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.

Open data

Nuclear fusion

FAIR

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,

Fair for Fusion - open access for fusion data in Europe (Fair4Fusion)

European Commission (EC) (EU847612), 2019-09-01 -- 2021-08-31.

Subject Categories

Economic Geography

Environmental Analysis and Construction Information Technology

Communication Studies

DOI

10.1109/eScience51609.2021.00037

More information

Latest update

12/30/2021