personal data and transparency by reuben binns

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1 Personal Data and Transparency Reuben Binns, PhD Web Science Every day, web users give away information such as likes and dislikes, purchase histories, messages, emails, tweets, GPS co-ordinates, browsing habits and search terms. Many people now track their daily activity, health and diet via the web. When combined, such data constitutes a rich digital profile of our lives. Mining and analysing this data can reveal a lot for marketers, researchers and individuals themselves. Background Supervisors: Lisa Harris, Management David Millard, Computer Science Micheál O'Floinn, Law [email protected], @RDBinns Web Science Data about the ways organisations use personal data was collected from the ICO over a 3 year period. It covers over 350,000 data controllers. We used this to investigate the reasons for data collection, the types of personal data collected and from whom, the types of recipients who have access to the data, and international data transfer arrangements. This paints an overall picture of the personal data landscape in the UK. Who, what, where and why? Machine-readable reports on privacy practices can support transparency and broader social goals: Powering intermediary services to provide advice to privacy-conscious individuals. Helping data protection regulators discover good and bad practices. Cross-referenced with other data to examine the relationship between privacy practices and other factors such as location, growth or industry. Applications

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Every day, web users give away information such as likes and dislikes, purchase histories, messages, emails, tweets, GPS co-ordinates, browsing habits and search terms. Many people now track their daily activity, health and diet via the web. !hen combined, such data constitutes a rich digital profile of our lives. Mining and analysing this data can reveal a lot for marketers, researchers and individuals themselves.

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Page 1: Personal Data and Transparency by Reuben Binns

1

Personal Data and TransparencyReuben Binns, PhD Web Science

Every day, web users give away information such as likes and dislikes, purchase histories, messages, emails, tweets, GPS co­ordinates,

browsing habits and search terms. Many people now track their daily activity, health and diet via

the web.

When combined, such data constitutes a rich digital profile of our lives. Mining and analysing

this data can reveal a lot for marketers, researchers and individuals themselves.

Background

Supervisors:Lisa Harris, ManagementDavid Millard, Computer ScienceMicheál O'Floinn, Law

[email protected], @RDBinns

Web Science

Data about the ways organisations use personal data was collected from the ICO over a 3 year period. It covers over 350,000 data controllers.

We used this to investigate the reasons for data collection, the types of personal data collected and from whom, the types of recipients who have access to the data, and international data transfer arrangements. This paints an overall picture of the personal data landscape in the UK.

Who, what, where and why?

Machine­readable reports on privacy practices can support transparency and broader social

goals:

Powering intermediary services to provide advice to privacy­conscious individuals.

Helping data protection regulators discover good and bad practices.

Cross­referenced with other data to examine the relationship between privacy practices and other

factors such as location, growth or industry.

Applications