Data Provenance Standards and Recommendations for FAIR Data

This article reviews the main characteristics of five widely used data provenance models and recommendations. We suggest a set of six provenance properties that should be satisfied by any provenance model as a basis for further implementation of provenance mechanisms, supporting the findable, accessible, interoperable and reusable (FAIR) principles for both, research and health data.

Related Organizations

Hannover Medical School
Germany

Keywords

Databases, Factual

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	5
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%