TY  - CONF
A1  - Matzutt, Roman
A1  - Müllmann, Dirk
A1  - Zeissig, Eva-Maria
A1  - Horst, Christiane
A1  - Kasugai, Kai
A1  - Sean, Lidynia
A1  - Wieninger, Simon
A1  - Ziegeldorf, Jan Henrik
A1  - Gudergan, Gerhard
A1  - Spiecker gen. Döhmann, Indra
A1  - Wehrke, Klaus
A1  - Ziefle, Martina
A2  - Eibl, Maximilian
A2  - Gaedke, Martin
T1  - myneData: Towards a Trusted and User-controlled Ecosystem for Sharing Personal Data
T2  - Lecture Notes in Informatics (LNI)
N2  - Personal user data is collected and processed at large scale by a handful of big providers of Internet services. This is detrimental to users, who often do not understand the privacy implications of this data collection, as well as to small parties interested in gaining insights from this data pool, e.g., research groups or small and middle-sized enterprises. To remedy this situation, we propose a transparent and user-controlled data market in which users can directly and consensually share their personal data with interested parties for monetary compensation. We define a simple model for such an ecosystem and identify pressing challenges arising within this model with respect to the user and data processor demands, legal obligations, and technological limits. We propose myneData as a conceptual architecture for a trusted online platform to overcome these challenges. Our work provides an initial investigation of the resulting myneData ecosystem as a foundation to subsequently realize our envisioned data market via the myneData platform.
KW  - Privacy
KW  - Data Profiling
KW  - Privacy  Enhancing Technologies
KW  - Platform Design
KW  - Personal User Data
KW  - Personal Information Management
KW  - Data Protection Laws
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/3130
N1  - This work has been funded by the German Federal Ministry of Education and Research (BMBF) under funding reference numbers 16KIS0443 to 16KIS0447. The responsibility for the content of this publication lies with the authors.
CY  - Bonn
ER  -