Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: How FAIR can you get? Image Retrieval as a Use Case to calculate FAIR
  Metrics   A large number of services for research data management strive to adhere to
the FAIR guiding principles for scientific data management and stewardship. To
evaluate these services and to indicate possible improvements, use-case-centric
metrics are needed as an addendum to existing metric frameworks. The retrieval
of spatially and temporally annotated images can exemplify such a use case. The
prototypical implementation indicates that currently no research data
repository achieves the full score. 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 images. These and other
insights can lead to an improvement of data integration workflows, resulting in
a better and more FAIR approach to manage research data.

19
The categories of this paper are: eess
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph