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Introduction to anonymisation techniques for social sciences research data

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Dates:11 June 2024
Times:10:00 - 11:30
What is it:Workshop
Organiser:Cathie Marsh Institute for Social Research
How much:Free
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  • By Cathie Marsh Institute for Social Research

Researchers are often at a crossroads on how to share data collected from human participants ethically while complying with the rigorous standards set by UK General Data Protection Regulation and the Data Protection Act. Whether you're looking to refine your data management strategy or ensure your research practices are in strict alignment with the UK legislation, this event will provide you with a solid foundation in the principles and practicalities of data anonymisation.

This session is designed to equip researchers with the essential knowledge and skills to navigate the complexities of data anonymisation. From survey data to transcript data and audio/visual materials researchers must have a keen eye on safeguarding privacy. We will cover key concepts as defined by applicable data protection legislation and outlined by the Information Commissioner's Office (ICO) guidance, from definitions of personal data to identifiability and effective anonymisation.

During this free 90-minute online workshop, participants will learn the nuances of de-identification versus anonymisation techniques, how to differentiate between directly identifying information and indirect identifiers and how to best handle special category data, with the view of sharing data ethically and legally.

The workshop will conclude with a dedicated Q&A session.

Presenters: Maureen Haaker and Cristina Magder

Level: Introductory

Experience/knowledge required: Basic understanding of research methods in the social sciences and of data protection legislation are recommended but not required.

Target audience: Academic and non-academic data professionals such as researchers, data managers, data stewards and others involved in collecting data, or managing datasets for wider sharing and re-use.

Price: Free

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Emma Green

emma.green-3@manchester.ac.uk

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