| 2018 | |
|---|---|
DDI, DataCite Metadata Schema | 0.47% |
DDI | 0.47% |
metadata standardized within my international telescope collaboration | 0.47% |
Don't know | 1.4% |
DataCite | 0.47% |
Genome Standards Consortium | 0.47% |
RIF-CS metadata standard in Australia | 0.47% |
ACDD | 0.47% |
igsn | 0.47% |
BIDS (Brain Imaging Data Structure) | 0.47% |
CF Convention | 0.47% |
our data is in several databases shared by a number of teams | 0.47% |
Genebank | 0.47% |
SDD (structured descriptive data) standard of TDWG | 0.47% |
SDMX | 0.47% |
OMV, DCAT, VOID, VOAF, MOD, PROV, SCHEMA.org | 0.47% |
Metadata standardized within funding source, different funding source in Taiwan ask a different format | 0.47% |
But also many others, and depending on the data types and study to describe; we use https://fairsharing.org/standards to find the appropriate one | 0.47% |
Genomic Observatories Metadatabase | 0.47% |
Evolving standard in field spectroscopy | 0.47% |
OBI, GO, CL, PRO, CDISC, Uberon | 0.47% |
W3C DCAT | 0.47% |
Use Data from other researchers. Our primary metadata is within computer code, i.e. comments and readme files | 0.47% |
TRiDaS (tree-ring data standard) | 0.47% |
MapInfo | 0.47% |
I do not know | 0.47% |
metadata systems used by international criminal courts | 0.47% |
ESCI | 0.47% |
I don't use data at this moment | 0.47% |
I don't work with data personally | 0.47% |
NELAP (National Environmental Laboratory Accreditation Program) | 0.47% |
I do not understand the question | 0.47% |
Cochrane | 0.47% |
don't know | 0.47% |
I don't know | 0.47% |
Multicrop Passport Descriptors | 0.47% |
ISATab | 0.47% |
I have no idea. | 0.47% |
financial | 0.47% |
FITS | 0.93% |
I keep notes so can refer back to the metadata in repository institutions. Not all have good records so I supplement in my notes. | 0.47% |
SISVAR | 0.47% |
IEC 61970 Common Information Model | 0.47% |
National scientific database standard | 0.47% |
Archiving to a pupblic repository | 0.47% |
Cif crystallographic information file, ris bibliographic references, and others | 0.47% |
Genomics Society Standards | 0.47% |
Metadata standardized across (model) user centers/institutions | 0.47% |
Mathematical graphs and numerical results | 0.47% |
Bankscope database | 0.47% |
JSON, CSV, HDF | 0.47% |
CF conventions for climate and forecast metadata | 0.47% |
IODP sample id's: https://www.iodp.org/resources/access-data-and-samples | 0.47% |
ASCII | 0.93% |
Publication in scientific or engineering journals | 0.47% |
Excel spreadsheets | 0.47% |
ascii | 0.47% |
Standard for the Exchange of Earthquake Data (SEED) | 0.47% |
I have no clue | 0.47% |
Data bases of various research units and PANGAEA | 0.47% |
international research program | 0.47% |
SEED | 0.93% |
seed for seismic data | 0.47% |
HDF | 1.87% |
SeaDataNet CDI | 0.47% |
CF Metadata Standard for NetCDF | 0.47% |
NASA AMES | 0.47% |
Metadata standardized within my research community (FDSN) | 0.47% |
INSPIRE compliant | 0.47% |
CEDAR/HDF | 0.47% |
CDF with ISTP metadata, SPASE metadata | 0.47% |
We have our own standards for the subdiscipline we work in | 0.47% |
SEED (Standard for Exchange of Earthquake Data) | 0.47% |
IAU/FITS World Coordinate System, Space Physcs Archive Search and Extract (SPASE) | 0.47% |
Our approach is that all meta data are simply characteristics of the data itself and are attributes of the appropriate database table (we use mysql) | 0.47% |
we have our own formats for time series data, easily read by FORTRAN or MATLAB, we write our own README files describing the data. | 0.47% |
ASDF, CDF, and HDF5 | 0.47% |
I use common practices within the USGS to accurately describe earthquake data | 0.47% |
NGDC | 0.47% |
I don't know. | 0.93% |
self-developed catagorical indexing procedures to provide maximum perspective | 0.47% |
ICARTT | 0.93% |
metadata standardized within my community | 0.47% |
seed, miniseed, segy | 0.47% |
CDF (not Net CDF) | 0.47% |
RINEX | 0.47% |
ACSII | 0.47% |
PDS | 0.47% |
SEGY and other seismic formats | 0.47% |
Seed | 0.47% |
CF (Climate and Forecast), ACDD (Attribute Conventions for Data Discovery) | 0.47% |
BCO-DMO | 0.47% |
ICARTT (and before that STEP); developed by NASA Earth Science Project Office, NASA Ames Research Center | 0.47% |
Metadata standardized within my global observational network | 0.47% |
ICARRT | 0.47% |
SPASE see spase-group.org | 0.47% |
PDS/PSA | 0.47% |
CF, ACDD | 0.93% |
BUFR | 0.93% |
Standard for Exchange of Earthquake Data (SEED) | 0.47% |
We often produce data in "bytemap" form as a space saving mechanism, and provide read routines to users in multiple languages. | 0.47% |
SEG-Y | 0.93% |
Use data and metadata formats of the Incorporated Research Institutions for Seismology (IRIS) Data Management System | 0.47% |
None required, but we lean towards WML | 0.47% |
.img | 0.47% |
Microsoft Excel | 0.47% |
NASA Planetary Data System | 0.93% |
PDS (Planetary Data System) | 0.47% |
internationally standardized metadata format specific to the dataset | 0.47% |
Too many to list in this small box | 0.47% |
IAU and IVOA standards | 0.47% |
FDSN standards for seismological data | 0.47% |
NetCDF Climate and Forecast Metadata Convention | 0.47% |
CMOR | 0.47% |
seismic data, SAC, SEED, etc | 0.47% |
CEDA-BADC | 0.47% |
CF | 0.93% |
Linked Paleo Data | 0.47% |
ICARTT, a NASA ASCII format and metadata standard | 0.47% |
hdf | 0.47% |
CF Conventions and Metadata | 0.47% |
CF Climate-Forecast | 0.47% |
ArcGIS | 0.47% |
I wish you had defined what "metadata standards" means. | 0.47% |
ICARTT data format with header info | 0.47% |
Planetary Data System | 0.47% |
peer-review publication, publicly available databases | 0.47% |
miniSEED | 0.47% |
INSPIRE | 0.47% |
custom metadata scheme of project data base | 0.47% |
FLUXNET | 0.47% |
WDC Geomagnetism, INTERMAGNET | 0.47% |
Image metadata to organise post-processed results | 0.47% |
netcdf CF conventions | 0.47% |
Unknown-- I am using the format for CUAHSI's Water Data Center | 0.47% |
http://cfconventions.org/, ERDDAP | 0.47% |
Planetary Data System (pvl, xml) | 0.47% |
Self-developed | 0.47% |
EarthRef MagIC format for Paleomagnetic Data | 0.47% |
Documentation on how data was used and how it was obtained and processed | 0.47% |
We have our own in our project. We are developing one to cater volcanic data in the world | 0.47% |
Geophysical earth and marine data | 0.47% |
HDF5 | 0.47% |
Standard established by my company | 0.47% |
Geographically labeled SEGY; IRIS/PASSCAL PH5 | 0.47% |
NASA Planetary Data System requirements. | 0.47% |
Metadata stadndardized by project leads | 0.47% |
GPS metadata | 0.47% |
IVOA (astronomy), VESPA (planetary sciences) and SPASE (space physics) metadata | 0.47% |
DataCite Metadata Schema | 0.47% |
Whatever the journal and the norms of my community require. | 0.47% |
Text file description and publication in scientific journlas | 0.47% |
COARDS | 0.47% |
Yucca Mountain, Basically NRC standards and ASME | 0.47% |
Not my problem - I provide it to a repository and they handle it. | 0.47% |
SPASE - a NASA standard | 0.47% |
hdf5, netCDF CF (Climate and Forecast) metadata, | 0.47% |
vdf | 0.47% |
in house standards | 0.47% |
CF Conventions | 0.47% |
Metadata standardized by coordinating international body | 0.47% |
In the past, we've matched our metadata to the requirements of the Carbon Dioxide Analysis and Information Center, and we're now watching how that evolves with the migration to OCADS | 0.47% |
Custom netCDF-like metadata using xArray (http://xarray.pydata.org/en/stable/) | 0.47% |
United States Army Corps of Engineers Data Item Descriptions (DIDs) and Engineering Manuals (EM 200-1-15) | 0.47% |
netCDF CMOR compliant | 0.47% |
Metadata standardized with the LTER network | 0.47% |
xml | 0.47% |
CDF | 0.47% |
domain-specific standards | 0.47% |
EQSim data format, with metadata in header | 0.47% |
SPASE | 0.93% |
NASA PDS | 0.93% |
Dont know | 0.47% |
hdf5 and/or sql dbms | 0.47% |
availability on-line and via FTP | 0.47% |
XML | 0.47% |
Not sure - go with AGU publication standards | 0.47% |
None at present, but we are about to set a strategy and think to use the above | 0.47% |
do not know | 0.47% |
MIMARKS | 0.47% |
Project specific, varies widely | 0.47% |
Metadata standards used in my field | 0.47% |
One research program (CSESP) defined its own Excel spreadsheet based metadata | 0.47% |
SAC | 0.47% |
discipline-community standard | 0.47% |
IPYDIS | 0.47% |
We are working with other international organizations currently to establish standards. | 0.47% |
FLATDBMS, MDSplus | 0.47% |
CF conventions | 0.47% |
NetCDF CF (extension beyond NetCDF) | 0.47% |
candis format | 0.47% |
I do not adhere to a specific standard | 0.47% |
pds | 0.47% |
CF, EO related metadata standards, GCMD | 0.47% |
ursi format | 0.47% |
WML | 0.47% |
FITS, SPASE | 0.47% |
اندازه نمونه | 2,184 |
حجم نمونه محاسبه شده توسط VoxDash | 214 |
نمونهگیری احتمالی | |
حاشیه خطا | ±3% |
حاشیه خطای قابل مقایسه | |
* محاسبه شده توسط VoxDash | |
تأمینکننده داده | |
پاسخدهنده | |
سن | 18 |
قاب نمونهبرداری | نمونهگیری غیر احتمالی |
انواع داده | United States of America |
پوششها | دیگر |
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