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
IsoArch
Boosting validation and interoperability to drive FAIR principles forward at IsoArcH
The support action introduced successful applicants to three tools developed by the FAIRCORE4EOSC (FC4E) project. These include the Data Type Registry (DTR)2, vocabulary service, and Metadata Schema and Crosswalk Registry (MSCR).
Implementation Story
May25_Ukraine
Developing a Research Data Services for the Repository “DataverseUA” of the the National Academy of Sciences of Ukraine
This FAIR Implementation Story outlines the specific aims, actions and experiences of Kyiv Academic University in relation to participation in the support action.
Implementation Story
May25_17.University-of-Strasbourg
Using the FAIRCORE4EOSC’s Metadata Schema and Crosswalk Registry (MSCR) to enhance the interoperability of the University of Strasbourg’s POUNT platform (Plateforme OUverte Numérique Transdisciplinaire)
The support action introduced successful applicants to three tools developed by the FAIRCORE4EOSC (FC4E) project. These include the Data Type Registry (DTR), vocabulary service, and Metadata Schema and Crosswalk Registry (MSCR).
Implementation Story
Assessing a PID policy for datasets Registration Service at GESIS and ZBW
Assessing a PID policy for datasets Registration Service at GESIS and ZBW

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.


Implementation Story
Planning and creating a PID Policy at the Gdańsk University of Technology - finding solutions for legal and ethical considerations when working with sensitive data from technical and engineering disciplines
Planning and creating a PID Policy at the Gdańsk University of Technology - finding solutions for legal and ethical considerations when working with sensitive data from technical and engineering disciplines
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. 
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 FAIR-enabling data repository attributes prototype in KU Leuven RDR
Implementing a FAIR-enabling 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.
Support received
Scientific domain
FAIR Implementation tool
Key topic