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In this response from ADR UK regarding the ICO call for views: anonymisation, pseudonymisation and privacy enhancing technologies guidance, we have discussed the complexity of anonymisation, the uses of functional anonymisation, and the relations to other guidance.
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The ADR UK partnership has responded to the NDS ‘Data: a new direction’ consultation. We discussed the importance of public engagement, of discussing the public good arising from data linkage, and the importance of functional anonymization.
The new ADR UK Training and Capacity Building Strategy sets out five routes to help researchers to understand the potential of administrative data, to help them to access it and to train them to use it.
As a result of the Covid-19 pandemic, the need for rapid analysis based on trustworthy data to be able to plan and forecast had never been greater. The Office for National Statistics (ONS) and its partners have led the way in making high-quality data available for critical analysis through the ONS Secure Research Service (SRS).
In our third year of operation, we have continued to strengthen partnerships between academia and government, reached several important milestones with our projects, and secured funding to continue our work on data linkage until 2026. Read our 2020-21 Annual Report to find out more.
The cross-partnership Public Engagement Strategy for 2021-26, detailing ADR UK's vision, objectives and principles for public engagement, as well as key activities.
The findings of an evaluation of the Local Data Spaces pilot study, including key recommendations for further support for local authorities to access local-level data and analysis to inform decision making.
Terms of Reference for the Wage & Employment Dynamics (WED) Public Engagement Strategy Group (June 2021), which works with the WED team to represent the interests of those involved in the work force in Britain
The ADR UK partnership has responded to the second government consultation on the UK National Data Strategy.
This is the first policy paper by researchers from the Wage & Employment Dynamics project. It explores the use of the the Annual Survey of Hours and Earnings (ASHE) 2004-2019 dataset to determine time-series estimates of the percentage of minimum wage jobs, low paid and ‘high paid’ jobs. This paper was presented to the Low Pay Commission.
