Trustworthiness: What influences perceived trustworthiness of statistics or data being used as evidence, and how can those across the statistical system increase it? To what degree do people trust official statistics or other data used as evidence, and how much do perceptions of trustworthiness influence 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

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    Trusted Research Environments (TREs) play a vital role in enabling researchers to analyse confidential data such as health records then report findings. The Five-Safes Framework is used to ensure data confidentiality and...

    Funded by: MRC

    Lead research organisation: University of the West of England

    Why might this be relevant?

    The project partially addresses the question as it works on enhancing trust in data through the Five-Safes Framework and public engagement, but it does not directly address the factors influencing perceived trustworthiness of statistics or data.

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