Guidelines, methodologies and practice documents

The ACME-FAIR is to help those managing and delivering relevant professional services to self-assess how they are enabling researchers and their colleagues to do just that.

This is a teaching and training handbook for higher education institutions to help universities to apply the competence framework to their specific situation and needs.

The FAIR Cookbook contains defined recipes for FAIRifying datasets, as well as more general topic guidance.

FAIR Connect is an Open Access publishing platform for the development and dissemination of good practices for professional FAIR-Data stewardship.

The CoreTrustSeal + FAIRenabling Capability Maturity Model was designed so that repositories can self assess their trustworthiness and FAIR enabling status simultaneously, with a view to developing and improving their practice.

The FAIRsFAIR service assessment framework helps users self-assess how well their research data infrastructure services support FAIR data.

A method to expose machine-actionable navigation links that indicate downloadable resources, types and attribution – particularly for scholarly and institutional repositories which use persistent identifiers like DOIs.

RO-Crate has been established as a community effort to practically achieve FAIR packaging of research objects (digital objects like data, methods, software, etc.) with their structured metadata.

Best practices for implementing FAIR vocabularies and ontologies on the web is a set of guidelines for ontology/vocabulary development and publishing.

The I-ADOPT Interoperability Framework is a set of guidelines based on a simple non-domain specific ontology that supports the decomposition of complex observable properties into their essential atomic parts represented through the concepts in FAIR terminologies.

The License Clearance Tool provides technical solutions to address legal aspects in FAIR and ORDM. It addresses the complexity of legal interoperability in scenarios where available IPR options need to be examined for derivative works.

This policy framework proposed a set of 21 elements to consider when formulating data policy for research infrastructures, especially in the photon and neutron (PaN) domain. Although the framework was produced specifically in the PaN context, it is sufficiently general that it is likely to be of value in other fields.