Towards making fusion data FAIR
Paper i 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

Nuclear fusion

Open data

Författare

D. Coster

Max-Planck-Gesellschaft

Shaun De Witt

Culham Science Centre

Iraklis Klampanos

Demokritos National Centre for Scientific Research

M. Plociennik

Poznanskie Centrum Superkomputerowo Sieciowe

Andreas Ikonomopoulos

Demokritos National Centre for Scientific Research

F. Imbeaux

Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (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

Demokritos National Centre for Scientific Research

Pär Strand

Chalmers, Rymd-, geo- och miljövetenskap, Astronomi och plasmafysik

Proceedings - IEEE 17th International Conference on eScience, eScience 2021

233-234

17th IEEE International Conference on eScience, eScience 2021
Virtual, Online, Austria,

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

Europeiska kommissionen (EU) (EU847612), 2019-09-01 -- 2021-08-31.

Ämneskategorier

Ekonomisk geografi

Miljöanalys och bygginformationsteknik

Kommunikationsvetenskap

DOI

10.1109/eScience51609.2021.00037

Mer information

Senast uppdaterat

2021-11-24