engleski

Computing the Intelligent Privacy-Engineered Organization: A Metamodel of Effective Information Transparency Enhancing Tools/Technologies

In information privacy research, privacy is described as a set of system properties. Such properties are formalized as technical functionalities in ensuring data subjects' rights in knowing what data is being collected and processed about them and is had control over. To ensure them, Transparency Enhancing Tools/Technologies (TETs) are used to enhance understanding and visibility of procedures, practices and consequences of personal data processing at data processors. As a combination of technological and organizational solutions or methods their goals can be perceived as privacy, as well as software engineering prerequisite. Since the principles of data privacy are the subject of numerous international documents from the 1970s, with different levels of abstraction, methods of goal-based reasoning can be applied in their requirement analysis. By using identification, classification and modelling heuristics of the Goal-Based Requirement Analysis Method, requirements for effective TETs are systemized across momentous Data Privacy Governance Frameworks. The synthesis made of relevant transparency goals can serve as a precondition for computing intelligent privacy organizational environments.

Computing ; Intelligent Privacy ; Metamodel ; Information Transparency

Rad je napisan u koautorstvu doktorand (Marta Alić, Filozofski fakultet Sveučilišta u Zagrebu) i mentor (Ljerka Luić) iz područja obranjene teme doktorskog rada "Model vrjednovanja informacijske transparentnosti politika privatnosti".