http://dl.gi.de/handle/20.500.12116/41473 Thu, 23 Jul 2026 21:45:49 GMT 2026-07-23T21:45:49Z http://dl.gi.de/handle/20.500.12116/41489 Personal data management inside and out Labadie, Clément; Legner, Christine Personal data is increasingly positioned as a valuable asset. While individuals generate and expose ever-expanding volumes of personal information online, certain tech companies have built their business models on the personal data they gather. In this context, lawmakers are revising data protection regulations in order to provide individuals with enhanced rights and set new rules regarding the way corporations collect, manage, and share personal information. We argue that recent data protection regulatory frameworks such as the European Union’s General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA) are fundamentally about data management. Yet, there have been no attempts to analyze the regulations in terms of their implications on the data life cycle. In this paper, we systematically analyze the GDPR and the CCPA, and identify their implications on the data life cycle. To synthesize our findings, we propose a semi-formal notation of the resulting changes on the personal data life cycle, in the form of a process and data model governed by business rules, consolidated in a reference personal data life cycle model for data protection. To the best of our knowledge, this study represents one of the first attempts to provide a data-centric view on data protection regulatory requirements. Wed, 01 Jan 2020 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/41489 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/41488 Trust and Privacy in Process Analytics Mannhardt, Felix; Koschmider, Agnes; Biermann, Lars; Lange, Jana; Tschorsch, Florian; Wynn, Moe Thandar This paper summarizes the panel discussion at the 1st Workshop on Trust and Privacy in Process Analytics (TPPA) co-located with the 2nd International Conference on Process Mining. The panel discussed to what extend trust and privacy is embedded in applications of process mining and took place on 5th October 2020. The virtual session was chaired by Felix Mannhardt and Agnes Koschmider and the invited panelists were Moe Wynn, Jana Lange, Lars Biermann and Florian Tschorsch. The major challenges that this panel identified related to privacy-preserving process mining are to include (user-centric) privacy filters, understanding the privacy-utility trade-off and to link privacy-preserving techniques with dataset quality. Wed, 01 Jan 2020 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/41488 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/41487 Towards Privacy Preservation and Data Protection in Information System Design Koschmider, Agnes; Michael, Judith; Baracaldo, Nathalie This paper serves as an editorial to the corresponding special issue setting out solutions and future directions of privacy preservation and data protection in information system design. Wed, 01 Jan 2020 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/41487 2020-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/41485 The MobIS-Challenge 2019 Baier, Stephan; Dunzer, Sebastian; Fettke,; Houy, Constantin; Matzner, Martin; Pfeiffer, Peter; Rehse, Jana-Rebecca; Scheid, Martin; Stephan, Sebastian; Stierle, Matthias; Willems, Brian Information systems (IS) can significantly support the organization of business processes. However, the proceeding digitalization of processes can also lead to an increasing organizational complexity and the need to more intensely investigate the adherence to external or internal compliance rules. Process-related data from IS and underlying process models can, however, also contribute to an effective compliance checking. This paper summarizes the motivation, the setup, the data set and the results of the 2019 MobIS-Challenge which was conducted as a workshop at WI 2019 in Siegen, Germany. Results submitted to the challenge are presented in detail and directions for future work are discussed. Wed, 01 Jan 2020 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/41485 2020-01-01T00:00:00Z