Exemplary elements of data-fitness for FAIRness measurement templates
Abstract
This report (FAIRagro Milestone M3.3.3) defines exemplary data-fitness elements that can be reused to build FAIRness measurement templates, with “data fitness” understood as how well data meet the needs of a specific scientific/analytical use case. It proposes a reusable, explicitly non-operational method that bridges (1) producer-side, standards-based data quality concepts grounded in ISO 19157 and (2) user-side, fitness-for-purpose requirements extracted from domain literature. The result is an integrated, machine-readable conceptual framework (illustrated via a digital soil mapping use case) intended to support subsequent FAIRagro work on operationalization, community refinement, and implementation of application-specific data quality queries, without prescribing metrics or running assessments itself.
Fields of Study & Subjects
Research Data Management Practices
Data Quality and Management
Scientific Computing and Data Management
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN