Draft:Open Data Product Specification

Submission declined on 6 June 2025 by Rambley (talk).

This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:

in-depth (not just passing mentions about the subject)
reliable
secondary
independent of the subject

Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.

Your draft shows signs of having been generated by a large language model, such as ChatGPT. Their outputs usually have multiple issues that prevent them from meeting our guidelines on writing articles. These include:

Promotional tone, editorializing and other words to watch
Vague, generic, and speculative statements extrapolated from similar subjects
Essay-like writing
Hallucinations (plausible-sounding, but false information) and non-existent references
Close paraphrasing

Please address these issues. The best way to do it is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.

If you would like to continue working on the submission, click on the "Edit" tab at the top of the window.
If you have not resolved the issues listed above, your draft will be declined again and potentially deleted.
If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors.
Please do not remove reviewer comments or this notice until the submission is accepted.

Where to get help

If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews.
If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed.

How to improve a draft

Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia.
Help:Wikitext – how to use the markup
Help:Referencing for beginners – how to include references
Wikipedia:Article development – how to develop your article
Wikipedia:Writing better articles – how to improve your article
Wikipedia:Verifiability – make sure your article includes reliable third-party sources

You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article.

Improving your odds of a speedy review

To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags.

Add tags to your draft

Editor resources

Easy tools: Citation bot (help) | Advanced: Fix bare URLs

Declined by Rambley 2 seconds ago. Last edited by Rambley 2 seconds ago. Reviewer: Inform author.

Resubmit

Please note that if the issues are not fixed, the draft will be declined again.

The Open Data Product Specification (ODPS) is an open-source, vendor-neutral standard designed to define, describe, and govern data products in a structured, machine-readable format. It provides a declarative YAML-based approach for representing data products with key components such as metadata, service-level objectives (SLOs), licensing, quality metrics, and monetization logic. ODPS is maintained under the Linux Foundation and is used by public and private sector organizations for managing reusable and trustworthy data products.

Origin and Development

ODPS was first publicly introduced on December 2, 2021, with an initial commit to GitHub by Jarkko Moilanen, marking the formal birth of the term "Open Data Product Specification" as part of an open-source initiative focused on standardizing data product descriptions.^[1]

The first official version, v1.0, was published in February 2022, establishing the foundational schema and conceptual model for data product governance. Since then, ODPS has undergone multiple iterations and matured into a widely adopted specification supported by a community of contributors, users, and ecosystem vendors.

Key Features

Declarative and modular: ODPS enables the definition of composable and reusable components for data contracts, service levels, data quality rules, licensing, and access models.
Standards integration: ODPS incorporates and extends other open standards, including:
- OpenSLO for expressing service-level objectives
- Soda Core for declarative data quality monitoring
- schema.org and Creative Commons for metadata and licensing
- SBOM-style metadata for component dependency tracking
Everything-as-Code: ODPS emphasizes automation, enabling version-controlled specifications and integrations with data catalogs, APIs, and AI agents.

Adoption and Ecosystem

ODPS has been adopted by organizations across domains:

NATO: Included ODPS v3.0 in its Data Centric Reference Architecture (DCRA), supporting implementation of the Data-as-a-Product principle.^[2]
BASF: Uses ODPS internally to structure and govern data products.^[3]
Alation: Integrates ODPS in its AI-powered Data Products Builder Agent.^[4]
FIWARE: Adopted ODPS as part of its smart city and IoT ecosystem architecture.^[3]

Community and Governance

ODPS is governed by a Technical Steering Committee (TSC) under the Linux Foundation. Development is coordinated openly on GitHub. Quarterly public TSC meetings guide the roadmap, which includes efforts in AI-readiness, agent-based interoperability, and pricing automation.^[5]

Versions

v1.0 (2022): Initial public version introducing the base structure.
v2.0 (2023): Added Data Quality object.
v2.1 (2023): Added pricing plans, SLOs, and DataOps features.
v3.0 (2024): Major release with "everything-as-code" governance.
v4.0 (under development): Focused on modularity, extensibility, and semantic versioning.

References

^ "Initial Commit: Open Data Product Specification". GitHub. 2021-12-02. Retrieved 2025-06-06.
^ "Data Centric Reference Architecture for the Alliance". Retrieved 2025-06-06.
^ ^a ^b "ODPS on the Rise: The Open Data Product Specification Sets Course for Linux Foundation Incubation". 2024-12-18. Retrieved 2025-06-06.
^ "Alation: Data Products Builder Agent". Retrieved 2025-06-06.
^ "Future of Data Products: Join the ODPS TSC Meeting". Retrieved 2025-06-06.

[initialcommit-1] "Initial Commit: Open Data Product Specification". GitHub. 2021-12-02. Retrieved 2025-06-06.

[nato-2] "Data Centric Reference Architecture for the Alliance". Retrieved 2025-06-06.

[odpsrise-3] "ODPS on the Rise: The Open Data Product Specification Sets Course for Linux Foundation Incubation". 2024-12-18. Retrieved 2025-06-06.

[alation-4] "Alation: Data Products Builder Agent". Retrieved 2025-06-06.

[tsc-5] "Future of Data Products: Join the ODPS TSC Meeting". Retrieved 2025-06-06.

[1]

[2]

[3]

[4]

[5]