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It quantifies the expected sampling variability for a given sample size. While based on probabilistic principles, this estimate assumes ideal conditions and does not adjust for potential design effects or real-world sampling imperfections. In this calculation, p is the proportion percentage, n is the sample size calculated by VoxDash directly from the data, and N is the population size.","Confidencelevel":"Confidence level","probabilitySampling":"Probability sampling","Cancelgroup":"Cancel grouping","Addgroup":"Add group","MOECalcByVoxdash":"Margin of error (calculated by VoxDash)","Confirm":"Confirm","Samplesize":"Sample size","MOE":"Margin of error","marginOfErrorCalculatedByVoxDash":"Margin of error","comparableMarginOfErrorCalculatedByVoxDash":"Comparable margin of error","Nopermission":"You do not have the necessary access level to view the results of this question.","Total":"Total","comparableMarginOfErrorCalculatedByVoxdash":"Comparable margin of error","marginOfErrorCalculatedByVoxdash":"Margin of error (calculated by VoxDash)"},"CrossQuestionComponent":{"YouDon’THaveAccessToThisQuestion":{"":"You don't have access to this question."},"Accesslevel":"Access level","YouDon'THaveAccessToThisQuestion":{"":"You don't have access to this question."},"YouDon’THaveAccessToThisQuestion":{"":"You don't have access to this question."},"Isrequired":"Is required"},"crossChart":{"Youdonthaveaccess":"You do not have access.","Viewplans":"View plans","PieChart":"Pie chart","DonutChart":"Donut chart","BasicBarChart":"Basic bar chart","BasicColumnChart":"Basic column chart","StackPercentageColumnChart":"Stacked percentage column chart","BasicLineChart":"Basic line chart","WithDataLabelChart":"With data label chart","DataLabelChart":"Data label chart","FromThisDataset":"From this data project","Pleaseupgrade":"Please upgrade"},"crossQuestionResult":{"Methodology":"Methodology","Citation":"Citation"},"ResultByComponents":{"Reverse":"Reverse","ResultBy":"Result by"}},"dataset":{"TermsAndConditionModal":{"Pleasefillinthefollowing":"Please fill in the following","TermsAndConditions":"Terms and conditions","Login":"Sign in","Youarealsoaccepting":"You are also accepting","VoxDashtermsandconditions":"VoxDash Terms and Conditions","Accept":"Accept","Next":"Next","descriptionForFillingTheForm":"The data provider requires this information as a condition of access. After you complete and submit the fields below, access to the dataset will be enabled and the data will become viewable.","termsImageAlt":"voxdash dataset terms"},"TechnicalInfoTab":{"sampleExclusions_Tooltip":"Groups or populations intentionally excluded from the survey sample","sampleExclusions":"Sample exclusions","SamplingFrame":"Sampling frame","RespondentQualificationAge":"Respondent qualification age","GeneralPopulation":"General population","Coverage":"Coverage","SamplingMarginOfError":"Sampling margin of error reported by the source","standardDispositionCodeSource":"Standard disposition code source","standardDispositionCodeSource_Tooltip":"Indicates the source or reference used for assigning standard disposition codes (e.g., AAPOR, ISO). This helps ensure consistent classification of respondent outcomes","surveyOutcomeRates_Tooltip":"Provides key survey outcome metrics such as response rate, cooperation rate, and refusal rate. 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This is important for transparency and compatibility when comparing datasets across time or sources.","AAPORv4RefusalRate3":"AAPOR v4.0 Refusal Rate 3 (R/((I+P)+(R+NC+O))","AAPORv4ContactRate2":"AAPOR v4.0 Contact Rate 2 ((I+P)+R+O / (I+P)+R+O+NC + e(UH+UO))","withInHouseHoldMethod":"Within household method","respondentsQualificationCriteria":"Respondent qualification criteria (screeners imposed)","surveyInvitationProcedure":"Survey invitation and respondent recruitment procedures","designEffect":"Design effect","samplingProcedures":"Sampling procedures","incidentRate":"Incidence rate (IR%)","weighted":"Weighted","boostOrAugment":"Boost or augment","populationSize":"Population size","quotasImposed":"Quotas imposed","oversamples":"Oversamples","AAPORv4ResponseRate1":"AAPOR v4.0 Response Rate 1 (I/(I+P) + (R+NC+O) + (UH+UO))","averageLengthOfInterview":"Average length of interview (LOI)","percentBackForQC":"% called back for QC","AAPORv4ResponseRate2":"AAPOR v4.0 Response Rate 2 ((I+P)/(I+P) + (R+NC+O) + (UH+UO))","AAPORv4ResponseRate3":"AAPOR v4.0 Response Rate 3 (I/((I+P) + (R+NC+O) + e(UH+UO) ))","AAPORv4ResponseRate4":"AAPOR v4.0 Response Rate 4 ((I+P)/((I+P) + (R+NC+O) + e(UH+UO) ))","AAPORv4RefusalRate1":"AAPOR v4.0 Refusal Rate 1 (R/((I+P)+(R+NC+O) + UH + UO)))","AAPORv4RefusalRate2":"AAPOR v4.0 Refusal Rate 2 (R/((I+P)+(R+NC+O) + e(UH + UO)))","AAPORv4ContactRate1":"AAPOR v4.0 Contact Rate 1 ((I+P)+R+O / (I+P)+R+O+NC+ (UH + UO))","AAPORv4ContactRate3":"AAPOR v4.0 Contact Rate 3 ((I+P)+R+O / (I+P)+R+O+NC)","AAPORv4CooperationRate1":"AAPOR v4.0 Cooperation Rate 1 (I/(I+P)+R+O))","samplingFrameSource":"Sampling frame source","occurances":"Any occurrences that may have influenced sampling procedures or respondent participation and/or answers","credibilityInterval":"Credibility interval","AAPORv4ContactRate3_Tooltip":"AAPOR v4.0 Contact Rate 3: Further adjusted for unknown eligibility","frame":"Frame","AAPORv4ContactRate1_Tooltip":"AAPOR v4.0 Contact Rate 1: Proportion of all sample units with which contact was made.","AAPORv4ContactRate2_Tooltip":"AAPOR v4.0 Contact Rate 2: Adjusted contact rate including eligible units only","AAPORv4CooperationRate1_Tooltip":"AAPOR v4.0 Cooperation Rate 1: Interviews divided by contacted eligible respondents","AAPORv4CooperationRate2_Tooltip":"AAPOR v4.0 Cooperation Rate 2: Includes partial interviews in the numerator","AAPORv4CooperationRate3_Tooltip":"AAPOR v4.0 Cooperation Rate 3: Includes cases with unknown eligibility","AAPORv4CooperationRate4_Tooltip":"AAPOR v4.0 Cooperation Rate 4: The most inclusive cooperation rate under AAPOR v4.0","AAPORv4RefusalRate1_Tooltip":"AAPOR v4.0 Refusal Rate 1: Proportion of all cases in which the respondent refused to participate.","AAPORv4RefusalRate2_Tooltip":"AAPOR v4.0 Refusal Rate 2: Includes partials as refusals and adjusts for unknown eligibility","AAPORv4RefusalRate3_Tooltip":"AAPOR v4.0 Refusal Rate 3: Adjusts further for cooperation and contact rates","AAPORv4ResponseRate1_Tooltip":"AAPOR v4.0 Response Rate 1: Basic rate including only eligible respondents","AAPORv4ResponseRate2_Tooltip":"AAPOR v4.0 Response Rate 2: Includes estimated eligibility of cases with unknown eligibility.","frame_Tooltip":"Describes the sampling frame used to select respondents (e.g., address-based, telephone-based, panel). The frame defines the population that the survey aims to represent","wasRespondentIncentivised":"Was the respondent incentivized in any way?","AAPORv4ResponseRate3_Tooltip":"AAPOR v4.0 Response Rate 3: Includes partial interviews in the numerator","AAPORv4ResponseRate4_Tooltip":"AAPOR v4.0 Response Rate 4: Most inclusive, counting partials and estimated eligibility","qcProcedure":"QC procedure","DatasetName":"Dataset name","AAPORv4CooperationRate2":"AAPOR v4.0 Cooperation Rate 2 ((I+P)/((I+P)+R+O)))","surveyOutcomeRates":"Survey outcome rates","averageLengthOfInterview_Tooltip":"The average duration in minutes it took respondents to complete the interview","boostOrAugment_Tooltip":"Specifies whether any subgroup was oversampled or augmented beyond the general sampling plan","Call-CenterPhysicalLocation_Tooltip":"Call center physical location","DatasetName_Tooltip":"The official name assigned to this dataset.","NoTechnicalInfo":"No technical info","AAPORv4CooperationRate3":"AAPOR v4.0 Cooperation Rate 3 (I/((I+P)+R)))","DataCollectionStartDate":"Data collection start date","DataCollectionStartDate_Tooltip":"The date when data collection for this survey began.","AAPORv4CooperationRate4":"AAPOR v4.0 Cooperation Rate 4 ((I+P)/((I+P)+R)))","ComparableSamplingMarginOfErrorCalculatedByVoxdash_Tooltip":"This is a comparable Margin of Error (MOE); it reflects what the MOE would be if the sample were drawn randomly from the general population. Since the sampling method for this study may not be probabilistic, this estimate does not reflect design-based error or selection bias. P is proportion percentage, N is the sample size calculated by VoxDash directly from the data, and N is the population size. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","Coverage_Tooltip":"Describes the geographic or administrative scope of the dataset, such as neighborhood, city, national, or global. Helps you understand how localized or broad the data is and whether it aligns with your area of interest.","credibilityInterval_Tooltip":"The number of percentage points on either side of a survey estimate that captures uncertainty. This value is calculated by the data provider’s own system and displayed by VoxDash as submitted. VoxDash does not recalculate or verify it.","PleaseTryAgainLater":"Please try again later.","designEffect_Tooltip":"The reported design effect reflects the impact of the sample design on the standard error.","TenchnicalInfo":"Technical info","GeneralPopulation_Tooltip":"Specifies whether the survey targets the general population or a specific subgroup. \"Yes\" means results aim to represent the broader public, not a niche or restricted audience. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","incidentRate_Tooltip":"The percentage of contacted individuals who qualified for and completed the survey. This value is calculated by the data provider’s own system and displayed by VoxDash as submitted. VoxDash does not recalculate or verify it.","occurances_Tooltip":"Number of times the survey was administered (e.g., single wave vs. repeated cross-section). This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","DataCollectionEndDate":"Data collection end date","SampleSize":"Sample size","oversamples_Tooltip":"Identifies whether oversamples were used for specific populations and explains their rationale. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","percentBackForQC_Tooltip":"Percentage of interviews that were reviewed or recontacted for quality control purposes. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","qcProcedure_Tooltip":"Describes the quality control procedures applied during and after data collection. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","populationSize_Tooltip":"Estimated total size of the population from which the sample was drawn. This value is calculated by the data provider’s own system and displayed by VoxDash as submitted. VoxDash does not recalculate or verify it. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","probabilitySample_Tooltip":"Indicates whether participants were selected using probability sampling methods, where every individual had a known, non-zero chance of selection. Probabilistic samples are essential for generalizing to the broader population. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","quotasImposed_Tooltip":"States whether quotas were used and what dimensions they were based on (e.g., age, gender, region). This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","SamplingMethod":"Sampling method","Call-CenterPhysicalLocation":"Call center physical location","RespondentQualificationAge_Tooltip":"The age range used to qualify respondents for this survey. If unspecified, no age-based restriction is applied to participant eligibility. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","RespondentQualificationAge_tooltip":"The age range used to qualify respondents for this survey. If unspecified, no age-based restriction is applied to participant eligibility. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","respondentsQualificationCriteria_Tooltip":"Describes the criteria used to qualify respondents for inclusion in the sample (e.g., age, occupation, behavior)","sampleSize_Tooltip":"The number of completed responses or cases as stated by the original data provider. This reflects what the source organization has declared as its achieved sample size. This value is calculated by the data provider’s own system and displayed by VoxDash as submitted. VoxDash does not recalculate or verify it.","sampleSizeCalculatedByVoxdash_Tooltip":"The number of valid cases recognized by VoxDash after processing the uploaded dataset may differ from the reported size if records are missing, incomplete, or filtered out during validation.","SamplingFrame_Tooltip":"Indicates how participants were reached, e.g., through phone, mail, online panels, or administrative records. This affects who was included or excluded and should be considered when assessing coverage, representativeness, and potential bias in the dataset.","samplingFrameSource_Tooltip":"Identifies the source of the sampling frame (e.g., list-based, RDD, ABS, panel provider). This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","SamplingMarginOfError_Tooltip":"The sampling margin of error is reported by the source of this data. This value is calculated by the data provider’s own system and displayed by VoxDash as submitted. VoxDash does not recalculate or verify it.","SamplingMarginOfErrorCalculatedByVoxdash_Tooltip":"This margin of error is estimated by VoxDash using standard probabilistic assumptions. It reflects expected sampling variability under ideal conditions, assuming a simple random sample. This assumption is based on the data provider’s claim that the sample is probabilistic. The estimate does not account for design effects or real-world sampling imperfections. In this formula, p is the population proportion (typically 0.5 to yield the most conservative estimate), n is the sample size (calculated by VoxDash from the dataset), and N is the population size.","SamplingMethod_Tooltip":"Describes how participants were selected, whether through random sampling, quotas, referrals, or self-selection. This affects how representative the data is and what kinds of statistical inferences are valid. This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","SurveyDataset_Tooltip":"This dropdown lets you switch between multiple survey waves or related datasets that belong to the same research project. Select a specific wave to view its technical details","samplingProcedures_Tooltip":"Detail the sampling procedure used (e.g., stratified random sampling, quota sampling, RDD). This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","surveyInvitationProcedure_Tooltip":"Explains how respondents were invited to participate in the survey (e.g., email, phone call, in person). This value is provided by the data provider. VoxDash displays it as submitted and does not modify or verify it.","SurveyDataset":"Survey data projects","ComparableSamplingMarginOfErrorCalculatedByVoxDash":"Comparable sampling margin of error calculated by VoxDash","SamplingMarginOfErrorCalculatedByVoxDash":"Sampling margin of error calculated by VoxDash","tooltipMOE":"This is a comparable Margin of Error (MOE); it reflects what the MOE would be if the sample were drawn randomly from the general population. 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Such memberships can signal credibility, adherence to standards, and connections within the industry."},"RelationsTab":{"SubsidiaryInstitutions":"Subsidiary institutions","AffiliatedInstitutions":"Affiliated institutions","pleaseTryAgainLater":"Please try again later","PleaseWaitAFewMinutes":"Please wait a few minutes","relationGraph":"Vendor network","depth":"Network depth","NoAffiliatesAvailableRightNow!":"No network available right now.","InstitutionSubsidiaryOf":"Institution subsidiary of","AffiliatedInstitutions_Tooltip":"List institutions affiliated with the vendor","depth_Tooltip":"Controls how many levels of connections are displayed in the affiliation network graph","InstitutionSubsidiaryOf_Tooltip":"Shows parent institution relationships","SubsidiaryInstitutions_Tooltip":"Displays organizations that are subsidiaries"},"SocialMedias":{"SocialMediaLinks":"External links","SocialMediaLinks_Tooltip":"Shows external social media links related to the vendor. Users can visit these profiles to see official updates, company news, or public content on platforms such as LinkedIn, Twitter, Facebook, and Instagram."},"VendorPage":{"AddToCart":"Add to cart","ReportThisPage":"Report this page","ClaimThisPage":"Claim this page","ShareDataset":"Share data project","ExportDataset":"Export data project","DatasetsRating":"Data projects rating","VendorsRating":"Vendors rating","DatasetsProvided":"Data projects provided","Employees":"Employees","Founded":"Founded","InviteToAnRfp":"Invite to an RFP","Following":"Following","VendorInformation":"Vendor information","IndustrySector":"Industry sector","InstitutionalCapabilities":"Institutional capabilities","KeywordsOfQualifications":"Keywords for qualifications","MembershipInProfessionalAssociations":"Membership in professional associations","ActiveCountries/Regions":"Active countries/geographies","SocialMediaLinks":"External links","SocialMediaLinks_Tooltip":"Shows external social media links related to the vendor. Users can visit these profiles to see official updates, company news, or public content on platforms such as LinkedIn, Twitter, Facebook, and Instagram.","global":"Global"},"VendorPersonTags":{"LoadLess":"Load less","LoadMore":"Load more"},"DataProfilesTab":{"DataProfileList":"Data profiles","NoDataPofileAvailableRightNow!":"No data profile available right now","Name":"Data profile name","Topics":"Topics","GeographicalRegions":"Geographies","DataTypes":"Data types","IndustrySector":"Industry sector","DataPurpose":"Data purpose","DataMode":"Data mode","Keyword":"Keyword","Description":"Description","Description_Tooltip":"A summary of the data profile","DataPurpose_Tooltip":"The purpose for which the data may be used.","GeographicalRegions_Tooltip":"Areas covered by the vendor's data","DataMode_Tooltip":"The format or mode of the provided data","DataProfileList_Tooltip":"Overview of the vendor's data profiles","DataTypes_Tooltip":"Types of data provided by the vendor","IndustrySector_Tooltip":"Industry sectors related to the vendor's data","Keyword_Tooltip":"Keywords associated with the data profile","Topics_Tooltip":"Key topics covered in the vendor's data"},"DatasetsTab":{"RelatedTopics":"Related topics","Regions":"Geographies","DataRole":"Data role","FilesCount":"File count","CollectionDate":"Collection date","Created":"Created","Name":"Name","Logo":"Logo","NoDatasetAvailableRightNow!":"No data is available right now."},"tombstone":{"by":"by","madePrivate":"This data has been made private","explanation":"A summary is shown because this data was previously widely available to the public.","noDataExposed":"No detailed data is exposed on this page."},"ContactInformationTab":{"Name":"Name","JobTitle":"Job title","DateOfBirth":"Date of birth","Email":"Email","Telephone":"Telephone","Fax":"Fax","PostalCode":"Postal code/ZIP code","Country":"Country","City":"City","State":"State","VendorProfileUniqueURL":"Vendor profile unique URL","WorkAddressLine1":"Work address line 1","WorkAddressLine2":"Work address line 2","WorkAddress":"Work address","WorkAddress_Tooltip":"Specifies the vendor's official work address. This information is used for identification, correspondence, and location-based data operations.","Email_Tooltip":"Shows the vendor's primary email address for communication. This contact is used for official correspondence such as inquiries, updates, and notifications.","NoContactInfo":"No data is available right now.","ContactInformation":"Contact information","websites":"Websites","City_Tooltip":"The city where this vendor is based. Useful for understanding regional presence and local expertise","ContactInformation_Tooltip":"This section displays the vendor’s key contact details, including phone, address, and online presence, helping you quickly connect and evaluate their accessibility","Country_Tooltip":"Shows the country where the vendor is based. This is useful for understanding regional expertise and identifying international availability.","DateOfBirth_Tooltip":"If applicable, display the date of birth of the vendor’s representative. This may be required for verification or compliance purposes.","Fax_Tooltip":"Provide the vendor’s fax number if available. While less common today, some vendors may still use fax for official document exchange.","JobTitle_Tooltip":"Displays the professional title of the vendor’s representative (e.g., Director, Project Manager). This helps you understand their role and decision-making authority","Name_Tooltip":"The official name of this vendor as registered on the platform. Use this to identify the organization when contacting vendors","PostalCode_Tooltip":"Displays the vendor's postal or ZIP code. This helps pinpoint their exact location for correspondence, deliveries, or regional identification.","State_Tooltip":"The state or province where the vendor operates helps you locate the vendor within its broader regional context","Telephone_Tooltip":"The vendor’s public telephone number. You can use this to directly reach out for inquiries, service details, or collaboration.","VendorProfileUniqueURL_Tooltip":"A direct link to this vendor’s profile page. Share or bookmark it to easily return to this vendor’s information","websites_Tooltip":"The vendor’s official website. Visit this link to learn more about their services, background, and portfolio.","WorkAddressLine1_Tooltip":"The vendor's main work address indicates where their office or headquarters is located","WorkAddressLine2_Tooltip":"Additional details of the vendor's address (e.g., suite, floor, unit) provide more precise location information if available","Websites_Tooltip":"Displays official websites linked to the vendor. These may include the organization’s main website, departmental pages, or project-specific sites. All links are provided by the vendor or data provider and can be used to verify identity or explore additional information."},"OverviewTab":{"created":"Date added","created_Tooltip":"Shows when this vendor profile was first added to VoxDash. The date reflects the provider’s submission, not the founding date of the organization or the release date of its data","Standards":"Standards","profesionalAssociations":"Professional associations","SeoDescription":"Auto-generated description","SeoDescription_Tooltip":"An automatically generated summary of this vendor profile, used by search engines and shown in link previews when this page is shared. Displayed publicly so you can see exactly what search crawlers and visitors will read.","Size":"Size","KeyPersons":"Individuals","SubsidiaryInstitutions":"Subsidiary institutions","InstitutionName":"Institution name","ProfessionalAssociations":"Professional associations","InstitutionSubsidiaryOf":"Institution subsidiary of","InstitutionRegistrationNumber":"Institution registration number","InstitutionType":"Institution type","VendorIdentityInVoxDash":"Vendor identity in VoxDash","WebsiteDomainRegisteredOn":"Website domain registered on","VatNumber":"VAT number","Description":"Description","VendorFiles":"Vendor files","Title":"Title","Download":"Download","Type":"Type","LegalOrganizationalInfo":"Legal and organizational information","RecordMetadata":"Record metadata","Description_Tooltip":"Provides a textual overview of the institution, including its mission, activities, and key capabilities. This section can help potential collaborators or clients understand the vendor's expertise and focus areas.","InstitutionRegistrationNumber_Tooltip":"The official number assigned to the institution by a government or regulatory authority for legal identification","InstitutionSubsidiaryOf_Tooltip":"Indicates the parent institution of this vendor","InstitutionType_Tooltip":"Classify the institution by its nature or function, such as academic, commercial, non-profit, governmental, or other.","KeyPersons_Tooltip":"Lists individuals associated with the institution who play important roles, such as founders, executives, researchers, or project leads. This helps users understand who is behind the data, their roles, and potential points of contact","ProfessionalAssociations_Tooltip":"Shows associations with which the vendor is affiliated","Standards_Tooltip":"List the standards followed by the vendor","SubsidiaryInstitutions_Tooltip":"Shows institutions that are subsidiaries of this vendor","VatNumber_Tooltip":"The Value Added Tax (VAT) identification number is used for tax purposes in jurisdictions where applicable.","VendorIdentityInVoxdash_Tooltip":"Shows all roles and functions the vendor holds within VoxDash, such as data provider, data collector, distributor, or quality control. Vendors may have multiple identities depending on their activities.","WebsiteDomainRegisteredOn_Tooltip":"The date the vendor's website domain was registered","VendorIdentityInVoxdash":"Vendor identity in VoxDash","fileTypeImageAlt":"voxdash overview"},"Network":{"NoDataAvailableRightNow":"No data available right now"},"VendorTombstone":{"bannerAlt":"private vendor"}},"surveyPreview":{"SurveyPreviewComponent":{"totalPages":"Total Pages","selectLanguageHint":"Select your preferred language","startPreviewButton":"Start preview","surveyPreviewFallbackTitle":"Survey Preview"}},"dataProfile":{"DataProfilesBox":{"CreateDataProfile":"Create data profile","CreateYourFirstDataProfile":"Create your first data profile","RelationScore":"Relation score","Profile":"Profile","LoginToViewYourDataProfiles":"Sign in to view","DeleteDataProfile":"Delete data profile","AreYouSure":"Are you sure you want to delete?","NotSuccessful!":"Not successful","YourRelatedDataProfiles":"Your related data profiles"}},"Contract":{"contractReports":{"DataLicenseRelevantToThisDataset":"Data license relevant to this data project","Position":"Position","InstitutionName":"Institution name","City":"City","State":"State","PostalCode/ZipCode":"Postal code/ZIP code","Country":"Country","Website":"Website","InstitutionRegistrationNumber":"Institution registration number","HereinafterKnowInThisContractAsThe\"Data-Provider\",OnOneSide,And":"Hereinafter known in this contract as the \"Data provider\", on one side, and","Definitions":"Definitions","ThisIsALicenseContractBetween":"This is a license contract between","Salutation":"Title","Firstname":"First name","Lastname":"Last name","E-Mail":"Email","TelephoneCountryCode":"Telephone country code","Telephone":"Telephone","Data-OwnerOfThisDataset":"Data owner of this data project","Data-CollectorOfThisDataset":"Data collector for this data project","DataQualityControlForThisDatasetWasPerformedBy":"Data quality control for this data project was performed by","License":"License","TheData-ProviderGrantsTheUseOfThisDatasetTo\"Buyer/Subscriber\"WithT":"The data provider grants the use of this data project to \"Buyer/Subscriber\" with the following limitations","NumberOfDaysThisDatasetCanBeUsed":"Number of days this data project can be used","Sub-LicensePolicyForThisDataset":"Sub-license policy for this data project","IndustrySectorsRelevantToThisDataset":"Industry sectors relevant to this data project","Data-ProviderHasDetailedTheFollowingAboutTheBatchOfFilesIncludedIn":"The data provider has detailed the following about the batch of files included in this data project","TheAboveInformationAndLimitationsAreBasedOnWhatData-ProviderAndBuy":"The above information and limitations are based on what the data provider and Buyer/Subscriber have provided to the platform.","HereinafterKnowInThisContractAsThe\"Buyer/Subscriber\",OnTheOtherSid":"Hereinafter known in this contract as the \"Buyer/Subscriber\" on one side. Each of them is referred to as a \"Party\" in this contract, and together they are referred to as \"Parties\". VoxDash, as a platform, is not a Party to this contract.","LimitationsImposedBasedOnGeographicalRegionsOnTheUseOfThisDataset":"Limitations imposed based on geography on the use of this data project","IndustrySectorsThisDatasetCannotBeUsedInThem":"Industry sectors where this data project cannot be used","TheDataPurposeBestServedByThisDataset":"The data purpose best served by this data project","DataPurposesThisDatasetCannotBeUsedInThem":"Data purposes: this data project cannot be used for them","TheCollectionOrProductionOfThisDataStartedOn":"The collection or production of this data started on","TheCollectionOrProductionOfThisDataEndedOn":"The collection or production of this data ended on","WorkAddress":"Work address","Data-ProviderStaticPartAddHere":"Data provider static part added here","PricingAndAccess-Level":"Pricing and access level","PriceWithWhichUsersCanPurchaseThisWholeDatasetAsAOneTimePurchase":"Price for which users can purchase this entire data project as a one-time purchase","EstablishmentOfContract":"Establishment of contract","DataOffered":"Data offered","TheData-ProviderOffersTheFollowingDataset":"The data provider offers the following data project","TitleOfThisDataset":"Title of this data project","DetailedDescriptionForThisDataset":"Detailed description for this data project","TopicsCoveredByThisDataset":"Topics covered by this data project","GeographicalRegionsCoveredByThisDataset":"Geographies covered by this data project","DataTypesRelevantToThisDataset":"Data types relevant to this data project"},"ContractForm":{"TheCollectionOrProductionOfThisDataStartedOn":"The collection or production of this data started on","InstitutionName":"Institution name","ThisIsALicenseContractBetween":"This is a license contract between","WorkAddress":"Work address","City":"City","State":"State","Salutation":"Title","Firstname":"First name","PostalCode/ZipCode":"Postal code / ZIP code","Country":"Country","Website":"Website","Definitions":"Definitions","EstablishmentOfContract":"Establishment of contract","DataOffered":"Data offered","TheData-ProviderOffersTheFollowingDataset":"The data provider offers the following data project","TitleOfThisDataset":"Title of this data project","Lastname":"Last name","E-Mail":"Email","DetailedDescriptionForThisDataset":"Detailed description for this data project","TelephoneCountryCode":"Telephone country code","TheAboveInformationAndLimitationsAreBasedOnWhatData-ProviderAndBuyer/":"The above information and limitations are based on what the data provider and buyer/subscriber have provided to the platform.","Telephone":"Telephone","Position":"Position","Data-ProviderStaticPartAddHere":"Data provider static part added here","TopicsCoveredByThisDataset":"Topics covered by this data project","Discount(%OfThePrice)OnThePriceOfEachOfTheFile(s)InThisBatch":"Discount (% of the price) on the price of each of the file(s) in this batch","TotalPrice(includingDiscount)WithWhichUsersCanPurchaseEachOfTheFile(s":"Total price (including discount) with which users can purchase each of the file(s) in this batch as a one-time purchase","Access-levelWithWhichUsersCanAccessEachOfTheFile(s)InThisBatchAsASubs":"Access level with which users can access each of the file(s) in this batch as a subscriber","GeographicalRegionsCoveredByThisDataset":"Geographies covered by this data project","PricingAndAccess-Level":"Pricing and access level","DataTypesRelevantToThisDataset":"Data types relevant to this data project","IndustrySectorsRelevantToThisDataset":"Industry sectors relevant to this data project","TheDataPurposeBestServedByThisDataset":"The data purpose best served by this data project","DataLicenseRelevantToThisDataset":"Data license relevant to this data project","Data-OwnerOfThisDataset":"Data owner of this data project","InstitutionRegisterationNumber":"Institution registration number","Free":"Free","Data-CollectorOfThisDataset":"Data collector for this data project","PriceWithWhichUsersCanPurchaseThisWholeDatasetAsAOneTimePurchase":"Price for which users can purchase this entire data project as a one-time purchase","DataQualityControlForThisDatasetWasPerformedBy":"Data quality control for this data project was performed by+B1322B1402B1279:B1369B1318:B1369B1402B1279:B1369B1321:B1369B1322:B1369B1323:B1369B1324:B1369B1325:B1369B1326:B1369B1327:B1369B1328:B1369B1329:B1364:B1369","description":"Description","License":"License","TheData-ProviderGrantsTheUseOfThisDatasetTo\"Buyer/Subscriber\"WithTheF":"The data provider grants the use of this data project to \"Buyer/Subscriber\" with the following limitations","LimitationsImposedBasedOnGeographicalRegionsOnTheUseOfThisDataset":"Limitations imposed based on geography on the use of this data project","SpecificQualityStandardOrGuidelineDocument(s)FollowedInTheCollectionO":"Specific quality standard or guideline document(s) followed in the collection of this data project","IndustrySectorsThisDatasetCannotBeUsedInThem":"Industry sectors where this data project cannot be used","DataPurposesThisDatasetCannotBeUsedInThem":"Data purposes: this data project cannot be used for them.","Data-ProviderHasDetailedTheFollowingAboutTheBatchOfFilesIncludedInThi":"The data provider has detailed the following about the batch of files included in this data project","QualityStandardsOrGuidelinesOfProfessionalAssociation(s)OrStandardOrg":"Quality standards or guidelines of professional associations or standard organizations followed in the collection of this data project","NumberOfDaysThisDatasetCanBeUsed":"Number of days this data project can be used","establishmentOfContractTbd":"TBD","Sub-LicensePolicyForThisDataset":"Sub-license policy for this data project"}},"vendors":{"headerTitleVendor":{"vendorLogoAlt":"voxdash vendor logo"}},"keyPerson":{"DatasetsTab":{"PleaseTryAgainLater!":"Please try again later.","NoDatasetAvailableRightNow!":"No data project available right now","FilesCount":"Files count","DataRole":"Data role","Regions":"Geographies","RelatedTopics":"Related topics","Logo":"Logo","Name":"Name","Created":"Created","CollectionDate":"Collection date","DatasetLogoAlt":"Dataset logo"},"IndividualPage":{"AddToCart":"Add to cart","ReportThisPage":"Report this page","ClaimThisPage":"Claim this page","ShareDataset":"Share data project","ExportDataset":"Export data project","InviteToAnRfp":"Invite to an RFP","SocialMediaLinks_Tooltip":"Displays external social media links associated with the individual. Users can view public profiles to learn more about their professional presence, updates, or publicly shared content on platforms such as LinkedIn, Twitter, and Instagram.","VendorsRating":"Vendors rating","DatasetsRating":"Datasets rating","Follow":"Follow","Following":"Following","PersonInformation":"Person information","Keywordsofqualifications":"Key words of qualifications","MembershipinProfessionalAssociations":"Membership in professional associations","GeographicalRegions":"Geographies","Languages":"Languages","SocialMediaLinks":"Social media links"},"IndividualPageNewDesign":{"YourRelatedDataProfiles":"Your related data profiles","DatasetsRating":"Data projects rating","IndividualRating":"Individual rating","Export":"Export","Popularity":"Popularity","PersonInformation":"Person information","personalCapabilities":"Personal capabilities","industrySector_Tooltip":"Specifies the primary industry or market sector associated with the individual’s professional background. This classification helps categorize areas of expertise, align key persons with relevant business domains, and support analytics or filtering across sectors.","personalCapabilities_Tooltip":"Describes the individual’s core competencies, technical skills, and domain-specific expertise. This information is used to assess professional strengths, identify role suitability, and enhance matching or profiling within organizational analytics.","industrySector":"Industry sectors","Follow":"Follow","Following":"Following","KeywordsOfQualification":"Keywords of qualification","MembershipInProfessionalAssociations":"Membership in professional associations","GeographicalRegions":"Geographies","Languages":"Languages","InviteToAnRFP":"Invite to an RFP","RemoveFromWishlist":"Remove from wishlist","AddToWishlist":"Add to wish list","GeographicalRegions_Tooltip":"Indicates the geographies or countries where the individual has professional experience or is actively engaged. Useful for assessing regional expertise or relevance to your project.","KeywordsOfQualification_Tooltip":"List the individual’s main areas of expertise or specialization. These keywords help you understand their professional background and the types of projects or research they are best suited for.","Languages_Tooltip":"List the languages the person can work in. This helps you determine whether they can engage in projects or communication in your preferred language.","MembershipInProfessionalAssociations_Tooltip":"Shows professional organizations with which the person is affiliated. Memberships in associations often indicate credibility, recognition, and adherence to established standards in their field.","mobileProfileImageAlt":"voxdash overview Data"},"OverviewTab":{"Description":"Description","KeyPersonUniqueUrl":"Individual unique URL","KeyPersons":"Individuals","Standards":"Standards","created":"Date added","created_Tooltip":"Shows when this individual profile was first added to VoxDash. The date reflects the provider's submission, not when the individual conducted or published their work.","ContactInformation_Tooltip":"Provides the individual's professional contact details. Information may include work address, phone number, email, or website. Shared details are limited to what the individual or their organization has made publicly available.","Topics":"Topics","ProfessionalAssociations":"Professional associations","websites_Tooltip":"List professional or organizational websites associated with this individual. Links may include personal pages, institutional profiles, or project-related sites shared for reference.","SeoDescription":"Auto-generated description","SeoDescription_Tooltip":"An automatically generated summary of this individual's profile, used by search engines and shown in link previews when this page is shared. Displayed publicly so you can see exactly what search crawlers and visitors will read.","RecordMetadata":"Record metadata","websites":"Websites","ContactInformation":"Contact information","KeyPersonUniqueUrl_Tooltip":"A unique link to this individual’s profile page can be shared or bookmarked for easy reference","Description_Tooltip":"A narrative overview of the individual, highlighting their expertise, background, and areas of contribution","ProfessionalAssociations_Tooltip":"List the professional associations, memberships, or societies with which the individual is affiliated, as this is helpful for evaluating credibility and networks.","Standards_Tooltip":"Shows the methodological or industry standards this individual adheres to in their professional work (e.g., AAPOR, ISO)","Topics_Tooltip":"Displays the primary research or professional topics in which the individual specializes, helping users find experts by subject area."},"VendorsTab":{"PleaseTryAgainLater!":"Please try again later.","Vendors_Tooltip":"Shows organizations connected to this individual. Vendors may appear as employers, partners, clients, or collaborators. Each vendor link opens the organization’s profile with information on its activities, standards, and data contributions.","NoVendorAvailableRightNow":"No vendor is available right now","Vendors":"Vendors","NoVendorsAvailableRightNow":"No vendors available right now"},"ContactInformationTab":{"Email":"Email","Telephone":"Telephone","Fax":"Fax","PostalCode/ZipCode":"Postal code / ZIP code","WorkAddress":"Work address","Country":"Country","City":"City","State":"State","WorkAddress_Tooltip":"Specifies the vendor's official work address. This information is used for identification, correspondence, and location-based data operations.","VendorProfileUniqueUrl":"Vendor profile unique URL","WorkAddressLine1":"Work address line 1","WorkAddressLine2":"Work address line 2","PleaseTryAgainLater!":"Please try again later.","Name":"Name","JobTitle":"Job title","DateOfBirth":"Date of birth","City_Tooltip":"Displays the city where this individual is based. Useful for understanding their regional presence or local expertise","Country_Tooltip":"Shows the country of residence or professional base of the individual, providing context for their international scope or focus","DateOfBirth_Tooltip":"If available, shows the date of birth of the individual. This may be included for verification or biographical context.","Email_Tooltip":"The individual's professional email address is used for direct communication and project-related inquiries","Fax_Tooltip":"Provide the fax number of the individual if available. Although less common today, it may still be used for official document exchange.","JobTitle_Tooltip":"Shows the professional title or current role of the individual (e.g., Research Director, Principal Investigator)","Name_Tooltip":"The full name of the individual as registered on the platform. This is their primary identifier in the system","PostalCode/ZipCode_Tooltip":"Displays the postal or ZIP code associated with the individual's professional address, providing precise location details","State_Tooltip":"Shows the state, province, or regional jurisdiction associated with the individual's professional address","Telephone_Tooltip":"Provide the professional telephone number for the individual, useful for direct contact or coordination.","VendorProfileUniqueURL_Tooltip":"A direct link to the vendor profile this individual is associated with. Useful for exploring their organizational context","WorkAddressLine1_Tooltip":"The primary line of the individual's work address (e.g., street and building number)","WorkAddressLine2_Tooltip":"Additional details of the work address (e.g., office number, suite, floor) help refine the physical location if available"},"individualPageNewDesign":{"Network":"Network","ContactPerson":"Contact person","Vendors":"Vendors","Datasets":"Data projects","DataProfile":"Data profiles","Overview":"Overview"},"Acoordion":{"Keyword":"Keyword","DataMode":"Data mode","DataPurpose":"Data purpose","IndustrySector":"Industry sector","DataTypes":"Data types","GeographicalRegions":"Geographies","Topics":"Topics","DataMode_Tooltip":"This shows the methodological approach behind the dataset, such as behavioral, experimental, or observational methods. Understanding the data mode helps you judge how the information was gathered and how it should be interpreted.","DataPurpose_Tooltip":"Displays the primary purpose of the dataset. Examples include academic research, policy analysis, ESG (environmental, social, and governance) reporting, or commercial decision-making. The purpose provides insight into why the data was collected and how it may be used.","DataTypes_Tooltip":"Identifies the type of data included in this profile, such as survey responses, administrative records, social data, or economic statistics. Knowing the type of data helps assess relevance and comparability with other sources.","GeographicalRegions_Tooltip":"List the geographic coverage of this dataset, whether it focuses on specific countries, geographies, or has global reach. 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All rights reserved","FreePlans":"Free plans","Membershipplans":"Membership plans","Vision":"Our vision"},"DatasetInRow":{"dataProject":"Data project"},"VendorInRow":{"vendor":"Vendor","region":"Geographies","dataProvider":"Data provider","industrySector":"Industry sector","dataOwner":"Data owner","topic":"Topic","collectionDate":"Collection date","dataProjectsInvolved":"Data projects involved","founded":"Founded","location":"Location"},"QuestionInRow":{"Response":"Response","And":"And","dataProvider":"Data provider","region":"Region","More":"More","question":"Survey question","FromDataset(s)":"From dataset(s)"},"KeyPersonInRow":{"RelationScore":"Relation score","employer":"Employer","dataProjectsInvolved":"Data projects involved","vendorsInvolved":"Vendors involved"},"KeypersonInRow":{"individual":"Individual","Position":"Position"},"DataProfilesTab":{"NoDataPofileAvailableRightNow!":"No data profile available right now"},"DatasetsTab":{"NoDatasetAvailableRightNow!":"No dataset available right now"},"datasetsTab":{"DataOwner":"Data owner","DataQC":"Data QC","DataSponsor":"Data sponsor","DataUser":"Data user","Media":"Media","DataProvider":"Data provider","Distributor":"Distributor","DataRespository":"Data repository","Publisher":"Publisher","Contributors":"Contributors","DataCollector":"Data collector"},"NetworkTab":{"relationGraph_Tooltip":"Visual representation of institutional relationships"},"RelationsTab":{"pleaseTryAgainLater":"Please try again later"},"CitationTab":{"Citation":"Citation"},"FilesTab":{"Citation":"Citation","Information":"Information","DataProviderDidNotUploadTheOriginalFileToVoxDash":"Data Provider has not uploaded the original file to VoxDash.","beCareful":"Be careful. VoxDash cannot scan this file for malicious content."},"NotificationsTab":{"Submit":"Submit","Non-Editable":"Non-editable","VoxDash":"VoxDash","Email":"Email","Loading":"Loading","SMS":"SMS"},"DownloadModal":{"areYouSureToDownloadThisFile":"Are you sure you want to download this file?","beCarefulWithThisFile":"Be careful with this file. This file can't be scanned for malicious content. Avoid downloading it unless you know the sender and are confident that it is legitimate.","download":"Download","cancel":"Cancel"},"TermsAndConditionModal":{"Pleasefillinthefollowing_Tooltip":"This information is required by the data provider before access is granted. 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AI credits are consumed whenever you run automated text analysis, prompt-based queries, or open-ended coding. Credits refresh monthly based on your subscription plan limits, and additional credits can be purchased as add-ons if you exceed the quota. Processing is billed per token, and AI credits are the unit of payment representing the total amount of AI processing you can perform. Unused AI credits provided in your subscription plan do not roll over to the next month.","AIChatProcessing_tooltip":"Using your AI credits, VoxDash’s ChatGPT integration allows you to analyze and explore your data through natural-language prompts. You can upload files or reference stored survey datasets, then enter questions or instructions in plain English, such as “What percentage supported policy X among respondents under 30?” or “Summarize the main concerns across age groups.” The AI interprets structured and unstructured content to generate summaries, explanations, or quantitative answers without requiring you to code or run filters and pivot tables. VoxDash interprets the query and generates a structured response based on stored variables, simplifying data exploration without requiring statistical or programming expertise.","AIOpenEndedTextProcessing_tooltip":"This feature uses your AI credits to automatically code open-ended survey responses. The system analyzes text answers and proposes categories (with or without an existing codebook), allowing you to edit, merge, or refine the categories before applying them at scale. This reduces manual coding time while preserving researcher control over the final code structure.","AISentimentAnalysis_tooltip":"This feature applies natural language processing to open-ended responses to identify tone and sentiment. Responses are classified into categories such as positive, negative, or neutral. Sentiment scoring allows you to detect overall mood trends in your dataset, compare sentiment across demographic subgroups, or track changes in tone over time. All results are generated using AI credits and can be exported for further statistical analysis.","AITranslation_tooltip":"This feature allows you to translate open-ended survey responses into multiple languages using your AI credits. Translations preserve the original meaning and context of responses to enable cross-country and cross-language analysis. The translated text can be stored alongside the original text, making it possible to run coding, sentiment, or syntax corrections in the translated language while retaining the original source for reference.","AISyntaxCorrection_tooltip":"This feature uses your AI credits to automatically correct grammar, spelling, and syntax issues in open-ended responses. Corrections are designed to improve readability and standardize responses for downstream analysis. Both the corrected text and the original response are retained, ensuring researchers can reference or revert to the original data when needed.","AIBrandTagging_tooltip":"This feature uses your AI credits to identify and tag mentions of brands, products, or key entities in open-ended responses. Identified terms are stored as structured tags alongside the text, enabling researchers to isolate brand-related feedback, measure brand sentiment, or conduct entity-level comparisons across surveys and datasets.","AIDataPrivacyProtection_tooltip":"Unlike regular ChatGPT subscriptions, where user inputs may be used to train and improve ChatGPT models, VoxDash processes all AI tasks through the ChatGPT API. Data sent through the API is excluded from model training by default. API data is temporarily retained for up to 30 days for security monitoring and then deleted unless required by law. This gives VoxDash users enterprise-level data privacy, ensuring their survey text, prompts, and AI results remain outside ChatGPT’s training pipeline. VoxDash AI features are not intended for processing or sharing personally identifiable information (PII) with AI providers. The legal treatment of PII in AI contexts remains uncertain, and users are responsible for avoiding such submissions.","AIGeneratedCodebooks_tooltip":"AI-generated codebooks allow providers to automate documentation of survey variables and response options. Using AI credits, VoxDash analyzes datasets and drafts initial codebooks that can be edited or expanded. You can interactively refine these categories - editing, merging, or deleting them - to build a tailored codebook. Once finalized, you can apply it to auto-code responses. This helps standardize documentation across projects and reduces manual data-entry work for research teams.","AutomaticDOIAssignment_tooltip":"VoxDash integrates with DataCite to assign permanent DOIs to datasets. DOIs can be issued automatically when public projects are published or requested manually by data providers through the “DOI issuance” action. Each published dataset receives a permanent DOI through DataCite and machine-readable metadata using the schema.org Dataset vocabulary. DOIs make datasets citable in journals and searchable on Google Dataset Search, OpenAIRE, and DataCite Commons. Metadata updates sync automatically when project details change. This satisfies FAIR “Interoperable” requirements and aligns with DataCite standards for DOI integration.","GranularAccessControl_tooltip":"Providers can configure detailed sharing permissions for each dataset, file, or profile. Access can be granted or restricted at the level of specific users, groups, or organizations. This feature also includes the ability to temporarily pause all access to a dataset while maintaining its public visibility. These controls allow providers to align VoxDash access with institutional policies and licensing agreements.","ViewAuditTrail_tooltip":"Each data project includes a detailed audit trail that records changes and access events. This trail records all updates made to a data project or its metadata, including changes to file details, access permissions, and question visibility. It logs who performed each action and when, providing a verifiable record for governance and accountability. The audit trail provides transparency, accountability, and compliance support for institutional governance and research standards.","MaxUserAccessPoints_tooltip":"This sets the maximum number of distinct user access points available under your plan across all your data projects. A user access point refers to an individual email sign-in that is authorized to enter the system. For example, one person (staff member, client, etc.) with one email address counts as one access point. Organizations with multiple researchers or clients will need higher access allocations to support collaborative work. The unit of measurement is the number of user access points (emails).","MaxAuthorizedDomains_tooltip":"Counts every access grant where the recipient is an email domain (for example @example.com). One grant per data project per domain — not the number of unique domains.","AccessRequestManagement_tooltip":"Users who discover a dataset in the VoxDash catalog but lack permission can submit an Access Request to the data provider. These requests are logged and reviewed in a dedicated Request Management panel inside the provider dashboard. Data providers can filter requests by dataset, email, status, and more; then respond, accept, or reject access with full context and controls. This feature provides full context and controls for managing gated access, ensuring that datasets remain discoverable while still requiring explicit provider approval.","ActivityLogsProfileTracking_tooltip":"VoxDash automatically records both dataset activity and profile engagement for full transparency. Logs include events such as uploads, edits, deletions, access requests, and profile visits. Each record captures timestamps, user identifiers, and action context, creating a verifiable trail for governance and performance review. Providers can export all activity logs as Excel files for compliance, internal analytics, or institutional documentation.","RequireUsageQuestions_tooltip":"Providers can require prospective data users to answer screening questions (e.g., user email address, occupation, institutional affiliation, purpose of access) before granting data access. Once the required responses are submitted, access is granted automatically, and a record of the answers is stored for the provider’s review.","SecureDashboardDeployment_tooltip":"VoxDash supports secure deployment of dashboards for private datasets by allowing role-based access and per-user permissions. Define client access, control which users can view specific dashboards, and restrict visibility to selected datasets or analysis results. Ideal for sharing sensitive data securely with internal teams, clients, or research partners.","TimeBasedAccessControl_tooltip":"When sharing datasets or dashboards with users, user groups, or email domains, VoxDash lets providers set both a start date/time and an expiry date/time for access. This ensures data is only accessible during precisely defined windows, ideal for embargoed releases, timed client access, or controlled collaborations.","AdvancedAccessTargeting_tooltip":"VoxDash allows you to share data or dashboards with specific users (via email), user groups, or entire email domains, and apply precise access windows with start and expiry settings. Use this to enforce embargoes, provide short-term client access, or restrict visibility to a defined time range. This complements user groups and domains by offering per-entry governance logic beyond role-based control.","ValidatedEmail_tooltip":"Data providers can require users to access or download datasets only with verified email addresses. VoxDash confirms each email’s validity by sending a verification link to the user and ensuring the address is active and accessible before approval. Verified emails are securely stored in the user’s profile and can be reused for future dataset access, ensuring verifiable and accountable interactions between data providers and users.","TotalStorageLimit_tooltip":"This field shows the maximum storage capacity allocated to your account across all data projects. The storage limit is measured in gigabytes (GB) and applies to every file type you upload.","CloudDataUpload_tooltip":"VoxDash supports integration with major cloud storage platforms, enabling providers to upload datasets directly from their cloud accounts. This streamlines ingestion workflows, reduces manual transfers, and ensures that large files can be imported efficiently and securely.","ControlDataProjectVisibility_tooltip":"VoxDash offers a unified catalog view for data providers to manage all their datasets. From a single panel, you can monitor access permissions, project visibility, T&C status, request counts, usage reports, profile tagging, and more. The provider-side catalog enables editing, visibility control, and instant access to project-specific governance tools. This ensures a streamlined experience for data curation and secure sharing.","FolderAwareBulkUpload_tooltip":"Upload entire folder structures, including nested subfolders and files, in a single action from your computer or cloud drives. VoxDash preserves the original hierarchy (folder structure) and supports multi-selection for faster organization, so data remains organized as on your local system. This is especially helpful for multi-folder attachments that are already structured by project.","UploadSessionPersistence_tooltip":"Uploaded files are temporarily stored in VoxDash until they are assigned to data projects. You can leave the upload modal and return later without losing your progress. This is useful for large data workflows or session interruptions.","SmartSearchFilters_tooltip":"Users can create and save personalized search filters in VoxDash. Saved filters allow quick retrieval of datasets, survey questions, or providers that match preferred criteria. A Data Profile acts like a reusable interest card that can be applied in one click. Users can create multiple profiles to manage distinct interests or research areas.","DiscoveryTagsForDataProviders_tooltip":"Data providers and vendors can tag their datasets and profiles with discovery tags (data profiles). These tags help categorize and expose datasets to users searching by topic, method, or geography. These profiles increase visibility by matching user-defined filters. Proper tagging helps ensure your work is surfaced in relevant search results and sort orders. Tags appear in search filters and improve visibility across VoxDash’s catalog without affecting dataset access permissions.","calculatedbyvoxdash_tooltip":"Provided by VoxDash (system-calculated). This value is automatically calculated by VoxDash's analytical system based on uploaded dataset parameters.","CustomStaticTextOnLandingPage_tooltip":"Organizations can add introductory or explanatory text to their landing page. This can include introductions, scope notes, acknowledgements, or links to external documentation.","HideUploaderIdentity_tooltip":"Providers may choose to hide the individual staff identity associated with data uploads. When enabled, uploads display under the organization profile instead of the individual uploader, reinforcing a corporate rather than individual attribution. VoxDash still records the uploader identity in the audit trail.","DisplayLogoAlongsideVoxDash_tooltip":"Organizations can display their logo alongside the VoxDash logo at the top of their data pages, reinforcing brand identity.","ReplaceVoxDashLogo_tooltip":"For a fully branded experience, providers can replace the VoxDash logo on their data pages with their own organizational logo. This ensures that users interacting with datasets associate the content with the provider’s identity. Branding changes are visible on dataset pages, creating a consistent institutional presence across VoxDash.","EnterpriseBranding_tooltip":"Enterprise users can tailor VoxDash’s interface to match their corporate identity, reinforcing brand presence across the platform. This includes colors, fonts, and interface elements to reflect institutional brand identity. Customized branding helps align the platform with organizational style guidelines and provides end users with a familiar, institution-specific experience while still maintaining VoxDash functionality and compliance controls.","CustomDomainUsage_tooltip":"Enterprise accounts can configure VoxDash to operate under a custom domain name, such as dashboard.yourdomain.com, ensuring alignment with organizational IT policies.","WhiteLabeling_tooltip":"Organizations may remove or replace all VoxDash branding so the platform appears entirely as their own. White labeling is suited for institutions that provide data access to external audiences and require a seamless brand identity. In this mode, VoxDash functionality remains intact but operates under the organization’s full visual and name identity.","AbilityToCreateAggregateMaps_tooltip":"When the sample size of a survey is too small to report reliable results for a specific region, you can combine multiple areas into an aggregated map view. This ensures that regional results remain statistically valid while still allowing geographic visualization. Aggregated maps can be configured by the data provider and displayed to end-users with clear labels indicating merged regions. You may also create aggregate regions to illustrate a particular geographic grouping, for example, in the context of the United States, showing how survey responses differ between Democratic-leaning states and Republican-leaning states.","MaxSurveysWithMapping_tooltip":"This limit defines the maximum number of surveys you can configure with the mapping feature using your geographic data across all your data projects. Survey maps allow you to visualize responses across regions, countries, or smaller units, depending on available data. They are counted separately from survey questions and are capped by plan type.","MaxCustomMaps_tooltip":"This limit defines the maximum number of custom maps you can upload or create (for example, GeoJSON files or custom boundary sets). Customized maps extend standard survey maps by allowing you to visualize responses across non-standard regions, such as districts, research zones, or institution-specific geographies. Limits vary by plan tier and apply across all data projects.","RegionalSurveyHeatmaps_tooltip":"When geographic identifiers are included in a dataset, VoxDash automatically renders responses as color-coded heatmaps. These maps dynamically color regions based on answer frequency to visualize the relative intensity or sentiment of answers across regions, helping users identify regional disparities, concentration patterns, or sentiment clusters at a glance. Maps update dynamically as filters are applied or removed.","MapDrillDownVisualization_tooltip":"When multiple map layers are available (for example, country to state to district), VoxDash automatically activates drill-down functionality. Selecting a region on the higher-level map dynamically opens the corresponding sub-map, preserving filters and showing the next level of geographic detail. Users can click on a country region to zoom into a more detailed map, unlocking finer geographic insights without any extra configuration.","CustomGeocodeRecognition_tooltip":"VoxDash uses ISO 3166 standards for country and subnational geographies by default. However, vendors can upload their own custom geographic codes, such as proprietary naming schemes for states, provinces, or city districts. Once uploaded, VoxDash remembers the mapping and automatically applies it to all future datasets from that vendor, eliminating the need to re-specify region definitions every time. This flexibility allows data providers to import and analyze region-coded datasets even when geographic identifiers differ from international standards.","DataOwnershipRetained_tooltip":"All files, surveys, and datasets uploaded to VoxDash remain the exclusive property of their original data owner. Uploading to VoxDash does not transfer or diminish any legal rights of ownership. Data providers, including entities like the VoxDash Public Archive, act as distributors or stewards on the platform but do not gain ownership by uploading. VoxDash itself also does not claim ownership of any dataset.","UploadCustomTermsAndConditions_tooltip":"Providers can upload and enforce their own terms and conditions (T&Cs) governing dataset use. These customized T&Cs are presented to prospective users before access is granted, ensuring that providers’ legal and ethical requirements are acknowledged and accepted.","DatasetUsagePermissions_tooltip":"Data providers can transparently define usage boundaries for each dataset, including geographic restrictions, industry exclusions, research purposes, usage duration limits, and sublicensing permissions. These fields inform users of acceptable use policies and are displayed alongside dataset access terms. Optional fields also include custom disclaimers, citation requirements, and related URLs.","DefaultContractGeneration_tooltip":"Every dataset includes a contract under the Contract tab. A default contract is automatically generated by VoxDash, combining VoxDash’s standard terms with any custom T&Cs provided. Users can download this contract, ensuring every dataset has a logged, legally consistent agreement.","ReusableContractsAndTAndCs_tooltip":"Data providers can reuse previously uploaded contracts and terms & conditions across datasets, reducing manual work and ensuring consistent licensing. Whether you're applying institutional terms or a recurring data usage contract, VoxDash allows you to select from a saved library of agreements. Default contracts and T&Cs can also be pre-set for new uploads, streamlining workflows and reducing the risk of inconsistency.","ClaimDataOwnership_tooltip":"Each data project page includes a “Claim this page” option. Verified data owners may submit documentation to establish their legal rights. Once approved, VoxDash transfers provider status from the current steward (e.g., VoxDash Public Archive) to the verified owner. This ensures that datasets are managed by their rightful owner while VoxDash continues to provide hosting, access control, and visibility functions without taking ownership itself.","EnforceTermsAcceptance_tooltip":"Providers may require all prospective users to explicitly accept their custom terms and conditions (T&Cs) and the auto-generated contract before access to a dataset is granted. This ensures that legal, ethical, or licensing restrictions are formally acknowledged as part of the access workflow.","OrganizationContractCustomization_tooltip":"Data providers can extend the standard automatic contract system with advanced controls and upload full-length legal contracts to govern the usage or sale of specific datasets, separate from the terms and conditions. Each dataset can be linked to a unique contract, reused across projects, or default to VoxDash’s contract template. This feature is especially useful for institutional providers or when preparing for monetization. Providers can upload full-length institutional contract language to be merged into the auto-generated contract, add or adjust clauses such as governing law and indemnity, apply branding, and export contract acceptance logs in bulk for compliance and record-keeping. These tools provide institutions with greater flexibility and assurance in managing their data access agreements.","OrganizationSwitcher_tooltip":"Every VoxDash user can belong to one or more “organizations”, such as your university, company, or personal account. Use the organization switcher to toggle between different data environments you have access to, including your own uploads and data shared with you by others. The organization dropdown allows users to select one or more data scopes, including the VoxDash Public Library, their own uploads, and affiliated organizations. With just a few clicks, users can restrict or expand their view to data relevant to specific roles, contexts, or clients.","MaxUserGroups_tooltip":"Counts every access grant where the recipient is a user group you created. One grant per data project per group — not the number of groups themselves.","MaxBasicUsers_tooltip":"Counts members of your organization with the Analyst role. Analysts can explore data but cannot edit content or grant access. Lower-tier (User-only) members do not count here.","MaxAdminUsers_tooltip":"Counts members of your organization with the Admin or Editor role. These roles can manage data projects, grant access, and edit content.","CreateAndManageOrganizations_tooltip":"You can create a new “organization” at any time, for example, to represent your research team, consultancy, or client workspace. Each organization can have its own datasets, users, permissions, and branding. You control which emails or domains have access. Organizations act as containers for datasets, dashboards, and user access, enabling team-wide visibility and structured governance without admin bottlenecks.","OrganizationInvitations_tooltip":"Each user has a dedicated Organization Invitations page where they can view and respond to invitations from multiple organizations. Users can accept or reject invitations, see who invited them and when, and choose to mute individual users or entire organizations to prevent notification spam. This system supports respectful access control while streamlining multi-org collaboration.","MultiOrganizationAccess_tooltip":"Users can verify multiple email addresses (e.g., name@university.edu, name@company.com), and VoxDash automatically associates them with the corresponding organizations. This allows seamless access to datasets, dashboards, and profiles from all affiliated organizations in one unified account; no sign-outs, no switching. Ideal for users collaborating across institutions. For example, if both your university and your work added your emails, you can seamlessly access data from both without switching accounts.","SeamlessPlanAndAddOnManagement_tooltip":"You can change your subscription tier or purchase add-ons like AI credits, storage, or user seats at any time. Updates take effect immediately, with new limits and features activated as soon as payment is confirmed. VoxDash recalculates billing automatically, ensuring access continues without interruption and all adjustments appear in your account dashboard and upcoming invoices.","BillingCycleAlignment_tooltip":"When you add features or switch plans, VoxDash aligns charges to a single renewal date to simplify accounting. Alignment reduces partial charges and keeps subscriptions and add-ons on one schedule for easier reconciliation and budgeting.","FlexiblePaymentOptions_tooltip":"VoxDash supports multiple payment methods, including credit and debit cards, supported digital wallets, and institutional invoicing for approved organizations. This accommodates individual researchers as well as procurement workflows that require purchase orders and consolidated billing.","SOCCertifiedPaymentInfrastructure_tooltip":"Every transaction on VoxDash is processed using encrypted channels and follows strict security protocols. VoxDash uses a payment processing platform that meets global standards like PCI-DSS, SOC 1, and SOC 2. All financial data is handled securely, without ever being stored on VoxDash servers. Processors maintain transaction logs, fraud monitoring, and required audits, while your billing details remain accessible in the account dashboard.","GDPRCompliantPaymentProcessing_tooltip":"VoxDash leverages Stripe’s PCI-certified processing infrastructure and uses Stripe’s Data Processing Agreement to ensure payment data handling aligns with GDPR, UK GDPR, CCPA, and other applicable frameworks in regions where Stripe operates. Sensitive payment information does not pass through VoxDash systems.","LocalizedCurrencySupport_tooltip":"When available, pricing and invoices are presented in your local currency based on billing location. Currency conversion is handled by a third-party payment platform using its managed rates. This helps institutions reconcile costs consistently across renewals, add-ons, and multi-seat purchases.","ResponsiveDesign_tooltip":"The VoxDash interface adapts automatically for phones, tablets, laptops, and desktops. Charts, tables, and filters are resized and reorganized to maintain usability across devices. No provider setup is required.","SSOLoginSupport_tooltip":"VoxDash supports single sign-on (SSO) authentication using trusted identity providers, including Google, LinkedIn (OAuth-based SSO), or secure email sign-in with 2FA.","MultilingualPlatformUI_tooltip":"VoxDash supports multiple languages for both user interface and internal search, enabling robust multilingual analysis and navigation.\n\n\nSupported languages: Arabic, Armenian, Bengali, Bulgarian, Catalan, Chinese, Czech, Danish, Dutch, English, Estonian, Filipino, Finnish, French, German, Greek, Hausa, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, Lithuanian, Malay, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Vietnamese.\n\n\nRegional variants are also supported, including Arabic (Egypt, Morocco, Saudi Arabia), Spanish (Spain, Mexico), Portuguese (Portugal, Brazil), and Serbian (Latin and Cyrillic).","CDNAcceleration_tooltip":"Dataset and dashboard pages are distributed through a global content delivery network (CDN). This improves performance by caching content close to end users and reducing latency. CDN distribution also adds resilience against traffic surges or localized outages. VoxDash uses professional third-party providers for payments, WAF/CDN/DDoS, AI, and cloud storage. These providers undergo their own audits; VoxDash inherits the benefits and adds governance, observability, and UX on top.","AutoScaledInfrastructure_tooltip":"VoxDash operates on Kubernetes with cloud-native auto-scaling. Resources expand dynamically during peak usage and contract during low activity to maintain responsiveness and efficiency. This automatic scaling focuses on balancing performance and cost while adapting to the workload of datasets, dashboards, and AI processing.","HighAvailabilityCloudHosting_tooltip":"VoxDash runs on Microsoft Azure’s fault-tolerant architecture with multiple availability zones and automated failover. Load balancing and regional redundancy protect against localized outages, helping maintain uninterrupted access to datasets even if a data center experiences downtime.","SeamlessPlatformMaintenance_tooltip":"VoxDash infrastructure and application layers are maintained automatically through Azure’s managed services. Security patches, container updates, and new feature releases are applied through rolling deployments without downtime. This approach keeps the environment current and available while minimizing disruption to active sessions.","UsageAnalyticsAndDashboards_tooltip":"VoxDash provides integrated usage analytics and interactive dashboards that summarize how datasets, dashboards, and user interactions evolve over time. Providers can view and export aggregated metrics on dataset views, downloads, access requests, AI usage, and governance actions. Visual dashboards allow filtering, comparison, and time-based analysis, turning platform-wide activity into actionable insights for performance evaluation and strategic planning.","IndividualProfilePages_tooltip":"Every verified VoxDash user has a dedicated public profile page with a customizable, unique URL. The page displays their published data projects, affiliations, and work details. Users can personalize this profile, select a unique URL (e.g., VoxDash.com/jack), and control its visibility. These profiles enhance discoverability, attribution, and professional presence within VoxDash and via search engines.","CustomURLPerVendorProfile_tooltip":"Organizations and data vendors receive public-facing profile pages summarizing their uploaded datasets, data governance policies, and institutional information. Each profile has a permanent, customizable, citable URL (e.g., VoxDash.com/your-org) and can include logos, links, and custom descriptions to support discoverability and attribution within VoxDash. These vendor pages act as a hub for showcasing activity, building visibility, and surfacing organizational data in search results. Access controls and engagement logs allow vendors to manage branding and track interest over time.","ControlVendorProfileVisibility_tooltip":"For each individual and vendor profile, providers can control whether it is accessible and discoverable via VoxDash’s search feature.","RelationshipNetworkVisualization_tooltip":"VoxDash automatically generates network diagrams showing relationships between individuals, vendors, and datasets. These visualizations reveal collaborations, data ownership links, and shared projects. Users can explore these networks interactively to understand how entities within VoxDash are connected and how their datasets interrelate. Users can adjust the network depth setting to explore direct and indirect links, surfacing research collaborations, organizational affiliations, or personnel connections across datasets. These graphs enhance transparency, traceability, and discovery across the platform.","ActiveSessionMonitoring_tooltip":"View all active sessions linked to the VoxDash account, including device type, browser version, IP address, and estimated location. This helps users and administrators detect suspicious sign-ins and manage account security proactively. Users can review current and historical session data to identify unauthorized access or expired sign-ins.","LoginHistoryTracking_tooltip":"VoxDash provides a detailed log of every sign-in attempt to your account, including timestamp, IP address, browser and device information, sign-in status, and estimated location. This allows users and administrators to audit access patterns, detect anomalies, and verify account activity over time.","DataEncryptionAndSSL_tooltip":"All data transmitted through VoxDash is protected with SSL encryption, enhancing secure communication during transfers. Files stored on VoxDash are also encrypted at rest to meet modern security standards. SSL is edge-terminated at global nodes to minimize latency. These measures safeguard provider data, reduce risks of interception, and align with industry expectations for data governance and compliance across jurisdictions.","ApplicationLayerAttackProtection_tooltip":"VoxDash uses a Web Application Firewall to inspect and block malicious traffic targeting vulnerabilities in the application layer (e.g., form injection, cross-site scripting). This adds another layer of protection beyond DDoS defense. VoxDash uses professional third-party providers for payments, WAF/CDN/DDoS, AI, and cloud storage. These providers undergo their own audits; VoxDash inherits the benefits and adds governance, observability, and UX on top.","NetworkLevelDDoSProtection_tooltip":"All VoxDash services are shielded by enterprise-grade protection against distributed denial-of-service (DDoS) attacks. This network-level defense increases the chance that dataset pages and dashboards remain available during attempted disruptions, protecting both providers and users from downtime and traffic flooding. VoxDash uses professional third-party providers for payments, WAF/CDN/DDoS, AI, and cloud storage. These providers undergo their own audits; VoxDash inherits the benefits and adds governance, observability, and UX on top.","BotTrafficMitigation_tooltip":"VoxDash applies automated detection and filtering of non-human traffic on public-facing dataset pages. This reduces the impact of automated scraping, malicious scanning, and traffic spikes, while prioritizing legitimate user access.","EnterpriseCloudSecurity_tooltip":"VoxDash operates within an Azure-managed Kubernetes environment designed for security and isolation. Container-level separation, managed secrets, and encrypted communication protect provider data. The infrastructure follows enterprise-grade security practices and is continuously monitored for anomalies to reduce exposure to emerging threats.","OptionalTwoFactorAuth_tooltip":"Two-factor authentication (2FA) provides an extra layer of sign-in security. When enabled, users must supply both a password and a second factor of authentication. This feature enhances protection against unauthorized access, even if sign-in credentials are compromised, and is recommended for all accounts handling sensitive data.","EnforceTwoFactorAuth_tooltip":"Providers can enforce Two-factor authentication (2FA) across all users associated with their provider panel. Enforced 2FA ensures that stronger sign-in security applies consistently to every user managing datasets. This prevents uneven application of security settings, protects shared accounts, and supports organizational or regulatory requirements for stricter access control policies.","EnhancedUserManagementNotification_tooltip":"Providers are notified whenever users are added to or removed from a user group, ensuring transparent recordkeeping. This feature allows providers to monitor account management activities closely and verify that changes follow organizational policy and authorization requirements.","EnhancedDataGovernanceNotification_tooltip":"Providers receive system notifications whenever dataset access permissions are granted or revoked. This feature strengthens oversight by alerting providers to changes in real time and supporting review of historical access modifications for compliance.","CustomizeFileTypeBlacklist_tooltip":"Providers can define a custom blacklist of restricted file types for uploads. This overrides VoxDash’s default restrictions and allows institutions to prevent storage of formats they consider high risk. Administrators may adjust the blacklist over time, ensuring the platform aligns with evolving organizational security policies and data-handling standards.","DedicatedWebpagePerQuestion_tooltip":"Every survey question uploaded to VoxDash is assigned its own dedicated SEO-optimized webpage with a permanent, unique URL. This page displays the question text, available responses, and results when permitted by the data provider. It supports sharing with colleagues or clients, embedding in reports, and indexing by external search engines and AIs, making each question discoverable for both academic audiences and AI tools. You have granular control over who can see each question and its results.","CustomURLPerDataProject_tooltip":"Each data project can be assigned a customizable, dedicated URL. Providers may configure this URL to support citation, discoverability, branding, and external linking. A consistent URL structure also improves indexing by search engines and reference by AI systems.","ControlQuestionPageDiscoverability_tooltip":"Providers decide if each survey question, data project, file, or profile appears in VoxDash’s internal search results. Disabling discoverability removes items from search and browsing but does not affect direct links or permissions.","ExternalSearchEngineIndexing_tooltip":"Providers can opt in or out of VoxDash requesting indexing of public pages by search engines such as Google or Bing. Only public content is eligible. Turning off indexing prevents future requests but does not guarantee immediate removal from external caches.","AIProviderIndexing_tooltip":"Providers choose whether public pages are eligible for indexing by AI providers (e.g., ChatGPT, Gemini). Only public content is included, and permissions remain enforced. Disabling stops future indexing requests but may not clear existing cached data.","ControlResultVisibility_tooltip":"For each survey question, you can configure whether its aggregated results are visible to other users. This setting is independent of question text visibility. If you grant access to results, the corresponding question text and options are automatically shown to ensure interpretability. Even when you allow access to the results, the user won't gain access to the data file (i.e., SPSS) itself. You have independent control over giving access to the data file.","AutomatedDashboardHosting_tooltip":"VoxDash automatically creates interactive dashboards for each uploaded survey dataset. These dashboards include filtering by survey question, grouping or coding of response options, cross-tabulation tools, and visualizations such as charts, graphs, and maps. Public datasets are accessible to all users; private dataset dashboards are visible only to authorized users based on access settings.","MaxSurveyQuestions_tooltip":"This is the maximum number of survey questions you can upload across all of your data projects. The count applies to all survey question types as stored in VoxDash and reflects the total number of survey questions. The unit of measurement is the number of survey questions.","MaxSurveySampleSize_tooltip":"This field shows the maximum number of survey respondents (sample size) allowed across all your projects. The sample size limit is applied cumulatively across all your projects and includes both completed and partially completed cases. Larger plan tiers allow higher respondent caps, so you can analyze broader or more representative samples without restructuring your projects. The unit of measurement is sample size (the number of respondents).","MaxSurveyWavesTrended_tooltip":"This is the maximum number of waves of survey questions you can show as a trend in VoxDash across all your data projects. The unit of measurement is the number of trended waves of the survey. A ‘wave’ refers to a repeated survey round, such as daily, monthly, or annual updates. More trends allow you to track more waves side by side, making it possible to identify patterns over time and report on changes across multiple periods.","SurveyDataAnalysisTools_tooltip":"Create and host interactive dashboards for each survey dataset with filters based on any survey question, grouping and recoding of response options, cross-tabulations, and visualizations, including charts, graphs, and maps. Dashboards for public datasets are automatically accessible to all users, enabling analysis without requiring downloads. These tools are available directly within each dataset’s dashboard, allowing users to examine results, compare subgroups, and export insights without requiring external statistical software.","InteractiveSurveyFiltering_tooltip":"On every survey question page, you can apply filters based on date, region, demographic groups, or other variables defined in the survey. Visuals update instantly as you adjust these filters, allowing you to compare how different populations or subgroups responded to the same question. Filters reflect variables defined in the survey dataset, allowing detailed exploration of population differences without reprocessing or exporting data.","ResponsiveSurveyCharts_tooltip":"Charts and maps adjust automatically to fit any screen or device. Visual layouts reorganize for readability on phones, tablets, and desktops, maintaining proportional axes, legends, and labels. This feature provides consistent usability and presentation quality across mobile and desktop environments without requiring separate configuration.","ExportChartVisualizations_tooltip":"Charts and maps on survey question pages can be exported in multiple formats, including PNG, SVG, PDF, and CSV. These exports preserve chart style and data integrity for use in academic papers, internal presentations, or policy reports. Visuals adapt to the customized format so they remain readable and publication-ready without additional formatting steps.","ControlQuestionVisibility_tooltip":"For each survey question, you can configure whether its question text wording and its response options are visible to other users. This setting operates independently from survey results visibility. It allows data providers to hide sensitive or internal question text. Additionally, when you grant this access, the user won't gain access to the data file (i.e., SPSS) itself. You have independent control over giving access to the data file.","ChangeTrendSimilarityThreshold_tooltip":"As part of survey-question trend management, the trend similarity tool helps identify survey questions that are comparable across datasets. Data providers can define the similarity threshold (based on wording overlap) to determine which questions qualify for longitudinal analysis. This setting facilitates creation of time-series or multi-wave trend charts.","TagSurveyAdminQuestions_tooltip":"You can tag specific survey questions as “Survey Administration Questions.” This helps separate metadata questions (for example, consent checks, survey quality items, or interviewer notes) from substantive research questions. These tags improve filtering, reporting, and clarity in dashboards. Users of your data can easily filter out these questions when analyzing and exploring your data.","TrendWithExternalData_tooltip":"Data providers may trend their own survey questions against comparable questions from other providers to which they have access. This enables broader longitudinal insights across different data sources, while still respecting each provider’s access controls and licensing terms.","ControlCrossTabFunctionality_tooltip":"You can enable or disable cross-tabulation for each survey or for each individual survey question. This control enables survey administrators to determine whether a question can be used as a row or column variable in cross-tab reports, ensuring that sensitive or inappropriate questions are excluded from cross-tabulation analysis.","MaxSurveys_tooltip":"This limit specifies the maximum number of surveys you can host within your VoxDash account. A “survey” is defined as a distinct project containing one or more questions and responses. 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19:T7b0,Extrapulmonary Tuberculosis (EPTB) poses challenges from patient and health system perspectives. The cost-effectiveness analysis of the Xpert MTB/RIF (Xpert) test to diagnose pulmonary tuberculosis is documented. However, there are no economic evaluations for EPTB. Considering the reported better diagnostic sensitivity of the MPT64 test, this study explored its cost-effectiveness as an alternative diagnostic test. We conducted this economic evaluation to assess the cost-effectiveness of the MPT64 test compared to Xpert and ZN microscopy for EPTB adult patients. We utilised a Markov modelling approach to capture short- and long-term costs and benefits from a health system perspective. For the model inputs, we combined data from our cohort studies in Tanzania and peer-reviewed EPTB literature. We calculated the Incremental Cost Effectiveness Ratio (ICER) by comparing the cost (in USD) of each diagnostic test and Quality Adjusted Life Years (QALYs) as health gain. We found the MPT64 test cost-effective for EPTB diagnosis and absolutely dominated ZN microscopy and Xpert using the baseline model inputs. A scenario analysis showed that the Xpert test might be the most cost-effective at its higher test sensitivity, which corresponds to using it to diagnose lymph node aspirates. The prevalence of HIV among EPTB cases, their probability of treatment, costs of ART, and the probability of the MPT64 test in detecting EPTB patients were the main parameters associated with the highest impact on ICER in one-way deterministic analysis. The most cost-effective option for EPTB at the baseline parameters was the MPT64 diagnostic test. Including the MPT64 test in EPTB diagnostic pathways for previously untreated patients can lead to better resource use. The Xpert test was the most cost-effective diagnostic intervention at a higher diagnostic test sensitivity in scenario analyses based on different sites of infection, such as for the lymph node aspirates.1a:T4fa,The CPS is the U.S. Government's monthly survey of unemployment and labor force participation. The BLS maintains a CPS Home Page with a great deal of information about the survey and the Census Bureau provides access to downloads of recent data. The CPS basic monthly files contain information on labor force status but do not contain the full income and demographic data contained in the March supplements, nor do they contain usual hours or wages except for the households in the outgoing rotation group.
A housing unit in the CPS is interviewed for four consecutive months and then dropped out of the sample for the next eight months and is brought back in the following four months. So, in any given month, one-eighth of the housing units are interviewed for the first month. When the system has been in operation for a full year, four of the eight rotation groups for any month will have been in the survey for the same month, one year ago. Matching information and Stata .do files from NBER Working Paper T0247 by B. Madrian and L. J. Lefgren are available for March-to-March Annual Demographic File matches but can be modified for use in matching CPS Basic Monthly Data. Census Technical Paper such as 66 and 63 contains more information about Design and Methodology.1b:T4fa,The CPS is the U.S. Government's monthly survey of unemployment and labor force participation. The BLS maintains a CPS Home Page with a great deal of information about the survey and the Census Bureau provides access to downloads of recent data. The CPS basic monthly files contain information on labor force status but do not contain the full income and demographic data contained in the March supplements, nor do they contain usual hours or wages except for the households in the outgoing rotation group.
A housing unit in the CPS is interviewed for four consecutive months and then dropped out of the sample for the next eight months and is brought back in the following four months. So, in any given month, one-eighth of the housing units are interviewed for the first month. When the system has been in operation for a full year, four of the eight rotation groups for any month will have been in the survey for the same month, one year ago. Matching information and Stata .do files from NBER Working Paper T0247 by B. Madrian and L. J. Lefgren are available for March-to-March Annual Demographic File matches but can be modified for use in matching CPS Basic Monthly Data. Census Technical Paper such as 66 and 63 contains more information about Design and Methodology.1c:T4fa,The CPS is the U.S. Government's monthly survey of unemployment and labor force participation. The BLS maintains a CPS Home Page with a great deal of information about the survey and the Census Bureau provides access to downloads of recent data. The CPS basic monthly files contain information on labor force status but do not contain the full income and demographic data contained in the March supplements, nor do they contain usual hours or wages except for the households in the outgoing rotation group.
A housing unit in the CPS is interviewed for four consecutive months and then dropped out of the sample for the next eight months and is brought back in the following four months. So, in any given month, one-eighth of the housing units are interviewed for the first month. When the system has been in operation for a full year, four of the eight rotation groups for any month will have been in the survey for the same month, one year ago. Matching information and Stata .do files from NBER Working Paper T0247 by B. Madrian and L. J. Lefgren are available for March-to-March Annual Demographic File matches but can be modified for use in matching CPS Basic Monthly Data. Census Technical Paper such as 66 and 63 contains more information about Design and Methodology.1d:T4fa,The CPS is the U.S. Government's monthly survey of unemployment and labor force participation. The BLS maintains a CPS Home Page with a great deal of information about the survey and the Census Bureau provides access to downloads of recent data. The CPS basic monthly files contain information on labor force status but do not contain the full income and demographic data contained in the March supplements, nor do they contain usual hours or wages except for the households in the outgoing rotation group.
A housing unit in the CPS is interviewed for four consecutive months and then dropped out of the sample for the next eight months and is brought back in the following four months. So, in any given month, one-eighth of the housing units are interviewed for the first month. When the system has been in operation for a full year, four of the eight rotation groups for any month will have been in the survey for the same month, one year ago. Matching information and Stata .do files from NBER Working Paper T0247 by B. Madrian and L. J. Lefgren are available for March-to-March Annual Demographic File matches but can be modified for use in matching CPS Basic Monthly Data. Census Technical Paper such as 66 and 63 contains more information about Design and Methodology.1e:T4fa,The CPS is the U.S. Government's monthly survey of unemployment and labor force participation. The BLS maintains a CPS Home Page with a great deal of information about the survey and the Census Bureau provides access to downloads of recent data. The CPS basic monthly files contain information on labor force status but do not contain the full income and demographic data contained in the March supplements, nor do they contain usual hours or wages except for the households in the outgoing rotation group.
A housing unit in the CPS is interviewed for four consecutive months and then dropped out of the sample for the next eight months and is brought back in the following four months. So, in any given month, one-eighth of the housing units are interviewed for the first month. When the system has been in operation for a full year, four of the eight rotation groups for any month will have been in the survey for the same month, one year ago. Matching information and Stata .do files from NBER Working Paper T0247 by B. Madrian and L. J. Lefgren are available for March-to-March Annual Demographic File matches but can be modified for use in matching CPS Basic Monthly Data. Census Technical Paper such as 66 and 63 contains more information about Design and Methodology.1f:T45a,We surveyed 11,001 U.S. adults online – including 9,114 registered voters – in July and August 2020. Everyone who took part is a member of Pew Research Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about the ATP’s methodology.

We also surveyed 1,750 U.S. adults by telephone – including 1,455 registered voters – in July and August 2020. The surveys were conducted in both English and Spanish over the phone under the direction of Abt Associates. Respondents to this survey were randomly selected via a combination of landline and cell phone random-digit-dial samples. To ensure that the results of this survey reflect a balanced cross-section of the nation, the data are weighted to match the U.S. adult population by gender, age, education, race and ethnicity and other categories.20:T513,SurveyNames_1,100,1002,101,1010,1025,1026,1028,103,104,138,140,141,143,144,146,148,151,153,154,155,157,159,160,161,162,163,164,165,167,168,169,171,172,174,175,176,178,179,180,181,183,184,186,187,213,214,215,218,221,222,225,228,229,230,233,237,238,239,241,242,244,245,247,248,250,251,253,255,256,257,260,261,264,265,267,268,269,273,274,275,277,278,281,282,285,286,287,290,291,293,296,297,298,300,301,304,306,308,310,319,399,406,422,423,426,427,429,430,431,433,434,435,437,438,440,441,446,447,449,450,451,474,475,476,48,486,488,489,490,502,503,504,512,513,514,516,517,518,520,521,522,524,525,526,527,537,538,539,540,542,543,544,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,595,596,597,598,601,602,608,609,610,611,614,615,624,625,626,628,629,63,630,635,636,637,639,640,641,643,644,646,647,648,65,650,651,652,653,66,664,665,667,668,669,671,672,678,682,685,686,687,689,69,690,691,692,694,695,697,699,701,704,706,709,711,712,714,716,718,719,72,721,722,724,727,728,729,73,734,736,738,739,741,742,744,745,746,748,749,750,752,753,754,756,758,759,76,760,762,763,764,766,767,772,779,78,787,788,789,79,797,798,799,8,800,806,81,810,814,815,825,829,83,832,84,843,844,853,86,87,874,879,89,890,895,896,897,909,91,910,911,912,915,922,930,934,935,948,956,957_0_0_12/31/9999 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