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.
