Multi-sectoral collaborative open data applications

P. Alencar, D. Cowan, Fred McGarry, R. Palmer
{"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.
多部门协作开放数据应用
复杂的协作应用程序通常涉及多个部门和众多异构的开放和私有数据源。尽管由于集成和分析数据能力方面的科技进步,这些应用开始出现,但人们对协作式多部门开放数据应用的性质、它们的架构以及开放数据在这些应用中的作用缺乏了解。在本文中,我们描述了协作多部门应用程序的主要特征,并使用一个名为“综合科学与流域管理系统”(ISWMS™)的协作应用程序来说明我们的想法,该应用程序支持气候适应评估和实时预测建模功能。围绕构建该应用程序的协作工作涉及环境、农村和城市发展以及气候变化等领域的专家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信