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{{update|date=February 2021}}
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The '''Open Contracting Data Standard''' is a standards development initiative issued by the [[Omidyar Network]] and the [[World Bank]] which commenced in November 2014. It sets out the key documents and data which should be published at each stage of the process of letting a contract for the [[Government procurement|procurement]] of goods and services for the [[public sector]]. Adoption of the standard requires publishers to release data under an open license, because "publishing data under an open license is an important part of open contracting. Without this, restrictions on re-use can prevent many of the important use cases for open contracting information being realized."<ref>[http://standard.open-contracting.org/latest/en/implementation/licensing/?highlight=license Open Contracting Data Standard: Publish], text reproduced under [[Apache License, Version 2.0]], accessed 6 February 2021. Original states that "publishing data under an open {{sic|licenses}} is ..."</ref> Publishers are encouraged to use a scale of publishing complexity, from basic which features just tender notices, to advanced and extended data, which features contract award notices, contract details and persistent URIs.<ref name="auto">{{Cite web|url=
The Open Contracting Partnership, a not for profit organisation promoting openness in contracting, argues that the use of the standard will reduce costs,<ref>{{Cite web|url=https://openopps.com/blog/post/21/why-good-procurement-data-does-more-than-fight-corruption/|title = Blog - Why good procurement data does more than fight corruption| date=12 August 2016 }}</ref> create more competitive contracting, and prevent fraud and [[corruption]].<ref
==Origins==
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Private sector companies using the standard:
* [https://OpenOpps.com OpenOpps.com].<ref>{{Cite web | title=About - never miss an opportunity | url=https://openopps.com/about/#faqs | archive-url=https://web.archive.org/web/20160918043514/https://openopps.com/about/ | access-date=2025-04-27 | archive-date=2016-09-18}}</ref>
* [https://ocdsanalytics.com/ OCDS Analytics].<ref>{{Cite news|url=https://ocdsanalytics.com/blog/integrations-prozorro-ai.html|title=AI integrations - Prozorro_AI library|newspaper=Ocds Analytics Saas }}</ref>
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==External links==
==References==
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