1. WDS/RDA Assessment of Data Fitness for Use Claire Austin, Helena Cousijn, Michael Diepenbroek, Jon Petters

2. Deliverables Data Fitness group
Descriptions and definitions of data fitness criteria
Development of a fitness for use label based on defined criteria
Piloting the implementation of a fitness for use label

3. Definitions
Draft definitions available here: 1GmVIenQ6Mp0chs/edit
E.g. Data quality is defined by internal characteristics such as completeness, logical consistency, positional and thematic accuracy, temporal quality, etc. RELATED TERM: data fitness for purpose
In collaboration with:
Next steps: subgroup will write paper outlining relevant terminology

4. Fitness criteria
Mapping of criteria ( R4lCCiaY2bQdQCs/)
FAIR
ESIP quality cluster
GEO quality criteria
3 perspectives
Data depositors
Data repositories
Data users
Checklist/questionnaire for depositors and repositories > ‘label’ for users

5. Assessing fitness
FAIR assessment tool

6. F A I R Assessing fitness FAIR assessment tool pilot DANS CCDC DRYAD
Mendeley Data
Virginia Tech
11am, Mansfield 5!
F A I R
2 User Reviews
1 Archivist Assessment
24 Downloads

7. Questions
Could datasets become part of the CoreTrustSeal?
Would assessing Data Fitness become dependent on repository certification?
Do we need to go beyond FAIR to assess Data Fitness?