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
IS1
This FAIR Implementation Story outlines the specific aims and actions of BIOMA Institute - UNAV in relation to their participation in the RPO support programme. 
Implementation Story

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
The Academic Computer Centre CYFRONET AGH Story: Supporting Data Policy Development in Poland
This FAIR Implementation Story outlines the specific aims and actions of ACC Cyfronet AGH in relation to their participation in the support action. 
Implementation Story
Connect local and regional resources to their policies
This FAIR Implementation Story outlines the specific aims and actions of the University National Center of Scientific and Technical Documentation (CNUDST), Tunisia, in relation to their participation in the support action. 
Implementation Story
Improving Data Policies at the University of Sheffield and UK Reproducibility Network
This FAIR Implementation Story outlines the specific aims and actions of Dr Adam Partridge (The University of Sheffield and UK Reproducibility Network) in relation to their participation in the support action. 
Implementation Story
IMISE
This FAIR Implementation Story outlines the specific aims and actions of IMISE, University Leipzig (NFDI4Health, Medical Informatics Initiative) in relation to their participation in the support action.
Implementation Story
Sharing Research Data Policies in Ireland
This FAIR Implementation Story outlines the specific aims and actions of the Digital Repository of Ireland in relation to their participation in the support action.
Implementation Story
Evaluating RDM Policies in the Netherlands
This FAIR Implementation Story outlines the specific aims and actions of TU/e in relation to their participation in the support action. 
Implementation Story
Boavida
This FAIR Implementation Story outlines the specific aims and actions of Iscte – Instituto Universitário de Lisboa in relation to their participation in the support action.
Implementation Story
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

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)
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.