Data Infrastructures for Asset Management Viewed as Complex Adaptive Systems
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 approach...
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| Published in | Procedia computer science Vol. 36; pp. 124 - 130 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1877-0509 1877-0509 |
| DOI | 10.1016/j.procs.2014.09.048 |
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| 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. |
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| AbstractList | 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. |
| Author | Overtoom, Irene Versluis, Arie Janssen, Marijn Brous, Paul Herder, Paulien |
| Author_xml | – sequence: 1 givenname: Paul surname: Brous fullname: Brous, Paul email: p.a.brous@tudelft.nl organization: Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands – sequence: 2 givenname: Irene surname: Overtoom fullname: Overtoom, Irene organization: Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands – sequence: 3 givenname: Paulien surname: Herder fullname: Herder, Paulien organization: Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands – sequence: 4 givenname: Arie surname: Versluis fullname: Versluis, Arie organization: Rijkswaterstaat, Derde Werelddreef 1, 2622 HA, Delft, The Netherlands – sequence: 5 givenname: Marijn surname: Janssen fullname: Janssen, Marijn organization: Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands |
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| CitedBy_id | crossref_primary_10_1080_17452007_2019_1706439 crossref_primary_10_1155_2019_5415828 crossref_primary_10_1080_15420353_2015_1054544 crossref_primary_10_36680_j_itcon_2025_012 crossref_primary_10_1177_02683962241295785 crossref_primary_10_3390_ijgi6040117 crossref_primary_10_1016_j_procs_2015_09_215 crossref_primary_10_1016_j_procs_2016_09_339 |
| Cites_doi | 10.1287/orsc.8.2.157 10.1016/j.jbi.2012.01.009 10.1080/13658810802687319 10.1111/j.1530-9290.2009.00116.x 10.5751/ES-00610-090118 10.1145/99332.99367 10.1057/ejis.2010.25 10.1016/j.giq.2008.12.006 10.1016/j.giq.2010.07.001 10.1145/1629175.1629210 10.1287/isre.2.1.1 10.1016/S0303-2434(02)00002-8 10.1145/253769.253804 10.1504/JDR.2008.018775 10.1016/j.futures.2011.06.005 10.1007/978-1-84996-178-3_12 10.4324/9780203012253 10.1080/13658810500399688 |
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