Home Fundamentals Research Data Management FAIR Data Principles Metadata Ontologies Data Sharing Data Publications Data Management Plan Version Control & Git Public Data Repositories Persistent Identifiers Electronic Lab Notebooks (ELN) DataPLANT Implementations Annotated Research Context ARC specification ARC Commander Swate MetadataQuiz DataHUB DataPLAN Ontology Service Landscape Manuals ARC Commander Setup Git Installation ARC Commander Installation Windows MacOS Linux ARC Commander DataHUB Access Before we start Central Functions Initialize Clone Connect Synchronize Configure Branch ISA Metadata Functions ISA Metadata Investigation Study Assay Update Export ARCitect Installation - Windows Installation - macOS Installation - Linux QuickStart QuickStart - Videos ARCmanager What is the ARCmanager? Connect to your DataHUB View your ARCs Create new ARCs Add new studies and assays Upload files Add metadata to your ARCs Swate QuickStart QuickStart - Videos Annotation tables Building blocks Building Block Types Adding a Building Block Filling cells with ontology terms Advanced Term Search File Picker Templates Contribute Templates ISA-JSON DataHUB Overview User Settings Generate a Personal Access Token (PAT) Projects Panel ARC Panel Forks Working with files ARC Settings ARC Wiki Groups Panel Create a new user group CQC Pipelines & validation Find and use ARC validation packages Data publications Passing Continuous Quality Control Submitting ARCs with ARChigator Track publication status Use your DOIs Guides ARC User Journey Create your ARC ARCitect QuickStart ARCitect QuickStart - Videos ARC Commander QuickStart ARC Commander QuickStart (Experts) Annotate Data in your ARC Annotation Principles ISA File Types Best Practices For Data Annotation Swate QuickStart Swate QuickStart - Videos Swate Walk-through Share your ARC Register at the DataHUB DataPLANT account Invite collaborators to your ARC Sharing ARCs via the DataHUB Work with your ARC Using ARCs with Galaxy Computational Workflows CWL Introduction CWL runner installation CWL Examples CWL Metadata Recommended ARC practices Syncing recommendation Keep files from syncing to the DataHUB Managing ARCs across locations Working with large data files Adding external data to the ARC ARCs in Enabling Platforms Publication to ARC Troubleshooting Git Troubleshooting & Tips Contribute Swate Templates Knowledge Base Teaching Materials Events 2023 Nov: CEPLAS PhD Module Oct: CSCS CEPLAS Start Your ARC Sept: MibiNet CEPLAS Start Your ARC July: RPTU Summer School on RDM July: Data Steward Circle May: CEPLAS Start Your ARC Series Start Your ARC Series - Videos Events 2024 TRR175 Becoming FAIR CEPLAS ARC Trainings – Spring 2024 MibiNet CEPLAS DataPLANT Tool-Workshops TRR175 Tutzing Retreat Frequently Asked Questions

Persistent Identifiers

last updated at 2022-05-09 What are PIDs?

Persistent identifiers (PIDs) – as the name suggests – enable to persistently identify a resource. This may sound complicated, but consider a daily life example for PIDs: the International Standard Book Number (ISBN). The 13-digit ISBN code allows to unambiguously identify a book without having to specify book author, title or any other detail. Just as the ISBN alone helps you to find and order a book at a local retailer, PIDs enable you to easily find different entities or resources relevant to plant sciences. This can include publications, methods, samples or other experimental materials, software, and the datasets they produce or your contributions to the earlier.

Globally unique and persistent

Two major requirements of PIDs are the reason they contribute to virtually all aspects of FAIR data management. PIDs need to be globally unique and persistent, i.e. they stably resolve to identify the respective resource, also in the (foreseeable) future. Global uniqueness is nowadays technically achieved through use of the internet. In simple words: no web address may exist more than once. However, it is good to know that standard URLs (uniform resource locators, "web addresses") cannot be considered PIDs. Sparing the technical details behind PIDs (see PURLs and Handles), consider the homepage of an institute where a publication was originally stored at the URL
https://plant-science-institute.com/research/publications/publication and after homepage restructuring moved to
https://plant-science-institute.com/about/outputs/publication. The earlier URL becomes a "dead link", impossible to be properly resolved and identify the linked publication, a phenomenon known as "link rot". Although many PIDs resolve to a URL, taking the user to the proper location, they more importantly resolve to the content of the linked digital object (e.g. a dataset or publication). The example shows that the technical layer alone (global uniqueness through web addresses) is not enough to guarantee persistence and prevent "link rot". This is achieved socially through defined policies and institutions: PIDs are actively curated and managed through registration services overseeing that the linked digital object is properly located.

What can I reference with a PID and why do I benefit from PIDs?

Although basically any imaginable – both analog and digital – entity can be assigned a PID, we mostly focus on PIDs that identify digital objects or resources. However these digital resources themselves may be descriptors of analog entities such as items at museums, samples from a collection, artistic or musical outputs. The exact benefit and how a PID is assigned to a resource depends on the context: what type of entity is referenced with a PID.

The two best known examples for PIDs used in science are DOI (Digital Object Identifier) and ORCID (Open Researcher and Contributor ID). The most established use of DOIs is to identify publications. Similar to an ISBN for a book, a DOI alone suffices to persistently link and refer to a publication, without naming the title, authors or journal. Usually DOIs are not actively requested by standard users, e.g. the authors submitting a manuscript to a journal or data to a repository, but they are assigned during the publication process, e.g. by the journal or data repository acting as the PID registration service.

On the other hand, you, as a researcher, need to request an ORCID (once). ORCIDs concisely identify researchers independent of identical names between multiple researchers or name changes (e.g. due to wedding). They can actively be curated, e.g. to link and present all publication or other digital outputs.

Common examples for PIDs People Digital objects and publications Samples and Resources Institutions Sources and further information

DataPLANT Support

Besides these technical solutions, DataPLANT supports you with community-engaged data stewardship. For further assistance, feel free to reach out via our helpdesk or by contacting us directly .
Contribution Guide 📖
✏️ Edit this page