December 2020 The CODATA Constitution is the set of statues and by-laws that govern the structure and work of CODATA. It is regularly reviewed and updated to ensure it is fit for purpose. The current version of the CODATA Constitution was approved by the CODATA...
CODATA is the Committee on Data of the International Science Council (ISC). CODATA exists to promote global collaboration to improve the availability and usability of data for all areas of research. CODATA supports the principle that data produced by research and...
CODATA’s vision is of a world in which science is empowered to address universal challenges through the transparent, trustworthy and equitable use of data and information. CODATA’s mission is to connect data and people to advance science and improve our world. The...
Hosted by the Government of Uganda through the Ministry of Science, Technology and Innovation, Supported by the European Commission and African Union Commission, IEEE Africa Council, IEEE Uganda Section, IST-Africa Week 2020 (Kampala, Uganda, May) is the fifteenth in...
Title: Reviving an Old and Valuable Collection of Microscope Slides Through the Use of Citizen Science Author: John Pring, Lesley Wyborn, Neal Evans URL: http://doi.org/10.5334/dsj-2019-057 Title: Efficient Stratified Sampling Graphing Method for Mass Data...
Schloss Dagstuhl Event 19413 A week-long workshop was held on the subject of standards in cross-domain data use for science, health, and social science at Schloss Dagstuhl - the Leibniz Center for Informatics in Wadern, Germany, 6-11 October 2019. The meeting was...
Please watch - CODATA/RDA Summer School 2018-2019 Interviews: Read more about CODATA-RDA School of Research Data Science
Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require data[1] to be FAIR (Findable, Accessible, Interoperable, and Reusable)...
Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require data[1] to be FAIR (Findable, Accessible, Interoperable, and Reusable)...