Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.4108/icst.collaboratecom.2014.257375 | Collaborative Computing: Networking, Applications and Worksharing |
Keywords | Field | DocType |
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 | Data science,Open data,Data modeling,Architecture,Computer science,Urban planning,Distributed database,Management system,Management science,Distributed computing | Conference |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paulo S. C. Alencar | 1 | 393 | 45.89 |
| Donald D. Cowan | 2 | 581 | 90.75 |
| F. M. McGarry | 3 | 11 | 3.05 |
| R. Mark Palmer | 4 | 1 | 0.36 |