Implementation & Adoption Stories

The FAIR-IMPACT Implementation stories illustrate good practices in research communities and organisations to support the implementation of the FAIR principles.

Implementation Story
Developing a PID Roadmap for the European Holocaust Research Infrastructure (EHRI)
Developing a PID Roadmap for the European Holocaust Research Infrastructure (EHRI)
The persistent identification of research outputs is part of good research data management practice and is central to the FAIR Principles and the vision of the European Open Science Cloud (EOSC). There are many types of persistent identifiers (PIDs) currently being used to identify data and other kinds of research outputs but also different actors involved in the creation of outputs and the organisations that employ them or fund their work. To foster harmonisation on the use of different persistent identifiers, there is a need to define and implement research data and/or PID policies. FAIR-IMPACT’s Creating EOSC compliant Persistent Identifier (PID) policies support action.
Implementation Story
INFRA-ART Spectral Library
Improving the findability, interoperability, and trustworthiness of the INFRA-ART Spectral Library – a dedicated data service for the heritage science domain

FAIR-enabling and trustworthy data repositories play a central role in making and keeping data FAIR over time. While there is ongoing debate on what constitutes trustworthiness, there is broad agreement that transparency and evidence is essential to enable end users to make informed decisions about the repository services they use. In this support action successful applicants will have the opportunity to test a prototype developed by FAIR-IMPACT to expose relevant metadata at the organisational and object level.

Implementation Story
Implementing a FAIRenabling data repository attributes prototype in KU Leuven RDR
Implementing a FAIRenabling data repository attributes prototype in KU Leuven RDR

FAIR-enabling and trustworthy data repositories play a central role in making and keeping data FAIR over time. While there is ongoing debate on what constitutes trustworthiness, there is broad agreement that transparency
and evidence is essential to enable end users to make informed decisions about the repository services they use.
In this support action successful applicants will have the opportunity to test a prototype developed by FAIR-IMPACT to expose relevant metadata at the organisational and object level. Participants will also have the opportunity

Implementation Story
FAIR and trustworthy
FAIR and trustworthy: Advancing metadata transparency at IsoArcH
FAIR-enabling and trustworthy data repositories play a central role in making and keeping data FAIR over time. While there is ongoing debate on what constitutes trustworthiness, there is broad agreement that transparency and evidence is essential to enable end users to make informed decisions about the repository services they use. In this support action, successful applicants will have the opportunity to test a prototype developed by FAIRIMPACT to expose relevant metadata at the organizational and object level.
Implementation Story
Turning trustworthy and FAIR-enabling e-cienciaDatos
Turning trustworthy and FAIR-enabling e-cienciaDatos, the data repository of the Consorcio Madroño

FAIR-enabling and trustworthy data repositories play a central role in making and keeping data FAIR over time. While there is ongoing debate on what  constitutes trustworthiness, there is broad agreement that transparency and evidence is essential to enable end users to make informed decisions about the repository services they use.


Implementation Story
Increasing trustworthiness of the Austrian NeuroCloud
Increasing trustworthiness of the Austrian NeuroCloud by providing repository-level metadata based on the FAIR impact prototype

FAIR-enabling and trustworthy data repositories play a central role in making and keeping data AIR over time. While there is ongoing debate on what constitutes trustworthiness, there is broad greement that transparency and evidence is essential to enable end users to make informed decisions about the repository services they use.


Implementation Story
FAIR-enabling and trustworthy data repositories play a central role in making and keeping data FAIR over time. While there is ongoing debate on what constitutes trustworthiness, there is broad agreement that transparency and evidence is essential to enable end users to make informed decisions about the repository services they use. In this support action successful applicants will have the opportunity to test a prototype developed by FAIR-IMPACT to expose relevant metadata at the organisational and object l
Enhancing the trustworthiness, FAIRness, and findability of University of Padua digital repositories. The case of Research Data Unipd
FAIR-enabling and trustworthy data repositories play a central role in making and keeping data FAIR over time. While there is ongoing debate on what constitutes trustworthiness, there is broad agreement that transparency and evidence is essential to enable end users to make informed decisions about the repository services they use.
Implementation Story
Testing the trustworthy and FAIR-enabling repositories
Testing the trustworthy and FAIR-enabling repositories prototype at the Digital Repository of Ireland
FAIR-enabling and trustworthy data repositories play a central role in making and keeping data FAIR over time. While there is ongoing debate on what constitutes trustworthiness, there is broad agreement that transparency and evidence is essential to enable end users to make informed decisions about the repository services they use.
Implementation Story
PLUS
Two parts of the same endeavour: the collaborative FAIR-journey of Paris-Lodron Universität Salzburg
Paris Lodron University of Salzburg (PLUS) participated in two of FAIRIMPACT’s support programmes: one aimed at Research Performing Organisations (RPOS), and the other designed for Repositories and Data Service Providers. This FAIR Implementation Story outlines the specific aims and actions of PLUS in relation to their participation in these support programmes.
Implementation Story
Development of the Persistent Identifier Policy for the Lithuanian Data Archive for Social Sciences and Humanities (LiDA)
Development of the Persistent Identifier Policy for the Lithuanian Data Archive for Social Sciences and Humanities (LiDA)
This FAIR Implementation Story outlines the experience of the Lithuanian Data Archive for Social Sciences and Humanities hosted by the Centre for Data Analysis and Archiving of Kaunas University of Technology (LiDA/KTU) in relation to their self assessment.
Implementation Story
Developing a National PID Recommendation for Sweden and using FAIRCORE4EOSC's Compliance Assessment Toolkit to further develop the PID policy of the Swedish National Data Service
Developing a National PID Recommendation for Sweden and using FAIRCORE4EOSC's Compliance Assessment Toolkit to further develop the PID policy of the Swedish National Data Service
The support action did not focus on any specific PID type but rather provide general best practice guidelines on the creation and assessment of PID policies. This FAIR Implementation Story outlines the experience of the Swedish National Data Service in relation to their self assessment.
Implementation Story
Towards making the Research Analysis Identifier (RAI ID) EOSC PID policy compliant
Towards making the Research Analysis Identifier (RAI ID) EOSC PID policy compliant
The persistent identification of research outputs is part of good research data management practice and is central to the FAIR Principles and the vision of the European Open Science Cloud (EOSC). There are many types of persistent identifiers (PIDs) currently being used to identify data and other kinds of research outputs but also different actors involved in the creation of outputs and the organisations that employ them or fund their work.
Support received
Scientific domain
FAIR Implementation tool
Key topic