MENU
About
CODATA’s Mission
Message from President Mercè Crosas
CODATA Constitution
Officers and Executive Committee
Secretariat
News
Contact
CODATA Policies and Guidelines
Communications
CODATA Archive
Membership
Member Login
Membership: National Members
Australia
Austria
Botswana
Canada
China
Finland
India
Israel
Japan
Kenya
Korea
Mongolia
New Zealand
Russian Federation
South Africa
Taipei, Academy of Sciences
Ukraine
United Kingdom
United States of America
Membership: International Science Council (ISC) Bodies
Membership: Institutional Members
Baohe Data
CNGB
CNIC
Springer Nature
Partner Organisations
BIPM
DDI
IIASA
ICSTI
RDA
WFCC
Events
General Assembly
General Assembly 2023
General Assembly 2021
CODATA Virtual General Assembly December 2020
CODATA Virtual General Assembly June 2020
General Assembly 2018
CODATA General Assembly 2016
General Assembly 2014
Conferences
International Data Week 2027, Cape Town, South Africa
International Data Week 2025, Brisbane, Australia
International Data Week 2023, Salzburg, Austria
FAIR Convergence Symposium 2022, Leiden, Netherlands
International Data Week 2022, Seoul, Republic of Korea
Virtual SciDataCon 2021
International FAIR Convergence Symposium 2020
VizAfrica Botswana 2019
CODATA 2019 Beijing: Towards next-generation data-driven science: policies, practices and platforms
CODATA-Helsinki 2019 Workshop on FAIR RDM in Institutions
Drexel-CODATA FAIR-RRDM Workshop 2019, 31 March-1 April: Call for Papers – Registration
International Data Week 2018
Göttingen-CODATA RDM Symposium 2018
CODATA 2017 – Saint Petersburg
International Data Week 2016
SciDataCon 2016
SciDataCon 2014
CODATA 23 – Taipei 2012
CODATA 22 – Cape Town 2010
CODATA 21 – Kyiv 2008
CODATA 20 – Beijing 2006
CODATA 19 – Berlin 2004
CODATA 18 – Montreal 2002
CODATA 17 – Baveno 2000
Science and Policy Workshops
Towards a FAIRer World
CODATA and CODATA China High-level International Meeting on Open Research Data Policy and Practice
Big Data for International Science, Beijing, June 2014
Workshop on Open Data for Science and Sustainability in Developing Countries
Training Workshops
Beijing 2019 – Scientific Big Data and Machine Learning
CODATA International Training Workshop in Open Data for Better Science, Beijing, July 2017
International Training Workshop in Big Data for Science, Beijing, July 2016
Training Workshop on Big Data, Jakarta, Indonesia, September 2015
ISI CODATA International Training Workshop on Big Data, Bangalore, India, 9-20 March 2015
Training Workshop on Open Data, Nairobi, August 2014
International Training Workshop for Developing Countries on Big Data for Science, Beijing, June 2014
CODATA Prize
2016: David R. Lide, USA
2014: Sydney R. Hall, IUCr
2012: Michael F. Goodchild, USA
2010: Paul Uhlir, USA
2008: LIU Chuang, China
2006: John Rumble, USA
2004: Jean Bonnin, France
2000: Barry Taylor, USA
Webinars
Initiatives
Making Data Work for Cross-Domain Grand Challenges: the CODATA Decadal Programme
WorldFAIR
DDI-Cross Domain Integration (DDI-CDI)
FAIR Vocabularies
Provenance
Resilient Cities
Infectious Diseases
CODATA/DDI Alliance Dagstuhl Workshops
Global Open Science Cloud
Data Policy
International Data Policy Committee
UNESCO Open Science Recommendation
NEWORLD@A Project
Data Science and Stewardship
Fundamental Physical Constants
RDM Terminology WG
Data Skills
CODATA Connect – Early Career and Alumni Network
CODATA-RDA Schools of Research Data Science
CODATA-DDI Training Webinars
terms4FAIRskills FAIR Data Stewardship Terminology
Task Groups
Advancing Data Science for Sustainability
CODATA-WDS TG on Citizen-generated data for the SDGs
Data driven social change towards society promoting cognitively healthy aging
Data Ethics
Data Systems, Tools, and Services for Crisis Situations
Digital Representation of Units of Measurement (DRUM)
FAIR Data for Disaster Risk Research
Geographical Indications Environment and Sustainability
Previous CODATA Task Groups
Working Groups
Integrity WG
Research
Data Together
Publications
CODATA Achievements
Data Science Journal
CODATA History
Blog
Select Page
Data catalogue
A curated collection of metadata about datasets and their data elements.
