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Enterprise architecture frameworks as support for implementation of regulations: Approach and experiences from GDPR
Rostock University, Rostock, Germany.
Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Rostock University, Rostock, Germany.ORCID iD: 0000-0002-7431-8412
SPC RAS, St. Petersburg, Russia.
SPC RAS, St. Petersburg, Russia.
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2020 (English)In: Complex Systems Informatics and Modeling Quarterly, E-ISSN 2255-9922, no 24, p. 31-48, article id 140Article in journal (Refereed) Published
Abstract [en]

Enterprise Architecture (EA) management has been discussed as being supportive for implementation of regulations in enterprises and organizations, but the role of EA frameworks in this context has not been addressed intensely. The EU General Data Protection Regulation (GDPR) is one of the most frequently discussed regulation in industry and research, and expected to cause a shift in viewpoint of enterprises from a technological perspective dominated by information security issues to an organizational perspective governed by GDPR-compliant organizational structures and processes. A well-documented Enterprise Architecture (EA) and a working Enterprise Architecture Management (EAM) organization are expected to significantly ease the roadmap planning for GDPR implementation. Therefore, this article focuses on the practice of EA use for GDPR implementation. The main contributions of this article are (a) an analysis and comparison of existing architecture frameworks and how they address security-related issues, and (b) a case study from financial industries illustrating the use of EA for implementing GDPR compliance.

Place, publisher, year, edition, pages
Riga Technical University , 2020. no 24, p. 31-48, article id 140
Keywords [en]
GDPR; Enterprise Architecture; Enterprise Architecture Framework; Security; Security Architecture Frameworks
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hj:diva-50966DOI: 10.7250/csimq.2020-24.03Local ID: POA JTH 2020;JTHDatateknikISOAI: oai:DiVA.org:hj-50966DiVA, id: diva2:1500268
Available from: 2020-11-11 Created: 2020-11-11 Last updated: 2020-11-11Bibliographically approved

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Sandkuhl, Kurt

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