Abstract
Duplication of data across systems in an organization is a
problem because it wastes eort and leads to inconsistencies. Researchers
have proposed several technical solutions but duplication still occurs in
practice. In this paper we report on a case study of how and why dupli-
cation occurs in a large organization, and discuss generalizable lessons
learned from this. Our case study research questions are why data gets
duplicated, what the size of the negative eects of duplication is, and
why existing solutions are not used. We frame our ndings in terms of
design rationale and explain them by providing a causal model. Our nd-
ings suggest that next to technological factors, organizational and project
factors have a large eect on duplication. We discuss the implications of
our ndings for technical solutions in general.
Original language | English |
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Title of host publication | 22nd International ConferenceAdvanced Information Systems Engineering (CAiSE 2010) |
Editors | Barbara Pernici |
Place of Publication | London |
Publisher | Springer |
Pages | 68-82 |
Number of pages | 15 |
ISBN (Print) | 978-3-642-13093-9 |
DOIs | |
Publication status | Published - 2010 |
Event | 22nd International Conference on Advanced Information Systems Engineering, CAiSE 2010 - Hammamet, Tunisia Duration: 7 Jun 2010 → 9 Jun 2010 Conference number: 22 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 6051 |
Conference
Conference | 22nd International Conference on Advanced Information Systems Engineering, CAiSE 2010 |
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Abbreviated title | CAiSE |
Country/Territory | Tunisia |
City | Hammamet |
Period | 7/06/10 → 9/06/10 |
Keywords
- METIS-270904
- EWI-18123
- SCS-Services
- IR-72391