Personal data management: an abstract personal data lifecycle model
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-m...
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Springer, Cham
2018
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| Izvleček: | 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. |
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