Think Trustworthiness, Quality and Value! How the Code of Practice for Statistics supports analysts to use data in a way that builds public confidence

ObjectivesThis presentation will show how the Code of Practice for Statistics, developed and maintained by the Office for Statistics Regulation (OSR), is relevant to anyone working with data, helping them to work in ways that support public confidence in analysis. MethodsThe Code of Practice for Statistics encourages and supports data sharing and linkage, in a secure way, to maximise the value of data for the public good. It provides a framework for tackling tough questions like: How do I navigate the demands of ethical practices and data governance? How do I balance conducting research with involving and engaging the public? How do I weigh up meeting research goals with serving the public good? ResultsBy using a Think TQV approach – applying the Code framework of Trustworthiness, Quality and Value to your practice – you can work out the appropriate way forward. Trustworthiness helps you work with integrity, building in transparency and ensuring you are accountable, particularly in the ways you handle and share data. Quality challenges you to ensure your data and methods are suitable, respondent-centric and inclusive, and assured. Value prompts you to be active and open in engaging and involving stakeholders and public members in your work, to be responsive to what you hear and to ensure the value of data are maximised. ConclusionAll analysts can benefit from applying the Code when working with data. Thinking TQV supports you to improve your practice: to work ethically, to ensure good governance, and to build a fuller insight of how research will serve the public good by involving and engaging the public and other stakeholders.

Authors

Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3237
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Think Trustworthiness, Quality and Value! How the Code of Practice for Statistics supports analysts to use data in a way that builds public confidence

P. Babb, Helen Miller-Bakewell
International Journal for Population Data Science
Statistics Education and Methodologies
article

Think Trustworthiness, Quality and Value! How the Code of Practice for Statistics supports analysts to use data in a way that builds public confidence

P. Babb, Helen Miller-Bakewell
article en

Abstract

ObjectivesThis presentation will show how the Code of Practice for Statistics, developed and maintained by the Office for Statistics Regulation (OSR), is relevant to anyone working with data, helping them to work in ways that support public confidence in analysis. MethodsThe Code of Practice for Statistics encourages and supports data sharing and linkage, in a secure way, to maximise the value of data for the public good. It provides a framework for tackling tough questions like: How do I navigate the demands of ethical practices and data governance? How do I balance conducting research with involving and engaging the public? How do I weigh up meeting research goals with serving the public good? ResultsBy using a Think TQV approach – applying the Code framework of Trustworthiness, Quality and Value to your practice – you can work out the appropriate way forward. Trustworthiness helps you work with integrity, building in transparency and ensuring you are accountable, particularly in the ways you handle and share data. Quality challenges you to ensure your data and methods are suitable, respondent-centric and inclusive, and assured. Value prompts you to be active and open in engaging and involving stakeholders and public members in your work, to be responsive to what you hear and to ensure the value of data are maximised. ConclusionAll analysts can benefit from applying the Code when working with data. Thinking TQV supports you to improve your practice: to work ethically, to ensure good governance, and to build a fuller insight of how research will serve the public good by involving and engaging the public and other stakeholders.

International Journal for Population Data ScienceVol. 10(4)
Openalex Percentile: Top 78%
Statistics Education and Methodologies
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Think Trustworthiness, Quality and Value! How the Code of Practice for Statistics supports analysts to use data in a way that builds public confidence — P. Babb, Helen Miller-Bakewell · International Journal for Population Data Science (2025) | TGRS Research Map | TGRS