Dataset Open Access
Stocktaking GO FAIR Discovery IN - Use cases, infrastructure
Mathiak, Brigitte;
Juty, Nick;
Heger, Tina;
Di Donato, Francesca;
Jeschke, Jonathan;
Widmann, Heinrich;
Flügel, Anna-Lena;
Culina, Antica;
Bardi, Alessia;
Kraker, Peter
In order to build a better ecosystem for data discovery tools the Data Discovery Implementation Group of GO Fair (https://www.go-fair.org/implementation-networks/overview/discovery) collected use cases between 2019 and 2020 from a variety of sources. We also detail the ‘Actors’ for these use cases and the ‘Source’ providing links, whenever possible. Since we found over a hundred individual use cases, we decided to cluster them to provide a better overview. The clustering, as well as the results of a small survey among data infrastructure specialists to find how they rate the importance of the clusters are detailed in the documentation to this dataset, a draft of which can currently be found here.
| Name | Size | |
|---|---|---|
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Stocktaking GO FAIR Discovery IN - Use cases, infrastructure .csv
md5:304f31d8cdfca2d0b6f21ad7244e01e8 |
52.3 kB | Download |
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Stocktaking GO FAIR Discovery IN - Use cases, infrastructure .xlsx
md5:956c9687a7e7535d54de5ed779647bfd |
38.2 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 722 | 517 |
| Downloads | 321 | 283 |
| Data volume | 20.1 MB | 14.5 MB |
| Unique views | 531 | 403 |
| Unique downloads | 260 | 237 |
- Publication date:
- June 21, 2021
- DOI:
-
- Keyword(s):
- research data, data discovery
- Grants:
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European Commission:
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OpenAIRE-Advance - OpenAIRE Advancing Open Scholarship (777541)
- TRIPLE - Transforming Research through Innovative Practices for Linked interdisciplinary Exploration (863420)
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OpenAIRE-Advance - OpenAIRE Advancing Open Scholarship (777541)
- License (for files):
- Creative Commons Attribution 4.0 International