| Autor: |
Michaelis, Lea, Poyraz, Rasim Atakan, Muzoora, Michael Rusongoza, Gierend, Kerstin, Bartschke, Alexander, Waltemath, Dagmar, Thun, Sylvia |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International SWAT4HCLS Conference |
| Popis: |
The FAIR guiding principles for data stewardship are a set of recommendations for making research objects findable, accessible, interoperable and reusable. FAIR assessment tools implement measures for these principles and thus enable research networks to evaluate how good they comply with current standards in open and reproducible science. Based on questions from two different FAIR assessment tools, we built a tailor-made survey for the FAIR evaluation of projects within the German Network University Medicine (NUM). Established at the start of the Covid-19 pandemic outbreak, NUM addressed the need to collect and integrate Covid-19 data across German University Hospitals. Technical developments aimed to follow, among others, the FAIR principles. Interested in the actual status of FAIRness, we conducted an online survey in 2022 across German Network University Medicine projects. The goal was to identify positive examples of FAIR data in the German Network University Medicine thus to motivate other projects to take similar routes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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