Selecting Persistent Identifiers for Research Data: A Decision Framework

Persistent identifiers (PIDs) are stable references that uniquely identify digital objects, researchers, and organizations across systems and over time. For research data in the life sciences, selecting the correct PID type depends on the data type, repository requirements, citation needs, and the entity being identified. This article provides a decision framework for choosing among DOI, ORCID, ROR, and related identifiers, with practical implementation steps for researchers and data managers.

What Persistent Identifiers Do in Research Data Management

Research information is useful only when it can be shared with other researchers, institutions, funders, and the wider community. In digital research environments, sharing means transferring information between data systems. Persistent identifiers provide unique keys for people, places, and things, which enables accurate mapping of information between these systems and supports the research process by facilitating search, discovery, recognition, and collaboration. The main PIDs used in research include digital object identifiers for publications, ORCID iDs for researchers, and identifiers for research organizations. When used in combination, these identifiers increase trust in research and the research infrastructure.

For bioinformatics and life-science professionals, PIDs serve several concrete functions. They allow datasets to be cited reliably in publications, enable proper attribution to researchers and institutions, support data reuse by making objects findable and accessible, and help satisfy funder and repository requirements for data sharing. The FAIR Guiding Principles emphasize that data should be findable, accessible, interoperable, and reusable, and persistent identifiers are a foundational component of findability and accessibility.

At a Glance: PID Selection Decision Table

Core Principles of Persistent Identifier Selection

Uniqueness and Stability

A persistent identifier must be unique within its namespace and remain stable over time. The identifier should resolve to the same digital object or entity throughout its lifetime, even if the object moves to a different server or repository. When selecting a PID system, consider whether the provider has demonstrated long-term commitment to maintaining the resolution infrastructure. Some PID systems have operated for decades, while others are newer and less established.

Resolution and Access

The identifier should resolve to a landing page or metadata record that describes the identified entity. For datasets, the landing page should include descriptive metadata, access information, and licensing details. The resolution infrastructure matters because it determines how reliably the identifier works across different systems and over time. DNS-based resolution is one approach used for persistent identifiers, and it has implications for performance and reliability.

Metadata Quality

The value of a persistent identifier depends on the quality of the metadata associated with it. A DOI that resolves to a sparse metadata record provides less value than one with complete descriptive information. For clinical research data objects, a consistent metadata scheme is necessary to support data sharing. The DataCite standard provides a basis for metadata, with extensions needed to cover clinical research needs including study identification data, links to clinical trial registries, data object characteristics and identifiers, and information about location, ownership, and access.

Interoperability

PIDs work best when they can be exchanged between systems. A researcher identifier from ORCID should be usable in manuscript submission systems, grant applications, and repository deposits. An organization identifier from ROR should be recognized across publisher and funder systems. When selecting PIDs, consider whether the identifier type is widely adopted in your field and whether it integrates with the systems you use.

Practical Workflow for PID Selection

Step 1: Identify the Entity Type

Determine what you need to identify. The options include datasets, individual researchers, organizations, publications, software, physical samples, and biological sequences. Each entity type has appropriate identifier systems. For research data specifically, the primary choice is between a DOI for the dataset as a whole and database-specific accession numbers for individual records within a database.

Step 2: Check Repository Requirements

Before selecting a PID, verify the requirements of the repository where you plan to deposit data. Most reputable repositories assign DOIs to deposited datasets. Some specialized databases, such as NCBI resources, assign their own accession numbers. The repository may have specific requirements for metadata, file formats, and licensing that affect how the PID is registered and displayed.

Step 3: Consider Citation Needs

Think about how the data will be cited in publications. If the dataset will be referenced in journal articles, a DOI is the standard choice because it integrates with reference management software and publisher systems. If the data consists of individual sequence records that will be cited by accession number, the database-assigned identifier is appropriate. For clinical research, the metadata schema should support links between the study registration and the data objects.

Step 4: Evaluate Long-Term Sustainability

Assess the sustainability of the PID system you are considering. Established systems with clear governance and funding are more likely to remain operational. The question of which PID systems are here to stay is relevant when making selection decisions. Consider the provider's track record, community adoption, and institutional support.

Step 5: Register and Link Identifiers

Once you have selected the appropriate PID types, register them and link them together. Link your ORCID iD to your datasets and publications. Ensure that your organization is correctly identified in the ROR registry. Verify that the metadata associated with each identifier is complete and accurate.

Options and Tradeoffs Across PID Types

Digital Object Identifiers for Datasets

DOIs are the most widely used persistent identifiers for research data. They are assigned by registered agencies and resolve to landing pages with metadata. The main advantage of DOIs is their broad adoption across publishing and repository systems. The tradeoff is that DOIs identify the dataset as a whole, not individual records within it. For granular identification of individual data objects, other identifier systems may be needed.

ORCID for Researchers

ORCID provides unique identifiers for individual researchers. This is essential for ensuring that a researcher receives proper credit for their datasets and publications, especially when multiple researchers share similar names. ORCID iDs can be linked to datasets through metadata records, enabling accurate attribution. The tradeoff is that ORCID identifies people, not data objects, so it must be used in combination with dataset identifiers.

ROR for Organizations

The Research Organization Registry provides identifiers for institutions. This is important for correctly attributing research to the organization where it was conducted. ROR identifiers can be used in dataset metadata, publication records, and grant applications. The tradeoff is that ROR is a relatively recent system, and some legacy records may not yet have ROR identifiers assigned.

Database Accession Numbers

Specialized databases such as NCBI assign accession numbers to submitted sequences and other records. These identifiers are stable and are the standard citation format within the bioinformatics community. The tradeoff is that accession numbers are specific to the database that assigns them and may not be recognized outside that database's ecosystem.

Identifiers for Clinical Research Data

Clinical research data objects require identifiers that support links to trial registries and provide information about location, ownership, and access. The DataCite standard provides a foundation, but extensions are needed to cover the specific requirements of clinical research. When selecting identifiers for clinical data, consider whether the metadata schema supports the necessary linkages and access controls.

Observations and Measurements for PID Effectiveness

Tracking Identifier Usage

To assess whether your PID selection is working effectively, track how often your datasets are accessed and cited. Repository platforms typically provide usage statistics for deposited datasets. Monitor whether citations of your datasets include the correct DOI and whether the DOI resolves reliably. If you observe broken links or incorrect citations, investigate the cause and take corrective action.

Measuring Metadata Completeness

The completeness of metadata associated with your PIDs affects their utility. Review the metadata records for your datasets periodically to ensure they include all required fields. The level of metadata that publishers deposit with Crossref varies, and the submission systems used by publishers influence the extent to which metadata is captured. For your own deposits, verify that the metadata you provide is complete and accurate.

Assessing Integration Across Systems

Check whether your identifiers work correctly across the systems you use. For example, verify that your ORCID iD is recognized by manuscript submission systems, grant application portals, and repository platforms. Test whether your organization's ROR identifier resolves correctly in different contexts. Integration failures can reduce the value of your PID strategy.

Records and Documentation for PID Management

Maintaining an Identifier Registry

Keep a central record of all persistent identifiers associated with your research outputs. This registry should include the identifier value, the entity it identifies, the date of registration, the associated metadata, and any links to other identifiers. A spreadsheet or database can serve this purpose for individual researchers, while larger groups may need a more formal system.

Documenting Selection Decisions

Record the rationale for your PID selections. This documentation is valuable when questions arise about why a particular identifier type was chosen or when new data deposits require consistent decisions. Include information about repository requirements, citation needs, and any constraints that influenced the selection.

Tracking Identifier Lifecycle

Persistent identifiers have a lifecycle that includes registration, maintenance, and potentially retirement. Document when identifiers are registered, when metadata is updated, and when identifiers are no longer active. This tracking supports accurate reporting and helps identify issues before they become problems.

Quality Controls for PID Implementation

Verification of Identifier Resolution

Before publishing or sharing a dataset, verify that its DOI resolves correctly to the intended landing page. Test the resolution from different networks and devices to ensure broad accessibility. If the identifier fails to resolve, contact the repository or PID provider to resolve the issue.

Metadata Validation

Validate that all required metadata fields are populated and accurate. For clinical research data, ensure that the metadata includes the necessary study identification data and links to trial registries. Incomplete metadata reduces the findability of your data and may violate repository or funder requirements.

Cross-System Consistency Checks

Verify that your identifiers are consistent across all systems where they appear. For example, check that the ORCID iD associated with your datasets matches the ORCID iD in your publications. Inconsistencies can lead to attribution errors and reduce the trustworthiness of your research outputs.

Common Failure Patterns in PID Selection

Choosing a PID Type That Does Not Match the Entity

A common failure is using a DOI for an entity that requires a different identifier type, or vice versa. For example, assigning a DOI to an individual sequence record when the relevant database provides accession numbers may create confusion. Match the identifier type to the entity and the expectations of the relevant community.

Ignoring Repository Requirements

Depositing data in a repository without checking its PID requirements can lead to rework. Some repositories assign DOIs automatically, while others require specific metadata or use different identifier systems. Review repository documentation before depositing data.

Neglecting Metadata Quality

A PID with incomplete or inaccurate metadata provides limited value. Researchers sometimes register DOIs with minimal metadata, reducing the findability of their data. Invest time in creating complete metadata records that support discovery and reuse.

Failing to Link Related Identifiers

PIDs are most valuable when they are linked. A dataset DOI that is not linked to the researcher's ORCID iD or the organization's ROR identifier is harder to discover and attribute. Establish links between related identifiers as part of your data management workflow.

Overlooking Long-Term Sustainability

Selecting a PID system without considering its long-term viability can lead to broken identifiers in the future. Research the governance and funding of PID providers before committing to their systems.

Limitations of Persistent Identifier Systems

Resolution Infrastructure Dependencies

Persistent identifiers depend on resolution infrastructure that must be maintained over time. If the infrastructure fails or is discontinued, the identifiers may stop resolving. This is a risk for all PID systems, though established systems with broad community support are generally more resilient.

Metadata Currency

The metadata associated with a PID may become outdated. For example, an organization may change its name, or a researcher may move to a different institution. Keeping metadata current requires ongoing maintenance that is not always performed.

Coverage Gaps

Not all research outputs have appropriate PID systems. Software, physical samples, and other research objects may lack standardized identifier types. In these cases, researchers must make do with available options or advocate for new identifier systems.

Community Adoption Variability

The value of a PID depends on its adoption within the relevant community. An identifier type that is not recognized by key journals, repositories, or funders provides limited benefit. Consider community norms when selecting PID types.

Safety and Regulatory Context for PID Use

Genomic Data Sharing Requirements

For genomic data, funders and institutions may have specific requirements for data sharing that affect PID selection. The NIH Genomic Data Sharing Policy establishes expectations for data deposition and access that researchers must follow. When selecting PIDs for genomic data, ensure compliance with applicable policies and repository requirements.

Privacy Considerations for Health Data

Research involving health data raises privacy concerns that affect how data can be shared and identified. Privacy regulations and community perceptions of consent and de-identification influence data sharing practices. When selecting PIDs for health-related data, consider whether the identifier and associated metadata reveal sensitive information. The four themes of de-identification, consent, bias, and participation are areas of concern for secondary use of health data.

Federated Data Infrastructure

Federated systems for managing and sharing patient data allow each resource to operate under its own governance rules. These systems use persistent digital identifiers for datasets and data objects to enable federation across independently operated data resources. When working with federated data platforms, understand how PIDs are used within the platform and what governance rules apply.

Professional Escalation Criteria

When to Consult Repository Staff

If you are uncertain about the PID requirements for a specific repository, contact the repository staff before depositing data. Repository staff can clarify identifier policies, metadata requirements, and deposit procedures. This consultation is especially important for large or complex datasets.

When to Seek Institutional Support

If your research group lacks a consistent approach to PID selection, seek support from your institution's library, research data management office, or information technology department. These units can provide guidance, training, and infrastructure for PID management.

When to Escalate Technical Issues

If a PID fails to resolve, the metadata is incorrect, or the identifier is not recognized by a system where it should work, escalate the issue to the appropriate technical support. This may include the repository platform, the PID provider, or the system that is not recognizing the identifier. Document the issue and the steps you have taken to resolve it.

When to Reassess Your PID Strategy

Periodically reassess your PID strategy to ensure it remains appropriate for your research activities. Changes in repository requirements, funder policies, or community practices may necessitate adjustments. If you observe persistent problems with identifier resolution, metadata quality, or cross-system integration, review your approach and make necessary changes.

Frequently Asked Questions

What is the difference between a DOI and an accession number?

A DOI identifies a digital object such as a dataset or publication and is assigned by a registered DOI agency. An accession number is assigned by a specific database, such as NCBI, to identify a record within that database. DOIs are broadly recognized across publishing and repository systems, while accession numbers are specific to the database that assigns them and are the standard citation format within that database's community.

When should I use ORCID instead of a DOI?

ORCID identifies a researcher, while a DOI identifies a digital object. Use ORCID when you need to establish your identity as a researcher and link your various research outputs to your profile. Use a DOI when you need to identify a specific dataset or publication. These identifiers serve different purposes and are typically used together, with the ORCID iD linked to the DOI in metadata records.

How do I choose between ROR and other organization identifiers?

ROR provides a standardized registry of organization identifiers that is widely adopted across publishing and research infrastructure. If the organization you need to identify is in the ROR registry, use the ROR identifier. If the organization is not listed, you may need to use an alternative identifier or request that the organization be added to the registry.

What metadata should I include with a dataset DOI?

The metadata should include descriptive information about the dataset, including title, creators, publication date, publisher, and access information. For clinical research data, the metadata should also include study identification data and links to clinical trial registries. The DataCite standard provides a basis for metadata, with extensions for clinical research needs.

Can I assign a DOI to data deposited in a specialized database?

Specialized databases such as NCBI typically assign their own accession numbers instead of DOIs. If you deposit data in such a database, use the accession number as the identifier. Some repositories may assign DOIs to datasets that are also deposited in specialized databases, but the accession number remains the primary identifier within the database's ecosystem.

How do persistent identifiers support FAIR data principles?

Persistent identifiers support the findability and accessibility components of the FAIR principles by providing stable references that can be resolved to the identified object. The FAIR Guiding Principles emphasize that data should be findable, accessible, interoperable, and reusable. PIDs enable findability by providing unique references and support accessibility by resolving to landing pages with access information.

What should I do if a persistent identifier stops resolving?

If a persistent identifier stops resolving, first verify that the identifier value is correct and that you are using the proper resolution service. If the identifier still fails to resolve, contact the repository or PID provider to report the issue. Document the identifier, the date of the failure, and any error messages you observed.

How do I link my ORCID iD to my datasets?

When depositing data in a repository, include your ORCID iD in the metadata for the dataset. Many repository platforms provide fields for creator identifiers. You can also link your ORCID iD to your datasets through the ORCID record by adding the dataset DOI to your list of works. This creates a bidirectional link between your researcher profile and your research outputs.

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This article is educational and does not replace validated analysis plans, institutional policy, clinical interpretation, or specialist review.