Towards making fusion data FAIR
Paper in proceeding, 2021
The concept of FAIR data is being increasingly adopted at national and global levels as a way of maximising the impact and transparency of publicly-funded research outcomes and data. In this paper we introduce the FAIR requirements of the Fusion community as well as technological directions proposed by the Fair4Fusion project aiming at increasing the accessibility to fusion data.
FAIR
Open data
Nuclear fusion
Author
D. Coster
Max Planck Society
Shaun De Witt
Culham Science Centre
Iraklis Klampanos
National Center for Scientific Research “Demokritos”
M. Plociennik
Poznanskie Centrum Superkomputerowo Sieciowe
Andreas Ikonomopoulos
National Center for Scientific Research “Demokritos”
F. Imbeaux
The French Alternative Energies and Atomic Energy Commission (CEA)
Nathan Cummings
Culham Science Centre
M. Owsiak
Poznanskie Centrum Superkomputerowo Sieciowe
Agata Filipczak
Poznanskie Centrum Superkomputerowo Sieciowe
Bartosz Bosak
Poznanskie Centrum Superkomputerowo Sieciowe
Stasinos Konstantopoulos
National Center for Scientific Research “Demokritos”
Pär Strand
Chalmers, Space, Earth and Environment, Astronomy and Plasmaphysics
Proceedings - IEEE 17th International Conference on eScience, eScience 2021
233-234
9781665403610 (ISBN)
17th IEEE International Conference on eScience, eScience 2021
Virtual, Online, Austria,
Virtual, Online, Austria,
Fair for Fusion - open access for fusion data in Europe (Fair4Fusion)
European Commission (EC) (EC/H2020/847612), 2019-09-01 -- 2021-08-31.
Subject Categories
Economic Geography
Environmental Analysis and Construction Information Technology
Communication Studies
DOI
10.1109/eScience51609.2021.00037