Recommendation to use established, sustainable and interoperable PID systems for the identification of frequently referenced entities in research metadata.
Status: 2026/08/14 09:54 Under development
Persistent Identifiers (PIDs) are an important building block of any FAIR data ecosystem. There are numerous PID types existing for a variety of diverse, but also similar applications. As such it is difficult to decide, whic PID type to adopt. This decision process should use transparent technical, organisational and community-related criteria and processe. Where an established PID system exists for a particular entity type, this system should be used instead of locally defined identifiers or unstructured textual descriptions.
This recommendation explains, what criteria can be employed to select PID types for particular applications.
[1] European Commission: A Persistent Identifier (PID) policy for the European Open Science Cloud (EOSC)
[shortened from below]
Helmholtz Earth and Environment data providers and operators of research information systems should use established, globally unique and resolvable PID types whenever metadata refers to an entity type for which a suitable PID system is available.
The PID system should be selected according to documented criteria concerning scope, community adoption, governance, sustainability, metadata, interoperability and technical operation.
| mandatory | conditional | optional | |
|---|---|---|---|
| Helmholtz FAIR Principle |
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Names of contributors to this recommendation
About
Defintion of PIDs
Criteria for the evaluation of PID Systems
History and structure
Current Use of …
Motivation
(quality of content, limitations, interoperability, sustainability: expected future dissemination / technical availability / funding)
[Format: Wer! macht was! wo! wann! unter welchen Voraussetzungen!]
[1] European Commission: Directorate-General for Research and Innovation, EOSC Executive Board, Hellström, M., Heughebaert, A., Kotarski, R. et al., A Persistent Identifier (PID) policy for the European Open Science Cloud (EOSC), Publications Office, 2020, https://data.europa.eu/doi/10.2777/926037
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