Abstract | ||
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It is well understood that processing personal data without effective data management models may lead to privacy violations. Such concerns have motivated the development of privacy-aware practices and systems, as well as legal frameworks and standards. However, there is a disconnect between policy-makers and software engineers with respect to the meaning of privacy. In addition, it is challenging: to establish that a system underlying business processes complies with its privacy requirements; to provide technical assurances; and to meet data subjects' expectations. We propose an abstract personal data lifecycle (APDL) model to support the management and traceability of personal data. The APDL model represents data-processing activities in a way that is amenable to analysis. As well as facilitating the identification of potentially harmful data-processing activities, it has the potential to demonstrate compliance with legal frameworks and standards. |
Year | DOI | Venue |
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2017 | 10.1007/978-3-319-74030-0_55 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
Data privacy,Data lifecycle model,Privacy-aware data processing,Compliance demonstration | Business process,Computer science,Knowledge management,Software,Lifecycle model,Information privacy,Data management,Traceability,Process management | Conference |
Volume | ISSN | Citations |
308 | 1865-1348 | 1 |
PageRank | References | Authors |
0.38 | 4 | 2 |
Name | Order | Citations | PageRank |
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Majed Alshammari | 1 | 8 | 1.94 |
Andrew Simpson | 2 | 282 | 49.37 |