Big Data and Analytics in the Age of the GDPR

Piero A. Bonatti; Sabrina Kirrane

Big Data and Analytics in the Age of the GDPR

Piero A. Bonatti, Sabrina Kirrane

Institute for Data, Process and Knowledge Management (AE Polleres)

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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Abstract

The new European General Data Protection Regulation places stringent restrictions on the processing of personally identifiable data. The GDPR does not only affect European companies, as the regulation applies to all the organizations that track or provide services to European citizens. Free exploratory data analysis is permitted only on anonymous data, at the cost of some legal risks.We argue that for the other kinds of personal data processing, the most flexible and safe legal basis is explicit consent. We illustrate the approach to consent management and compliance with the GDPR being developed by the European H2020 project SPECIAL, and highlight some related big data aspects.

Original language	English
Title of host publication	Proceedings of the IEEE World Congress on Services (IEEE SERVICES 2019)
Editors	na
Place of Publication	Italy
Number of pages	11
Publication status	Published - 2019

Austrian Classification of Fields of Science and Technology (ÖFOS)

102
102015 Information systems
502050 Business informatics
505002 Data protection

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IEEE-Services-19-SPECIALAccepted author manuscript, 257 KBLicence: Other

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University Library Catalogue

SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance
Kirrane, S., Drozd, O., Fernandez Garcia, J. D., Havur, G., Polleres, A. & Spiekermann-Hoff, S.
1/01/17 → 31/12/19
Project: Research funding

Cite this

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title = "Big Data and Analytics in the Age of the GDPR",

abstract = "The new European General Data Protection Regulation places stringent restrictions on the processing of personally identifiable data. The GDPR does not only affect European companies, as the regulation applies to all the organizations that track or provide services to European citizens. Free exploratory data analysis is permitted only on anonymous data, at the cost of some legal risks.We argue that for the other kinds of personal data processing, the most flexible and safe legal basis is explicit consent. We illustrate the approach to consent management and compliance with the GDPR being developed by the European H2020 project SPECIAL, and highlight some related big data aspects.",

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N2 - The new European General Data Protection Regulation places stringent restrictions on the processing of personally identifiable data. The GDPR does not only affect European companies, as the regulation applies to all the organizations that track or provide services to European citizens. Free exploratory data analysis is permitted only on anonymous data, at the cost of some legal risks.We argue that for the other kinds of personal data processing, the most flexible and safe legal basis is explicit consent. We illustrate the approach to consent management and compliance with the GDPR being developed by the European H2020 project SPECIAL, and highlight some related big data aspects.

AB - The new European General Data Protection Regulation places stringent restrictions on the processing of personally identifiable data. The GDPR does not only affect European companies, as the regulation applies to all the organizations that track or provide services to European citizens. Free exploratory data analysis is permitted only on anonymous data, at the cost of some legal risks.We argue that for the other kinds of personal data processing, the most flexible and safe legal basis is explicit consent. We illustrate the approach to consent management and compliance with the GDPR being developed by the European H2020 project SPECIAL, and highlight some related big data aspects.

M3 - Contribution to conference proceedings

BT - Proceedings of the IEEE World Congress on Services (IEEE SERVICES 2019)

A2 - na, null

CY - Italy

ER -

Big Data and Analytics in the Age of the GDPR

Abstract

Austrian Classification of Fields of Science and Technology (ÖFOS)

Access to Document

Check availability

Projects

SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance

Cite this