Information Quality Framework for the Design and Validation of Data Flow Within Business Processes - Position Paper

Michael Vaknin , Agata Filipowska


Poor data quality may be a cause for problems in organizational processes. There are numerous methods to assess and improve quality of data within information systems, however they often do not address the original source of these problems. This paper presents a conceptual solution for dealing with the data quality issue within information systems. It focuses on analysis of business processes being a source of requirements for information systems design and development. This analysis benefits information quality requirements, in order to improve data quality within systems emerging from these requirements.
Author Michael Vaknin
Michael Vaknin,,
, Agata Filipowska (WIiGE / KIE)
Agata Filipowska,,
- Department of Information Systems
Publication size in sheets0.5
Book Abramowicz Witold, Alt Rainer, Franczyk Bogdan (eds.): Business Information Systems Workshops BIS 2016 International Workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers, Lecture Notes in Business Information Processing, vol. 263, 2017, Springer, ISBN 978-3-319-52463-4, [978-3-319-52464-1], 430 p., DOI:10.1007/978-3-319-52464-1
Keywords in EnglishData/information quality; Business process modeling; IS/IT alignment; IS/IT design; Data quality dimensions
ASJC Classification1802 Information Systems and Management; 2611 Modelling and Simulation; 1710 Information Systems; 1403 Business and International Management; 2207 Control and Systems Engineering; 1404 Management Information Systems
Languageen angielski
Score (nominal)70
Score sourceconferenceList
ScoreMinisterial score = 70.0, 25-03-2020, ChapterFromConference
Publication indicators WoS Citations = 0
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