Data governance on ea information assets: Logical reasoning for derived data

Bernhard Waltl; Thomas Reschenhofer; Florian Matthes

doi:10.1007/978-3-319-19243-7_37

Data governance on ea information assets: Logical reasoning for derived data

Bernhard Waltl
, Thomas Reschenhofer
, Florian Matthes

Informatics 19 - Chair of Software Engineering for Business Information Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Proceedings
Editors	Anne Persson, Janis Stirna
Publisher	Springer Verlag
Pages	401-412
Number of pages	12
ISBN (Electronic)	9783319192420
DOIs	https://doi.org/10.1007/978-3-319-19243-7_37
State	Published - 2015
Event	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 Research, 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 - Stockholm, Sweden Duration: 8 Jun 2015 → 9 Jun 2015

Publication series

Name	Lecture Notes in Business Information Processing
Volume	215
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	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 Research, 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
Country/Territory	Sweden
City	Stockholm
Period	8/06/15 → 9/06/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities

Keywords

Data governance
Defeasible logic
EA metrics
Enterprise architecture
Logical reasoning

Access to Document

10.1007/978-3-319-19243-7_37

Cite this

Waltl, B., Reschenhofer, T., & Matthes, F. (2015). Data governance on ea information assets: Logical reasoning for derived data. In A. Persson, & J. Stirna (Eds.), Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Proceedings (pp. 401-412). (Lecture Notes in Business Information Processing; Vol. 215). Springer Verlag. https://doi.org/10.1007/978-3-319-19243-7_37

@inproceedings{0eef8077bfa14947aad699301a793dfa,

title = "Data governance on ea information assets: Logical reasoning for derived data",

abstract = "Today{\textquoteright}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.",

keywords = "Data governance, Defeasible logic, EA metrics, Enterprise architecture, Logical reasoning",

author = "Bernhard Waltl and Thomas Reschenhofer and Florian Matthes",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 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 Research, 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 ; Conference date: 08-06-2015 Through 09-06-2015",

year = "2015",

doi = "10.1007/978-3-319-19243-7\_37",

language = "English",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer Verlag",

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Waltl, B, Reschenhofer, T & Matthes, F 2015, Data governance on ea information assets: Logical reasoning for derived data. in A Persson & J Stirna (eds), Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Proceedings. Lecture Notes in Business Information Processing, vol. 215, Springer Verlag, pp. 401-412, 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 Research, 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, Stockholm, Sweden, 8/06/15. https://doi.org/10.1007/978-3-319-19243-7_37

Data governance on ea information assets: Logical reasoning for derived data. / Waltl, Bernhard; Reschenhofer, Thomas; Matthes, Florian.
Advanced Information Systems Engineering Workshops - CAiSE 2015 International Workshops, Proceedings. ed. / Anne Persson; Janis Stirna. Springer Verlag, 2015. p. 401-412 (Lecture Notes in Business Information Processing; Vol. 215).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Reschenhofer, Thomas

AU - Matthes, Florian

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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.

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KW - Defeasible logic

KW - EA metrics

KW - Enterprise architecture

KW - Logical reasoning

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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 -

Data governance on ea information assets: Logical reasoning for derived data

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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