National statistical offices as emerging trusted intermediaries in data governance

Oecd

No 378, OECD Digital Economy Papers from OECD Publishing

Abstract: The growing demand for high-quality data to inform policy and to enable trustworthy artificial intelligence has increased the relevance of trusted data intermediaries (TDIs). National statistical offices (NSOs) are uniquely positioned to serve as TDIs, given their mandates and public trust. This paper examines practices across 16 NSOs and finds that many are expanding beyond their traditional remit to facilitate data sharing among public administrations, researchers and, in some cases, private actors. These institutions employ robust confidentiality and privacy safeguards, adopt privacy enhancing technologies (PETs) and operate secure research environments. Oversight mechanisms, trust building and adequate resources are essential for NSOs to succeed in this evolving role. The analysis highlights the importance of NSOs as emerging actors within data ecosystems to support both evidence-based policymaking and the responsible development of AI. It also underscores the need for additional resources and support to ensure NSOs can undertake these expanding roles.

Keywords: data governance; data intermerdiaries; national statistical offices (search for similar items in EconPapers)
Date: 2025-09-10
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oec:stiaab:378-en

Access Statistics for this paper

More papers in OECD Digital Economy Papers from OECD Publishing Contact information at EDIRC.
Bibliographic data for series maintained by ().