Value: Building on the work of others, how should we understand and measure the value of statistics and data used as evidence, and what influences this?


OSR’s regulatory work revolves around the Code of Practice for Statistics (the Code), where we set the standards that producers of official statistics should commit to. The Code itself rests on three pillars: trustworthiness, quality, and value. To continue increasing our capability as a regulator, we are constantly seeking to grow our understanding of what these pillars mean and how they can be supported.

When creating the Code our perspective was informed by research, such as by the work of Onora O’Neill who has highlighted how for an organisation (or a statistic) to be trusted it must first be trustworthy. Since then, we have continued to engage with relevant research, such as the United Nations Economic Commission for Europe (UNECE) on its exploration of value and how the value of official statistics might be measured. Going forward, we intend to continue to consolidate and expand on this valuable research, drawing on knowledge both specific to the statistical system and more broadly. We want our advice, guidance, and regulatory work to be evidence-based and pragmatic, to best support statistics producers and users.

Next steps

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This question was published as part of the set of ARIs in this document:

Produced Office for Statistics Regulations Areas of Research Interest Office for Statistics Regulation

Related UKRI funded projects

  • improving Reproducibility In SciencE (iRISE)

    Structured understanding of the drivers of irreproducibility and presenting concrete solutions of tools and interventions will help to increase the quality, reliability and re-usability of scientific evidence. To this en...

    Funded by: Horizon Europe Guarantee

    Lead research organisation: LONDON SCHOOL OF ECONOMICS & POL SCI

    Why might this be relevant?

    The project focuses on improving reproducibility in science, which is related to understanding and measuring the value of statistics and data used as evidence.

Similar ARIs from other organisations