Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/eScience51609.2021.00037 | 2021 IEEE 17th International Conference on eScience (eScience) |
Keywords | DocType | ISBN |
nuclear fusion,FAIR,open data | Conference | 978-1-6654-0361-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Coster | 1 | 18 | 4.77 |
| Shaun de Witt | 2 | 0 | 0.34 |
| Iraklis Klampanos | 3 | 0 | 0.34 |
| Marcin Płóciennik | 4 | 25 | 4.17 |
| Andreas Ikonomopoulos | 5 | 0 | 0.34 |
| Frederic Imbeaux | 6 | 18 | 3.53 |
| Nathan Cummings | 7 | 0 | 0.34 |
| Michał Owsiak | 8 | 25 | 6.07 |
| Agata Filipczak | 9 | 0 | 0.34 |
| Bartosz Bosak | 10 | 0 | 0.34 |
| Stasinos Konstantopoulos | 11 | 178 | 28.61 |
| Pär Strand | 12 | 0 | 0.34 |