Name
Title | ||
|---|---|---|
Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud. |
Abstract | ||
|---|---|---|
The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of behaviours that researchers should expect from contemporary data resources, how the FAIR principles should manifest in reality was largely open to interpretation. As support for the Principles has spread, so has the breadth of these interpretations. In observing this creeping spread of interpretation, several of the original authors felt it was now appropriate to revisit the Principles, to clarify both what FAIRness is, and is not. |
Year | Venue | Field |
|---|---|---|
2017 | Inf. Services and Use | Data integration,Interoperability,Data resources,Computer science,Guiding Principles,Open science,Management science,Cloud computing |
DocType | Volume | Issue |
Journal | 37 | 1 |
Citations | PageRank | References |
5 | 0.78 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barend Mons | 1 | 430 | 33.31 |
| Cameron Neylon | 2 | 20 | 5.23 |
| Jan Velterop | 3 | 10 | 3.23 |
| Michel Dumontier | 4 | 898 | 93.35 |
| Luiz Olavo Bonino_da_ Silva Santos | 5 | 81 | 9.78 |
| Mark D Wilkinson | 6 | 759 | 75.21 |