Approaches for the Assessment of Data Fitness for Use (Remote Access Instructions)
Collaborative session notes:
Short introduction describing the scope of the group and if any previous activities
The increasing availability of research data and its evolving role as a first class scientific output in the scholarly communication requires a better understanding of and the possibility to assess data quality, which in turn can be described as conformance of data properties to data usability or fitness for use. These properties are multifaceted and cover various aspects related to data objects, access services, and data management processes such as the level of annotation, curation, peer review, and citability or machine readability of datasets. Moreover, the compliance of a data repository or data center providing datasets - for example with certification requirements - could serve as a useful proxy. Firstly, a concept of data fitness requires assessment of quality criteria to be included as well as the weighing of each of those criteria. The process should preferably lead to the development of a corresponding metric. Secondly, we want to find effective ways to expose and communicate this metric, for e.g. by using a labelling or tagging system whereby different usability levels are made explicit.
Additional links to informative material related to the group
Group page: https://www.rd-alliance.org/groups/assessment-data-fitness-use
CoreTrustSeal page: https://www.coretrustseal.org/
A design framework and exemplar metrics for FAIRness: https://www.biorxiv.org/content/early/2017/12/01/225490
Enablin FAIR Data: https://eos.org/editors-vox/enabling-findable-accessible-interoperable-a...
Through several presentations and a discussion including a wider audience, we aim to establish the best possible approaches for the assessment of data fitness for use. Objectives are:
- To inform about the various possible approaches for the assessment of data fitness for use.
- To compare and evaluate possible approaches with respect to later adoption and application by the different stakeholders, namely data repositories, science publishers, and data users.
The session will be introduced with an overview on the progress of the group, in particular presenting the consolidated list of criteria characterizing fitness for use. The following presentations will outline various approaches for the evaluation of fitness for use of individual data sets. We will end with a discussion on the different possibilities for governance.
Presentations (60 min)
- Data Fitness for Use as part of the CoreTrustSeal: Mustapha Mokrane – Chair of the CoreTrustSeal Board
- Assessing FAIRness within the Enabling FAIR Data project: Shelley Stall - Director of the AGU Data Program
- A design framework and exemplar metrics for FAIRness: Peter Doorn – Director of Data Archiving and Networked Services (DANS)
- Proposed criteria Data Fitness for Use WG: Michael Diepenbroek – Co-Chair of the Data Fitness for Use WG
Discussion on governance (30 minutes)
Members of the WG as well as other interested stakeholders: data repositories, science publishers, research funders, and researchers interested in the topic
Group chair serving as contact person: Michael Diepenbroek
Type of meeting: Informative meeting
Group maturity: 12-18 months
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