International FAIR Convergence Symposium and CODATA General Assembly, 22-24 October 2020 Please save the date for the International FAIR Convergence Symposium convened by CODATA and GO FAIR on October 22-23 2020; followed by the CODATA General Assembly, 24 October...

Title: The Norwegian National Ground Segment; Preservation, Distribution and Exploitation of Sentinel Data Author: Trygve Halsne, Lara Ferrighi, Bard Saadatnejad, Nico Budewitz, Frode Dinessen, Lars-Anders Breivik, Øystein Godøy...

UNDRR SRSG Mami Mizutori speaks in AucklandThe Special Representative of the United Nations Secretary-General (SRSG) for Disaster Risk Reduction and the head of the United Nations Office for Disaster Risk Reduction, Mami Mizutori, recently spoke on resiliency and...

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)...

The field of research data and associated services is in a rapid - and epoch-making - phase transition from a data sparse to a data-overloaded ecosystem. Many national and international efforts are underway to try and deal with the enormous challenges posed by...