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  • Small counts/ frequencies: a cell minimum threshold of 5 will be expected; solutions include-

    • suppressing (or redacting) small numbers to <5

    • rounding values

    • redesigning outputs so that cells are combined, for example reducing SIMD quintile to SIMD decile.

  • Single figures: If outputting these are individual level data that relates specifically to one person. We will check for this in tables and reports, but also in graphs for example, we will check the risk of any outliers or single points being identifiable.

  • Artificial Intelligence (AI)/ Machine Learning (ML) methdologies have a difference process and we continue to develop the critieria for disclosure of these project models, including-

    • AI/ML Triage Form (processed at the start of the project)triage form

    • Model Attack Report

    • Model Risk Assessment questionnaire

    • Other information governance paperwork such as the Data Protection Impact Assessment (DPIA), any contractual agreements (where an external 3rd party is involved), and the ethics and transparency of the TRE user making the request.

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Info

This article used the developing UK TRE glossary, which includes DARE UK Drive Projects (2023) and the DataMind glossary at the HDR-UK Hub, which are openly available here, and the Statistical Disclosure Handbook

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For queries or comments regarding HIC How To Articles contact, HICSupport@dundee.ac.uk

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