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The COMET Model

The COMET Model proposes an evolution in metadata quality grounded in three fundamental shifts that align with the open science movement.
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Foundational principles

Collective stewardship

The COMET Model shifts the responsibility of metadata quality from individual depositors to a distributed community partnership. Crucially, this does not undermine source authority—it complements it. The model recognises that source authority and metadata quality are distinct. Research outputs are the product of many actors whose collective expertise should be empowered to produce a complete and accurate scholarly record.

Collective benefit

The COMET Model addresses the fragmented benefits that result when organisations tackle metadata problems in isolation. Independent fixes by universities, funders, and service providers solve local problems but result in duplicated improvements that never reach the authoritative source. The model provides a collective framework for these community-contributed improvements, structured as open, machine-actionable assertions, to flow back to authoritative sources.

Trust through transparency

Traditional PID workflows root trust in the identity of the registrant; the COMET Model extends this by establishing trust in open processes that are rigorous and evidence-based. COMET’s enrichments are supported by traceable provenance documentation and publicly shared evaluative frameworks, providing a robust foundation for trustworthy community contributions to the open scholarly record.

Comet Model Diagram v1

The COMET Model

Diagram showing a closed padlock with one person evolving to an open padlock with four people, representing collaborative metadata stewardship
The COMET Model evolves metadata stewardship from a closed and internally focused practice to an open and shared practice that benefits the entire community.
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Key elements

COMET puts these principles into action by prioritising four key elements:

Unite quality metadata curation assets

The COMET Model confronts one of the most persistent inefficiencies in scholarly communications: valuable, high-quality curation in isolated systems never reaches the wider community. From institutionally verified datasets to proven, scalable enrichment methods—the COMET community brings these assets together, unlocking their collective value.

Where gaps remain, the COMET organisers act as facilitators, developing innovative capabilities with community partners. The goal is to connect solutions across institutional and geographical boundaries to maximise the value of community investments.

Target diverse research outputs and stakeholders

Inclusive design produces solutions that reflect genuine community needs. The COMET Model addresses metadata quality gaps across research outputs, from datasets and software to posters and articles, ensuring solutions benefit a wide range of stakeholders, such as research institutions, libraries, publishers, and funders.

Enable multiple round-tripping pathways

The COMET community sees successful round-tripping as enrichments flowing back into the systems that maintain and disseminate scholarly metadata. Achieving this requires multiple, complementary pathways. For example, PID-first pathways, such as direct integration with DOI registration agencies, are crucial because they prevent improvements from fragmenting across the ecosystem, while platform-supported pathways, such as connections with submission and publishing systems, offer opportunities to improve metadata as part of communities’ existing workflows.

Treat metadata fields as product features

Inspired by software development that makes systematic progress possible, the COMET Model treats each metadata field as a discrete, improvable feature, enabling focused problem-solving and measurable progress. Each project the COMET community undertakes focuses on a single metadata field, producing improvements that can be implemented at scale.

COMET prioritises the following use cases:

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Use caseMetadata fields
Name and describe research outputsTitle; Work/Resource Type; Language
Identify and connect people associated with research outputsAuthor/Creator; Contributor
Identify and connect organisations associated with research outputsAffiliation; Funder/Funding
Identify and connect related research outputsReferences; Related Identifiers
Identify access policies associated with research outputsLicense/Rights