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Searching for a Governance Model to manage and secure the data flow in organizations, as required by GDPR
Linnaeus University, Faculty of Technology, Department of Informatics. (System Thinking in Informatics)
Linnaeus University, Faculty of Technology, Department of Informatics. (System Thinking in Informatics)ORCID iD: 0000-0002-4437-8297
Linnaeus University, Faculty of Technology, Department of Informatics. (System Thinking in Informatics)
Linnaeus University, Faculty of Technology, Department of Informatics. (System Thinking in Informatics)ORCID iD: 0000-0002-3670-6537
2018 (English)In: Information System Research Seminar in Scandinavia, Aarhus University in Odder, Denmark, August 5th - 8th 2018, 2018Conference paper, Oral presentation only (Refereed)
Sustainable development
Not refering to any SDG
Abstract [en]

Since the end of the 1980s, there have been several initiatives to control and manage enterprise IT environments. ITIL is one of the more successful models, COBIT another, accompanied by others as British Petroleum’s OBASHI model. However, thanks to the IP protocol and Internet, since mid-2000 the world has seen a veritable data explosion, affecting IS governance, singular IS systems now integrated. Some recent predictions expect current data volumes to grow more than 10 times till 2020, with serious implications both on governance and IT security. Additionally, we see some new EU regulations, i.e., primarily the new General Data Protection Regulation (GDPR), implemented in May 2018. Something that directly affects the scope of IS governance within the European Union and for non-European entities handling EU Citizens’ personal data; with substantial fines if not complying. The regulation forces anyone handling personal data to consider information strategies that include big data management, IS governance, and information security as a convoluted context, not by themselves, a governance package. This creates a need for a paradigm shift to remediate/mitigate identified limitations in today’s traditional governance models. This paper discusses governance from a holistic and agile perspective, based on the overall data flow, as per the requirements of GDPR. Issues that were not envisioned when today’s IS governance models were designed or not even in their latest releases. 

Place, publisher, year, edition, pages
2018.
Keywords [en]
Agility, Data-flow, GDPR, IT Governance, Security
National Category
Information Systems
Research subject
Computer and Information Sciences Computer Science, Information Systems; Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-108605OAI: oai:DiVA.org:lnu-108605DiVA, id: diva2:1620377
Conference
Information System Research Seminar in Scandinavia, Aarhus University in Odder, Denmark, August 5th - 8th 2018
Note

This paper was presented at the IRIS41 Nordic conference in Informatics. The paper was a conference seminar discussion paper, under blind peer review and group discussions. Only 9 out of some 30 papers made the final compilation "SELECTED PAPERS OF THE IRIS, ISSUE NR 9 (2018)" by AIS. This paper was not selected, thus published via Diva.

Available from: 2021-12-15 Created: 2021-12-15 Last updated: 2021-12-23Bibliographically approved

Open Access in DiVA

Searching for a Governance Model to manage and secure the data flow in organizations, as required by GDPR.(421 kB)138 downloads
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File name FULLTEXT01.pdfFile size 421 kBChecksum SHA-512
bb538b0f85d805d6d30c736a33879f89e4f77b5d1cfca6c106c078228889dd62fd05439df0001c22a7d339b9d8b3f819c075179c8a4ab6991faea50cf94d2f82
Type fulltextMimetype application/pdf

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Magnusson, LarsIqbal, SarfrazElm, PatrikMirijamdotter, Anita

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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More styles
Language
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  • nn-NB
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Output format
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