Persistent identifiers (PIDs) are long-lasting references to digital resources that remain valid even if the resource’s location changes. They are fundamental to making research findable, accessible, and citable in the long term. Throughout this book, you’ll see recommendations to “assign a DOI” or use persistent identifiers - this chapter explains what PIDs are, how they work, and how they enable FAIR and open research practices.
What are Persistent Identifiers?¶
A persistent identifier is a unique string of characters that reliably points to a specific digital resource. Unlike a web address (URL) that can break when a website is reorganized or shut down, a PID is designed to remain functional indefinitely.
The Link Rot Problem¶
Research outputs shared online face a significant challenge: link rot. Studies have shown one in five reference article become inaccessible within just a few years. When a dataset moves from one repository to another, or when a university reorganizes its web infrastructure, ordinary web links break. This makes it impossible for other researchers to find and verify the original work.
How PIDs Solve This¶
PIDs use a resolution service that acts as a lookup system:
The PID (for example,
10.5281/zenodo.3332807) doesn’t change even if the resource movesWhen someone uses the PID, it is sent to a resolver (like https://doi.org)
The resolver looks up where the resource currently lives and redirects the user to the correct location
If the resource moves, only the resolver’s records need updating - the PID itself stays the same
This is similar to how a phone number can stay the same even if you move to a new address.
Open Scholarly Infrastructure Ecosystem¶
Modern research relies on an ecosystem of interconnected PID systems. These systems work together to create a connected scholarly graph where research outputs, people, organizations, and funding can all be reliably identified and linked.
PIDs for Research Outputs¶
DataCite and Crossref are the two main providers of Digital Object Identifiers (DOIs) for research:
DataCite specialises in assigning DOIs to diverse research outputs including:
Datasets
Software and code
Preprints and working papers
Protocols and methods
Presentations and posters
Data Management Plans
Physical samples
Workflows and computational notebooks
Crossref primarily handles:
Journal articles and book chapters
Published conference proceedings
Dissertations and theses
Reports and standards documents
Both systems use the same DOI infrastructure (the Handle System), so all DOIs work the same way regardless of which organization issued them. The main difference is in their communities and the types of metadata they specialize in collecting.
When you use a trusted repository (see our chapter on data repositories), it will typically assign a DOI through one of these providers automatically. You don’t usually need to choose between DataCite and Crossref yourself - the repository or publisher handles this for you.
PIDs for People¶
ORCID (Open Researcher and Contributor ID) provides unique identifiers for researchers. An ORCID iD is a 16-digit number that distinguishes you from every other researcher, even those with identical names.
For comprehensive guidance on ORCID, see our dedicated chapter on ORCID.
Key benefits:
Collect all your research outputs in one place, regardless of where they’re published
Link your work across name changes or institutional moves
Automatically populate author information when submitting to journals and funders
Ensure proper attribution when others cite your work
PIDs for Organizations¶
ROR (Research Organization Registry) provides identifiers for research institutions. Every university, research institute, and funding organization can have a unique ROR ID.
Examples:
The Alan Turing Institute:
https://ror.org/03f0awy98Max Planck Society:
https://ror.org/01hhn8329Himalayan Biodiversity Network:
https://ror.org/03b57r242
ROR IDs appear in research output metadata to indicate:
Where researchers are affiliated
Which institutions collaborated on a project
Where research was conducted
PIDs for Funders¶
The Crossref Funder Registry and ROR provides identifiers for funding organizations. These enable researchers to formally cite the grants that supported their work, not just acknowledge them in text.
This creates a traceable connection between:
The grant that funded the research
The researchers who received funding
The research outputs that resulted
For more on citing funding, see the section on connection metadata in linking research outputs.
How These Systems Work Together¶
These PID systems don’t operate in isolation - they’re designed to interconnect:
A dataset (DataCite DOI) can be linked to:
The researchers who created it (ORCIDs)
Their institutions (ROR IDs)
The grants that funded it (Funder IDs)
The article that describes it (Crossref DOI)
The software used to analyze it (DataCite DOI)
This creates a rich, queryable network of relationships that makes research more discoverable and its impacts more measurable. Funders, institutions, and researchers can trace the full story of research from funding to outputs to reuse.
PIDs and FAIR Principles¶
Persistent identifiers are not just convenient - they’re fundamental to making research FAIR (Findable, Accessible, Interoperable, and Reusable).
Findable¶
PIDs make research objects findable in multiple ways:
Unique identification: Every research output gets a globally unique identifier that can’t be confused with anything else
Metadata harvesting: PID providers collect standardized metadata that can be searched across millions of research outputs
Search engines: Services like DataCite Metadata Search, Google Dataset Search, and BASE aggregate PID metadata to enable discovery
Discipline-specific discovery: PIDs allow community repositories to expose their holdings to broader search systems
When you assign a PID to a dataset, it becomes discoverable not just on the repository where it lives, but across the entire scholarly ecosystem.
Accessible¶
PIDs point to access methods, even for restricted resources:
PIDs resolve to a landing page that describes the resource and how to access it
Even if data cannot be openly shared (for example, due to privacy concerns), the metadata describing it can be
Landing pages explain access conditions, embargo periods, or application processes
The PID remains valid even if access conditions change over time
This aligns with the principle that data should be “as open as possible, as closed as necessary.” See our chapters on open data and sharing data for guidance on when and how to share research outputs.
Interoperable¶
PIDs use standard systems that work across platforms:
All DOIs use the same resolution infrastructure, regardless of who issued them
Standardized PID metadata formats enable automatic data exchange between systems
PIDs can be embedded in other metadata formats, citations, and databases
Relationship types (see linking research outputs) allow expressing connections in machine-readable ways
This means tools and services can be built on top of PID infrastructure, creating value beyond what any single repository could provide.
Reusable¶
PIDs enable persistent citation and credit:
Formal citation of research outputs beyond traditional publications
Track reuse and impact through citation networks
Clear attribution enables ethical reuse
Versioning through PIDs allows citing specific versions while maintaining connections to the conceptual work
When combined with open licenses, PIDs make it clear what can be reused and by whom.
PID Metadata¶
When a PID is created, it’s accompanied by metadata - structured information about the resource the PID identifies. This metadata is what makes research discoverable and understandable.
What is PID Metadata?¶
PID metadata is:
Machine-readable: Formatted so computers can automatically process and exchange it
Standardized: Uses common field names and structures across all resources
Cross-domain: Works for any type of research output, not just one discipline
Publicly accessible: Available even if the resource itself has restricted access
Core PID Metadata Properties¶
While different PID providers have their own schemas, core properties typically include:
Essential (usually required):
Identifier: The PID itself (for example, DOI)
Creator: Who created the resource
Title: What the resource is called
Publisher: Who is making it available (often the repository)
Publication Year: When it was made available
Resource Type: What kind of output it is (Dataset, Software, Preprint, and so on)
Important for discoverability:
Description: What the resource is about (abstract or summary)
Subject/Keywords: Topics covered
Rights: License and reuse terms
Version: Which version this is
Language: What language(s) it’s in
For linking and attribution:
Related Identifiers: Links to other research outputs (papers, data, code)
Funding References: Grants that supported the work
Contributors: Others who contributed (with ORCID iDs)
Affiliation: Institutional affiliations (with ROR IDs)
For comprehensive guidance on metadata, see our chapter on documentation and metadata.
Relationship to Domain-Specific Metadata¶
It’s important to understand that PID metadata and domain-specific metadata serve different but complementary purposes:
PID metadata enables discovery:
Works across all research domains
Optimized for search engines and aggregators
Minimal barrier to entry
Focus on core bibliographic information
Domain-specific metadata enables reuse:
Follows community standards for a specific field (for example, Brain Imaging Data Structure for neuroscience)
Contains detailed technical specifications
May include specialized vocabularies or ontologies
Critical for understanding and working with the data
Both are needed: Think of PID metadata as the catalog card that helps someone find a book in a library, while domain-specific metadata is the detailed table of contents and index inside the book.
Our metadata chapter discusses resources like FAIRsharing that help you find the right domain-specific standards for your field. When you deposit in a repository, you’ll typically provide both:
Core PID metadata through the repository’s submission form
Domain-specific metadata as part of your documentation and data files
Metadata Completeness: Minimal vs. Rich¶
While some fields are required to create a PID, providing rich metadata substantially increases the value of your research outputs:
Minimal PID metadata (required fields only) allows:
Basic discovery through search
Formal citation in references
Persistent access to the resource
Rich PID metadata (many optional fields completed) enables:
More precise search and filtering
Understanding context without accessing the resource
Automated connections to related work
Better assessment of relevance and reusability
Tracking funding impact and institutional contributions
Example of minimal vs. rich metadata:
Minimal:
Title: Field Survey Data
Creator: J. Smith
Publisher: Generic Repository
Year: 2024
Type: DatasetRich:
Title: Soil Carbon Content Survey Data from Temperate Grasslands 2022-2023
Creators: Jane Smith (ORCID: 0000-0002-1234-5678)
Alex Johnson (ORCID: 0000-0003-8765-4321)
Affiliations: University of Example (ROR: 02abcdef9)
Publisher: Field Science Data Repository
Year: 2024
Type: Dataset
Description: Soil samples collected monthly from 15 grassland sites in
Oxfordshire, UK, analyzed for total organic carbon using
loss-on-ignition method. Part of the Grassland Carbon
Monitoring project.
Subjects: Soil Science; Carbon Cycle; Grassland Ecology
Related Identifiers:
- IsSupplementTo: doi:10.1234/example-paper (the paper)
- IsCompiledBy: doi:10.5281/zenodo.1234567 (the analysis code)
Funding: Natural Environment Research Council (Grant NE/X012345/1)
Rights: Creative Commons Attribution 4.0 International
Version: 1.0
Geolocation: Oxfordshire, UK (51.7°N, 1.2°W)The rich metadata tells a much more complete story and enables many more discovery pathways.
How Repositories Generate PID Metadata¶
When you deposit research outputs in a trusted repository (see our chapter on repositories), the repository handles PID creation and much of the metadata collection automatically:
You provide information through the repository’s upload form (title, description, creators, and so on)
The repository generates a PID (usually a DOI) through its relationship with DataCite or Crossref
The repository constructs properly formatted PID metadata from your information
The repository registers the PID and metadata with the PID provider
The PID provider makes the metadata publicly searchable through their services
The metadata is harvested by aggregators and discovery services
This automated process is one of the key benefits of using established repositories rather than just hosting files on a personal or institutional website.
The repository also typically creates a landing page for your PID that displays the metadata in human-readable format and provides access to the resource itself.
Practical Guidance¶
When to Create PIDs for Your Research Outputs¶
PIDs are valuable for nearly any research output that you want others to be able to find, access, and cite. Consider creating PIDs when:
During research planning:
Data Management Plans that you want to cite in reports
Registered protocols or preregistrations (see registered reports)
Experimental or computational protocols
During research execution:
Raw datasets collected
Processed or cleaned datasets
Interim analysis results
Computational notebooks documenting analysis steps
Software or code developed for the project
When preparing publications:
Preprints of articles
Final datasets supporting publications
Analysis code to reproduce results
Presentations or posters about the work
After publication:
Updated versions of datasets or code
Educational materials derived from your research
Null results or negative findings
PIDs are not just for “final” outputs - see our chapter on research objects for more on sharing throughout the research lifecycle.
Repository-Based vs. Direct PID Minting¶
There are two main ways to obtain PIDs:
Repository-based (recommended for most researchers):
How it works: Upload your output to a trusted repository, which creates the PID automatically
Advantages:
Simpler - repository handles all technical details
Includes storage and preservation
Repository maintains the PID even if you move institutions
Established community trust
Examples: Zenodo, Figshare, Dryad, OSF, institutional repositories
See our chapter on selecting repositories for guidance on choosing the right one.
Direct minting (for specialized cases):
How it works: Your institution or organization registers PIDs directly with a PID provider
Advantages:
More control over the process
Can integrate with custom systems
Useful for large-scale automated workflows
Considerations:
Requires institutional infrastructure and expertise
Your institution must be a member of the PID provider
You’re responsible for maintaining the PID and hosting the resource
May use services like DataCite Fabrica
For most researchers, repository-based PID creation is the appropriate choice.
Understanding DOI Resolution¶
When you or someone else uses a DOI, here’s what happens:
A DOI is shared (in a citation, link, or reference):
doi:10.5281/zenodo.3332807It’s formatted as a URL to make it clickable:
https://doi.org/10.5281/zenodo.3332807The doi.org resolver looks up where the resource currently lives
You’re redirected to the resource’s current location (the landing page at Zenodo, in this example)
The landing page shows metadata and provides access to the resource itself
This is why DOIs should always be expressed as full URLs in online contexts:
✓ Good:
https://doi.org/10.5281/zenodo.3332807✗ Less useful:
10.5281/zenodo.3332807(not clickable)✓ Also good in text:
doi:10.5281/zenodo.3332807(clear it’s a DOI)
Maintaining PIDs¶
One of the key advantages of using repository-based PIDs is that you don’t need to maintain them yourself. The repository ensures:
The PID continues to resolve even if the repository’s website is redesigned
The metadata stays accurate and can be updated if needed
The resource remains accessible according to the preservation policies
The landing page is maintained with current access information
If you need to update metadata (for example, to add a link to a publication that cites your data), contact the repository where the resource is hosted. Most repositories provide forms or help systems for metadata updates.
What if a Resource Truly Disappears?¶
In rare cases, a resource may need to be removed (for example, if it’s found to contain sensitive data that shouldn’t have been shared). Even then, the PID is not deleted:
The PID continues to resolve to a tombstone page
The tombstone explains why the resource is no longer available
Any remaining metadata that can be safely shared is displayed
This preserves the scholarly record and explains what happened
This is much better than a link that simply returns “404 Not Found” - it provides context and maintains the integrity of the citation network.
Connecting Research Through PIDs¶
PIDs are most powerful when they’re used to connect related research outputs together. For detailed guidance on how to link your research outputs, versions, and funding through PID metadata, see our chapter on linking research objects.
Key connections you can make:
Link datasets to the papers that describe them
Connect different versions of the same resource
Tie research outputs to the grants that funded them
Associate outputs with related resources like protocols or analysis code
Additional Resources¶
Learn More About PIDs¶
PIDforum community - News and discussions about persistent identifiers
DataCite Support - Technical documentation and help
Crossref Resource Center - Documentation for Crossref services
ORCID Support - Help with ORCID iDs
PIDs 101 Webcast - Webinar introducing PIDs
PID Services and Tools¶
doi.org - The main DOI resolver
DataCite Metadata Search - Search across millions of research outputs with DataCite DOIs
Crossref Metadata Search - Search publications with Crossref DOIs
ORCID Registry - Look up researchers and their works
ROR Registry - Search for research organizations
Related Chapters in The Turing Way¶
Making Research Objects Citable - How to cite and get credit for all your research outputs
FAIR Principles - Making research Findable, Accessible, Interoperable, and Reusable
Data Repositories - Choosing where to deposit research outputs
Documentation and Metadata - How to describe your research effectively
Research Objects - Sharing research throughout the lifecycle
Linking Research Objects - Creating connections between related outputs
- Klein, M., Van de Sompel, H., Sanderson, R., Shankar, H., Balakireva, L., Zhou, K., & Tobin, R. (2014). Scholarly Context Not Found: One in Five Articles Suffers from Reference Rot. PLoS ONE, 9(12), e115253. 10.1371/journal.pone.0115253
- (2021). Templeton World Charity Organization. 10.54224/20568