Presentation Information
[U04-05]Persistent Identifiers: Strategic Tools for Research Data Management★Invited Papers
*Veronique Stoll1 (1.French Ministry of Research)
Keywords:
Persistent Identifiers,Open science,Data management,FAIR principles
The exponential growth of scientific publications, datasets, and diverse research outputs has made the unique and reliable identification of research ecosystem components (researchers, publications, datasets, software…) a critical challenge. This presentation examines how Persistent Identifiers (PIDs) address this challenge and their strategic role in transforming research data management and administrative processes.
PIDs are unique, permanent digital codes readable by both humans and machines that provide lasting references to entities, unlike unstable URLs. By enabling identification, discovery, traceability, and standardized citation throughout the research lifecycle, PIDs directly support FAIR principles while promoting automation of data exchange between information systems. This automation contributes significantly to administrative simplification through the "tell us once" principle, reducing data duplication and manual entry burdens.
International recognition of PIDs as structural instruments of open science is evident across multiple initiatives: Canada's federal open science roadmap, US OSTP guidelines, European Open Science Cloud's PID policy, and UNESCO's recommendations on open science. Countries including the UK, Australia, Finland, the Netherlands, Germany, and South Korea have implemented national PID policies or roadmaps, with the UK and Australia measuring concrete benefits in researcher time saved. The G7 Research Compact (2021) further commits member countries to strengthening data availability, sustainability, interoperability, and accessibility.
This presentation contextualizes these developments within France's 2024 roadmap "Data for Simplification and Research Management" launched by the Ministry of Higher Education and Research. This roadmap aims to ensure data circulation and interoperability while respecting institutional autonomy, following the "tell us once" principle to reduce administrative burdens on research teams. PIDs play a key role in this framework by guaranteeing interoperability across heterogeneous higher education and research systems through data traceability, reliability, and reusability.
PIDs are unique, permanent digital codes readable by both humans and machines that provide lasting references to entities, unlike unstable URLs. By enabling identification, discovery, traceability, and standardized citation throughout the research lifecycle, PIDs directly support FAIR principles while promoting automation of data exchange between information systems. This automation contributes significantly to administrative simplification through the "tell us once" principle, reducing data duplication and manual entry burdens.
International recognition of PIDs as structural instruments of open science is evident across multiple initiatives: Canada's federal open science roadmap, US OSTP guidelines, European Open Science Cloud's PID policy, and UNESCO's recommendations on open science. Countries including the UK, Australia, Finland, the Netherlands, Germany, and South Korea have implemented national PID policies or roadmaps, with the UK and Australia measuring concrete benefits in researcher time saved. The G7 Research Compact (2021) further commits member countries to strengthening data availability, sustainability, interoperability, and accessibility.
This presentation contextualizes these developments within France's 2024 roadmap "Data for Simplification and Research Management" launched by the Ministry of Higher Education and Research. This roadmap aims to ensure data circulation and interoperability while respecting institutional autonomy, following the "tell us once" principle to reduce administrative burdens on research teams. PIDs play a key role in this framework by guaranteeing interoperability across heterogeneous higher education and research systems through data traceability, reliability, and reusability.