Assessment of Data Fitness for Use Working Group Wrap-up (Remote Access Instructions)
Meeting room: Okavango 2
Collaborative session notes
Short introduction describing the activities and the scope of the group
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. Data quality can be described as conformance of data properties to data usability or fitness for use. These multiple properties cover 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.
The compliance of a data repository or data center providing datasets - for example with certification requirements - could serve as a useful proxy for data fitness for use. Defining data fitness requires weighted criteria for assessment of quality. 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
Group Google Drive Folder - https://drive.google.com/drive/folders/0B4qnUFYMgSc-UVdiRWRXOEFsUUE?usp=...
CoreTrustSeal page: https://www.coretrustseal.org/
GO FAIR metrics (including the FAIR data principles) : https://www.go-fair.org/technology/go-fair-metrics/
This working group will wrap up its efforts prior to RDA12 and expect to have our outputs available for public comment sometime this year. As such we will inform the audience on the findings of our efforts and our working group deliverables. These contributions include independent development of criteria for evaluating data fitness for use, comparison of these criteria to other sets of evaluation criteria, and a checklist to be used by repositories in evaluating a sample of their data holdings for fitness of use.
Along with describing our group’s contributions to evaluation of data fitness for use, we will outline the parameter space and other perspectives in addressing data fitness for use through a set of presentations. Further, together with the participants we will discuss possible paths for continuing this work and especially seek to hear the perspective of African research entities on data fitness for use.
The session will be introduced with an overview on the findings and deliverables of the working group. Following presentations will outline other approaches and perspectives for the evaluation of data fitness for use. We will then open up the floor for discussion (likely with many new attendees)
Presentations (60 min)
- Introduction, findings and deliverables of the Data Fitness for Use WG: Jonathan Petters and Marina Soares e Silva– Co-Chairs of the Data Fitness for Use WG
- Automating Evaluation of Data FAIR-ness from a Data Provider Perspective – Luiz Bonino, GO FAIR (invited and they have accepted)
- Evaluation of Data FAIR-ness from a Prospective Data User Perspective - Wade Bishop, University of Tennessee (invited and they have accepted)
- African Research Entity Perspective (Martie van Deventer, other previous IDW attendees, Scientific African Editorial Board)
Please specify who is your target audience and how they should prepare for the meeting
Members of the WG as well as other interested stakeholders: data repositories, science publishers, research funders, and researchers interested in the topic. We will make our deliverables available for viewing and consideration prior to the meeting, and attendees would be well served in reviewing our RDA working group page. We especially seek to hear the perspective of African research entities on data fitness for use.
Group chair serving as contact person
Marina Soares e Silva
Type of meeting
Remote Access Instructions:
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