The FAIR-IMPACT Implementation stories illustrate good practices in research communities and organisations to support the implementation of the FAIR principles.
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.
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.
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. FAIR-IMPACT’s Creating EOSC compliant Persistent Identifier (PID) policies
support action.
Implementation Story
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
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
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
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.