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Persistent identifiers (PIDs) are central to FAIR research data management making data findable, accessible, interoperable, and reusable. They allow broad interlinking of data, metadata and resources, and are thus crucial for research and open science. However, different disciplines and resources reflect the complexity of implementing PIDs across various research fields.
PID4NFDI is the basic service for persistent identifiers (PIDs) in development for the German National Research Data Infrastructure (Nationale Forschungsdateninfrastruktur – NFDI), funded by the Base4NFDI initiative. Efforts are currently underway to build a basic service based on established PID infrastructures to provide various PID-related services to NFDI stakeholders. The different stages of implementation of PIDs by the various NFDI consortia illustrate the ongoing progress and obstacles encountered by the basic service PID4NFDI.
Therefore, PID4NFDI is organizing a stakeholder workshop with the objective of gathering insights from participants regarding their experiences with PID implementation and usage. This workshop will serve as a platform for representatives from NFDI consortia, international initiatives, projects, and other interested parties to share their perspectives on current practices and explore potential improvements in PID services.
We invite all stakeholders from international and national initiatives and projects, especially representatives of NFDI consortia and sections, to join us on November 11, 2024, for this collaborative opportunity to discuss strategies for enhancing PID implementation and the support services offered by PID4NFDI.
After welcoming the participants and introducing the workshop agenda, PID4NFDI will give a short project overview and present its current status and activities, results from a PID landscape analysis and future plans.
PID provider present their organizations, PIDs and services. The presentations will be followed by the opportunity to ask questions.
This presentation provides an introduction to DataCite, a global non-profit organization dedicated to supporting the research community through persistent identifiers (PIDs). DataCite plays a key role in making research outputs—including datasets, software, and other non-traditional research materials—findable, citable, and interconnected. The talk will highlight the importance of PIDs and rich metadata in enhancing research transparency, visibility, and reusability, and will include real-world examples of the impact of our PID infrastructure.
The European Persistent Identifier Consortium (ePIC) is a collaborative initiative established in 2009 to enhance the management of research data through the use of PIDs. With nine founding members, ePIC aims to provide a robust and user-friendly PID system that supports researchers in creating, processing, and resolving identifiers for their digital resources. As the volume and complexity of research data continue to grow, ePIC addresses the critical need for stable references that ensure long-term accessibility and citation of scientific materials. By leveraging the Handle system, ePIC facilitates reliable linking between data and related resources, thereby fostering a sustainable research environment. The GWDG (Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen), which operates parts of the global PID system, is a founding member of ePIC.
PIDA is a lightweight PURL service that provides unique persistent URLs (PURLs) that can be used as internationalized resource identifiers (IRIs) within semantic artifacts such as glossaries, thesauri, ontologies and knowledge graphs. The main objective is to support and facilitate the findability and accessibility of semantic artifacts published on the Web in the long term. PIDs provided by PIDA are functional URLs/IRIs; instead of pointing directly to the location of an internet resource, a PID points to an intermediate-resolution service. The resolution service associates the PID with the actual URL/IRI and returns that location on the web to the client. The client can then complete the transaction in a normal fashion. PIDA also supports content negotiation. This allows specifying which representation of a resource (e.g., HTML, TTL, etc.) is required by semantic agents via the same identifier.Furthermore, this also ensures that: 1) a resource can be reliably referenced for future access; 2) links to resources do not break; 3) support findability—one of the key elements in the FAIR principles; and 4) entities can be identified unambiguously. In this talk, I will introduce the new features offered by PIDA and how to obtain PIDA PURLs free of charge. These features include usage statistics dashboards, regular system health checks, and automatic notifications for broken PURLs.
This presentation will provide a brief overview of ORCID, as standard Persistent Identifier (PID) for people, explaining what it is, how it works, and its role in the research ecosystem. We will emphasize the importance of interoperability and how ORCID contributes to it by connecting researchers with other PIDs for research outputs, funding and research organizations, or even other PIDs for people. Through ORCID’s API active integrations, a network of trusted assertions is created, enhancing data reliability and collaboration across the research landscape. The session will also include a quick demo of an ORCID integration, showcasing its practical application for researchers and institutions.
This talk introduces ARKs (Archival Resource Keys), decentralized non-paywalled persistent identifiers (PIDs) used for decades to identify scientific and cultural heritage of any type, digital, physical, or abstract. Since 2001, 8.2 billion ARKs have been created by over 1400 organizations – data centers, publishers, libraries, archives, museums, and government agencies. With highly flexible metadata and resolution options, ARKs are well-suited for citation, linked-data, and identifying component parts, such as IIIF image details. In 2018, multiple organizations partnered to form the ARK Alliance in order to sustain the ARK infrastructure and guide its future.
Representatives of NFDI consortias and RDM solutions give insights into different PID use cases. The presentations will be followed by the opportunity to ask questions.
Microbial strains can be known by a myriad of different strain designations, culture collection numbers and sequence accessions, which poses a challenge to the communication of research findings, as well as the comparison and reuse of data. Culture collection numbers have the advantage of being unique, stable and subject to high quality standards. Nevertheless, each collection receiving a culture of the same strain assigns their own number at deposition. Different designations are thus used throughout publications and databases, making it difficult for scientists to draw connections between them. Here we present the StrainInfo database, a service that collects and curates culture collection numbers as well as their relations and links them with different sources of information, such as publications and sequence accession numbers. This facilitates the connecting of data describing the same strain. The information is provided through a modern and intuitive web user interface, which enables users to easily find corresponding strain identifiers and links to associated data, and through a web API, that allows for direct integration of strain identity resolution into workflows and other databases. In the future, StrainInfo additionally aims to provide a central registry service for cultures, allowing microbiologists to register strain designations and receive persistent identifiers prior to deposition and publication.
PIDs are often considered in the late research phases, e.g. upon publishing a manuscript or publicizing a dataset. RSpace is a digital research data management platform used in the early, active research phase. RSpace integrates with a wide range of research data infrastructure, e.g. data repositories and data management planning tools, to facilitate the passage of data and metadata through a connected research ecosystem. Here, we share learnings from a recent integration of a PID registration workflow into RSpace’s physical sample management solutions using International Generic Sample Numbers (IGSNs), as well as discuss opportunities for how PIDs can be incorporated early in the development of metadata of research objects. We’ll overview further PID related initiatives to improve the FAIRness of research data and metadata generated and passing through RSpace.
Persistent Identifiers (PIDs) at the study or dataset level are insufficient for addressing the
complexity of data management in research. The lack of granularity citation at the level of inline data objects, such as individual survey variables, qualitative data files, and even smaller data points, leads to ambiguities in data citation, inadequate metadata, and data discovery and reusability challenges. The PID registration service introduced by KonsortSWD, part of the German National Research Data Infrastructure (NFDI), significantly advances the granularity of PIDs. This service supports the assignment of PIDs to these finer dataset elements and ensures accurate data citation since researchers usually use only a subset of the elements in a dataset. The service boosts data referencing practices and also ensures adherence to FAIR principles by enabling precise referencing of individual data elements. A single data point, the PID, enhances data citation, reuse, and direct access for automated access (i.e., by a computer program and under some requirements). In terms of implementation, the technical solution employs the ePic API and relies on the Handle standard. Tests PIDs have been successfully applied to diverse datasets, including survey variables from GESIS and the German Institute for Economic Research (DIW). Tests are also currently taking place at the German Center for University and Science Research (DZHW) in 2024 and are planned at Qualiservice in 2025. By serving as a base service under the umbrella of PID4NFDI, KonsortSWD's PID service provides a scalable framework that can adapt to many domains across the NFDI.
An opportunity for all participants to discuss the presented PID use cases and have an open exchange on needs, challenges and expectations.