How FAIR can you get? Image Retrieval as a Use Case to calculate FAIR Metrics

摘要

Many providers of research data services officially embrace the FAIR guiding principles for scientific data management and stewardship. To assess the compliance of their services to these principles and to indicate possible improvements, use-case-centric metrics are needed as an addendum to existing approaches. The retrieval of spatially and temporally annotated images can exemplify such a use case. A prototypical benchmark based on that use case indicates that currently no research data repository achieves the full score according to the proposed metric. Suggestions on how to increase the score include automatic annotation based on the metadata inside the image file and support for content negotiation to retrieve the research data. This can lead to an improvement of data integration workflows, resulting in a better and more FAIR approach to manage research data.