DocumentCode :
230677
Title :
Multi-sectoral collaborative open data applications
Author :
Alencar, Paulo ; Cowan, Donald ; McGarry, Fred ; Palmer, R. Mark
Author_Institution :
Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
64
Lastpage :
73
Abstract :
Complex collaborative applications often involve multiple sectors and numerous heterogeneous open and private data sources. Although these applications are starting to emerge as a result of scientific and technological advances in integration and analytical data capabilities, there is a lack of understanding about the nature of collaborative multi-sectoral open data applications, their architecture and the role of open data in these applications. In this paper we describe the main features of collaborative multi-sectoral applications and illustrate our ideas using a collaborative application called “Integrated Science andWatershed Management System” (ISWMS™), which supports climate adaptation assessment and real-time predictive modeling capabilities. The collaborative efforts around building this application involve experts such as those in environment, rural and urban development, and climate change.
Keywords :
data analysis; data privacy; environmental science computing; ISWMS; analytical data capabilities; climate adaptation assessment; climate change; collaborative multisectoral open data applications; heterogeneous open data sources; integrated science and watershed management system; multisectoral collaborative open data applications; private data sources; rural development; urban development; Biological system modeling; Collaboration; Data models; Distributed databases; Meteorology; Predictive models; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2014 International Conference on
Conference_Location :
Miami, FL
Type :
conf
Filename :
7014551
Link To Document :
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