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Data Infrastructures for Asset Management Viewed as Complex Adaptive Systems.pdf
Available online at
ScienceDirect
Procedia Computer Science 36 (2014) 124 – 130
Complex Adaptive Systems, Publication 4 Cihan H. Dagli, Editor in Chief
Conference Organized by Missouri University of Science and Technology 2014- Philadelphia, PA
Data Infrastructures for Asset Management Viewed as Complex Adaptive Systems
Paul Brousab*, Irene Overtooma, Paulien Herdera, Arie Versluisb, Marijn Janssena
aDelft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands bRijkswaterstaat, Derde Werelddreef 1, 2622 HA, Delft, The Netherlands
Abstract
Data infrastructures represent information about physical reality. As reality changes, data infrastructures might also be subject to change. Researchers have increasingly approached physical infrastructures as being complex adaptive systems (CAS). Although physical infrastructures are often approached as CAS, the underlying data infrastructures hardly are. Studying data infrastructures as CAS has significant implications for our understanding of them. A CAS lens will help us to identify and better understand their key elements and coordination mechanisms for their functioning and dealing with change. Accepting data infrastructures as CASs also means we need to understand the consequences for their development. On the basis of state of the art literature, and an explorative case study of Rijkswaterstaat in the Netherlands, an overview of known data infrastructural elements and the coordination mechanisms connecting them will be presented. The results show that successful development of data infrastructures requires consideration of a wide variety of elements that can be coordinated using various coordination mechanisms. We conclude that a more complete picture of what data infrastructures are and how they can be coordinated is needed. ? 2014 TThheeAAuutthhoorrss. .PPuubblilsihsehdedbybyElEselsveievrieBr.BV.V. This is an open access article under the CC BY-NC-ND license (Shetltepc:t/i/ocnreaantidvpeceoerm-rmevoienws.
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