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.

AgroPortal is an ontology repository (more generally a semantic artefact catalogue) for the agri-food domain which features ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web.

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

Chowlk Converter is a web application that takes as input an ontology conceptualization made with diagrams.net and generates its implementation in OWL.

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.

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.

This model assess dataset maturity using indicators based on the FAIR principles

A paper based self assessment tool to measure the FAIR-ness of an organization

EcoPortal is a repository for semantic artefacts that pertain to Ecology and Biodiversity. It hosts relevant ontologies and controlled vocabularies together with their metadata and it offers a suite of tools to discover, publish or utilise them.

F-UJI is a service based on REST, originally developed within the FAIRsFAIR project, piloting a programmatic assessment of the FAIRness of research datasets in five trustworthy data repositories.

The F2DS is a unifying data space that is built by aggregating and enriching datasets from a set of multidisciplinary repositories, i.e. data sources, with the aim to facilitate data discovery and reuse. Although datasets are the primary focus of the resulting data space, other items are managed, including repositories and data sources, APIs, metadata schemas and ontologies

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.

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

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

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.

The FAIR-Aware tool provides practical information and resources to (further) develop skills for FAIR data and is meant to incentivise researchers to make their data FAIR. This tool can be used both as a teaching tool and as a resource for researchers and data stewards.

A methodology for FAIR-by-design production of learning materials based on the backward instructional process that is extended with additional activities focusing on the implementation of the FAIR guiding principles.

This checklist helps policy-makers to assess whether elements of their data policies are FAIR-enabling as well as providing recommendations on what should be addressed in policies.

The Repository Finder is a searchable registry of repositories with embedded content and metadata.

The tool is used to connect the health data sources which can be in various formats (Excel files, CSV files, SQL databases) and migrate data into a HL7 FHIR Repository.

This is a standalone, desktop application developed by the FAIR4Health project. The tool aims to handle the privacy challenges exposed by the sensitive health data.

The FAIRassist tool, part of the FAIRsharing resource offers personalised guidance to discover resources such as data & metadata standards.

The FIP Wizard is a toolset that facilitates the capture of data in the FAIR Convergence Matrix questionnaire, declaring a FAIR Implementation Profile. It is used for the evaluation of the implementation status of FAIR data practices.

FOOPS! is a tool for assessing FAIRness level for ontologies.  It is a web application that can be used for ontologies developed from many domains. 

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

The GLobal Ocean Data Analysis Project (GLODAP) initiated in 2004 and subsequently updated, has been instrumental in delivering carbon-relevant interior ocean data that support well-quantified estimates of the ocean carbon sink.

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 online tool allows data centre and data repository managers to assess the compliance of their web services or digital object with respect to the IVOA standards.

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.

Linked Open Vocabularies (LOV) is an ontology search and reuse tool designed to help publishers and users of linked data and vocabularies to assess what is available and facilitate reuse.

The Life Science Log in enables researchers to use their home organization credentials or community or commercial identities (Orcid/Linkedin) to sign in and access data and services they need across multiple platforms.

O'FAIRe (Ontology FAIRness Evaluator) is a metadata-based automatic FAIRness assessment methodology for ontologies and semantic artefacts.

OGC RAINBOW is a Web accessible source of information about things (“Concepts”) the OGC defines or that communities ask the OGC to host on their behalf. It applies FAIR principles to the key concepts that underpin interoperability in systems using OGC specifications.

The OntoPortal technology allows anyone to set up a semantic artefact catalogue for a domain/project of interest.

OntOlogy Pitfall Scanner! is a web application for ontology evaluation. Some of the aspects validated in OOPS! overlap with FAIRness evaluation criteria for ontologies.

Open Science Communities (OSC) are places where researchers make their Open and FAIR practices visible and accessible to their peers, e.g. by organising workshop, focus groups, symposia and other forms of peer-to-peer knowledge exchange. 

RePol helps in defining and maintaining comprehensive and clear repository and privacy policies in line with the FAIR and Open principles. RePol uses a step-by-step wizard and self-explanatory forms to guide the process.

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.

Guided compliance self-assessment for legal and ethics EOSC Rules of Participation.

VocBench is a web-based, multilingual, collaborative development platform for managing and sharing reference data, controlled lists of codes and terms, thesauri and ontologies, used to organise information

Widoco is an ontology documentation tool that allows users to publish and create a customized documentation for an ontology automatically by following a series of steps in a GUI.

WORCS is a workflow for open reproducible code in science.