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 and managing new PID Policy at the Tarki Social Science Data Archive

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.

Implementation Story
Guidelines and policy for RAiD, the Research Activity Identifier
Guidelines and policy for RAiD, the Research Activity Identifier
FAIR-IMPACT’s Creating EOSC-compliant Persistent Identifier (PID) policies support action aimed to help successful applicants complete self-assessments concerning their PID policy readiness through the use of FAIRCORE4EOSC’s Compliance Assessment Toolkit (CAT) service, which strives to encode, record, and query compliance with the EOSC PID policy. The support action did not focus on any specific PID type but rather provided general best practice guidelines on the creation and assessment of PID policies. This FAIR Implementation Story outlines the experience of SLICES-RI with their self-assessment. 
Implementation Story
Developing a PID Policy for the HUN-REN Data Repository Platform
Developing a PID Policy for the HUN-REN Data Repository Platform

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.

Implementation Story
Developing a PID Policy for the Scientific Largescale Infrastructure for Computing/Communication Experimental Studies (SLICES-RI)
Developing a PID Policy for the Scientific Largescale Infrastructure for Computing/Communication Experimental Studies (SLICES-RI)
This FAIR Implementation Story outlines the experience of SLICES-RI with their self-assessment. SLICES is a flexible platform designed to support large-scale, experimental research focused on networking protocols, radio technologies, services, data collection, parallel and distributed computing and in particular cloud and edge-based computing architectures and services. The SLICES-RI consortium gathers partners from 16 European countries.
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
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.
Implementation Story
Supporting PID policies through research tools/ platforms
Supporting PID policies through research tools/ platforms
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