OSTrails FAIR Assessment - Conceptual Requirements

This document provides the set of rules, processes, and templates that help communities to create, in a transparent and reusable manner, the conceptual components of the FAIR assistance/assessment framework. It establishes a systematic process through which community representatives can articulate how each FAIR Principle should be interpreted within their disciplinary and digital object context, and how those interpretations should be operationalised in assessment. The creation of a FAIR benchmark requires not only detailed knowledge of a community’s (meta)data structures, but also a transparent and accountable interpretation of how the FAIR Principles are defined, implemented, and tested. While communities typically possess strong expertise in their own data structures, the formalisation of FAIR requirements in a consistent and reusable manner can be challenging. By capturing narrative requirements in a standardised format, the framework enables clarity in how FAIR claims are defined, measured, and evaluated. It promotes transparency in FAIR assessment behaviour, facilitates reuse and comparability of metrics across communities, and strengthens accountability in the interpretation of FAIR principles. The resulting document serves as a foundation for creating the conceptual components of an Assessment Interoperability Framework (e.g., benchmarks and associated metrics), supporting consistent and transparent FAIR assessment and assistance services.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-04
DOI
https://doi.org/10.5281/zenodo.18488022
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OSTrails FAIR Assessment - Conceptual Requirements

John Shepherdson, Allyson Lister
Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

OSTrails FAIR Assessment - Conceptual Requirements

John Shepherdson, Allyson Lister
article en

Abstract

This document provides the set of rules, processes, and templates that help communities to create, in a transparent and reusable manner, the conceptual components of the FAIR assistance/assessment framework. It establishes a systematic process through which community representatives can articulate how each FAIR Principle should be interpreted within their disciplinary and digital object context, and how those interpretations should be operationalised in assessment. The creation of a FAIR benchmark requires not only detailed knowledge of a community’s (meta)data structures, but also a transparent and accountable interpretation of how the FAIR Principles are defined, implemented, and tested. While communities typically possess strong expertise in their own data structures, the formalisation of FAIR requirements in a consistent and reusable manner can be challenging. By capturing narrative requirements in a standardised format, the framework enables clarity in how FAIR claims are defined, measured, and evaluated. It promotes transparency in FAIR assessment behaviour, facilitates reuse and comparability of metrics across communities, and strengthens accountability in the interpretation of FAIR principles. The resulting document serves as a foundation for creating the conceptual components of an Assessment Interoperability Framework (e.g., benchmarks and associated metrics), supporting consistent and transparent FAIR assessment and assistance services.

Zenodo (CERN European Organization for Nuclear Research)
University of Oxford (GB), Consortium of European Social Science Data Archives (NO)
Openalex Percentile: Top 77%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

OSTrails FAIR Assessment - Conceptual Requirements — John Shepherdson, Allyson Lister · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS