Exemplary elements of data-fitness for FAIRness measurement templates

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Authors: Mahdi Hedayat Mahmoudi, Markus Möller
Cited by: 0

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