TY - GEN
T1 - Data governance on ea information assets
T2 - 2nd International Workshop on Advances in Services Design based on the Notion of Capabiliy, ASDENCA 2015, 3rd International Workshop on Cognitive Aspects of Information Systems Engineering, COGNISE 2015, 1st International Workshop on Digital Business Innovation and the Future Enterprise Information Systems Engineering, DiFenSE 2015, 1st International Workshop on Enterprise Modeling, EM 2015, 1st Workshop on the Role of Real-World Objects in Business Process Management Systems, RW-BPMS 2015, 10th International Workshop on Trends in Enterprise Architecture Researc, TEAR 2015 and 5th International Workshop on Information Systems Security Engineering, WISSE 2015 held in conjunction with 27th International Conference on Advanced Information Systems Engineering, CAiSE 2015
AU - Waltl, Bernhard
AU - Reschenhofer, Thomas
AU - Matthes, Florian
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Today’s companies face increased pressure regarding compliance to legal obligations. Regulations for the financial sector such as Basel II and III, Solvency II, or the Sarbanes-Oxley-Act explicitly demand various requirements. Many of those requirements address the governance and management of information assets, such as data. Companies need to report and track their information architecture, and furthermore have to provide accountability and responsibility information on their data to, e.g., supervisory authorities. Additionally, the tracking of processed data becomes increasingly difficult since the software systems and their interactions throughout the enterprise are highly complex. This paper argues for a consistent and comprehensive assignment mechanism on data governance roles. Based on logical inferences, we are able to show how accountability and responsibility can be assigned throughout processed data. Thereby, we analyze the limitations of traditional logic, such as propositional logic, and exemplarily show how non-monotonic defeasible logic can be used to keep the assignment of roles on information assets consistent.
AB - Today’s companies face increased pressure regarding compliance to legal obligations. Regulations for the financial sector such as Basel II and III, Solvency II, or the Sarbanes-Oxley-Act explicitly demand various requirements. Many of those requirements address the governance and management of information assets, such as data. Companies need to report and track their information architecture, and furthermore have to provide accountability and responsibility information on their data to, e.g., supervisory authorities. Additionally, the tracking of processed data becomes increasingly difficult since the software systems and their interactions throughout the enterprise are highly complex. This paper argues for a consistent and comprehensive assignment mechanism on data governance roles. Based on logical inferences, we are able to show how accountability and responsibility can be assigned throughout processed data. Thereby, we analyze the limitations of traditional logic, such as propositional logic, and exemplarily show how non-monotonic defeasible logic can be used to keep the assignment of roles on information assets consistent.
KW - Data governance
KW - Defeasible logic
KW - EA metrics
KW - Enterprise architecture
KW - Logical reasoning
UR - https://www.scopus.com/pages/publications/84937468088
U2 - 10.1007/978-3-319-19243-7_37
DO - 10.1007/978-3-319-19243-7_37
M3 - Conference contribution
AN - SCOPUS:84937468088
T3 - Lecture Notes in Business Information Processing
SP - 401
EP - 412
BT - Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Proceedings
A2 - Persson, Anne
A2 - Stirna, Janis
PB - Springer Verlag
Y2 - 8 June 2015 through 9 June 2015
ER -