Autor: |
Jürgen, Stausberg, Sonja, Harkener, Ekkehart, Jenetzky, Patrick, Jersch, David, Martin, Rüdiger, Rupp, Martin, Schönthaler |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Studies in health technology and informatics. 289 |
ISSN: |
1879-8365 |
Popis: |
The FAIR Guiding Principles do not address the quality of data and metadata. Therefore, data collections could be FAIR but useless. In a funding initiative of registries for health services research, trueness of data received special attention. Completeness in the definition of recall was selected to represent this dimension in a cross-registry benchmarking. The first analyses of completeness revealed a diversity of its implementation. No registry was able to present results exactly as requested in a guideline on data quality. Two registries switched to a source data verification as alternative, the three others downsized to the dimension integrity. The experiences underline that the achievement of appropriate data quality is a matter of costs and resources, whereas the current Guiding Principles quote for a transparent culture regarding data and metadata. We propose the extension to FAIR-Q, data collections should not only be findable, accessible, interoperable, and reusable, but also quality assured. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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