Type

Conference Proceedings

Authors

Plamen Petkov
Harshvardhan Jitendra Pandit
David Lewis
Declan O'Sullivan

Subjects

Environment

Topics
digital engagement value chain knowledge and data engineering european data availability gdpr data value data protection

Investigating Conditional Data Value Under GDPR (2018)

Abstract The calculation of data value is based on the assumption of continued presence of information. When the data in consideration concerns personal information, laws such as the European General Data Protection Regulation (GDPR) affect how this data can be exploited. Under the GDPR, data must be used on the basis of explicit consent, which can be withdrawn at any time by the concerned data subject. This posits that personal data dependant on consent can not be used after the consent is withdrawn. The data value associated with such personal data will also change with such a change in consent. This position paper explores the change in data value for personal data under the GDPR. The paper analyses the obligations and conditions provided by the GDPR for data usage and how they affect the data value chain. This is then used to identify potential approaches towards effective utilisation of available data through techniques such as aggregation and anonymisation. Finally, the paper proposes a method for investigating conditional data value by incorporating data existence and availability as a metric.
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Full list of authors on original publication

Plamen Petkov, Harshvardhan Jitendra Pandit, David Lewis, Declan O'Sullivan

Experts in our system

1
Harshvardhan Jitendra Pandit
Trinity College Dublin
Total Publications: 29
 
2
David Lewis
Trinity College Dublin
Total Publications: 86
 
3
Declan O'Sullivan
Trinity College Dublin
Total Publications: 93