{"title":"Multi-sectoral collaborative open data applications","authors":"P. Alencar, D. Cowan, Fred McGarry, R. Palmer","doi":"10.4108/ICST.COLLABORATECOM.2014.257375","DOIUrl":null,"url":null,"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.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
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.