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A science data gateway for environmental management
Author(s) -
Agarwal Deborah A.,
Faybishenko Boris,
Freedman Vicky L.,
Krishnan Harinarayan,
Kushner Gary,
Lansing Carina,
Porter Ellen,
Romosan Alexandru,
Shoshani Arie,
Wainwright Haruko,
Weidmer Arthur,
Wu Kesheng
Publication year - 2016
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3697
Subject(s) - gateway (web page) , workflow , computer science , variety (cybernetics) , interface (matter) , world wide web , key (lock) , data management , environmental data , cyberinfrastructure , data visualization , data science , data access , default gateway , service (business) , data as a service , visualization , database , computer network , data mining , computer security , operating system , economy , bubble , maximum bubble pressure method , artificial intelligence , political science , law , economics
Summary Science data gateways are effective in providing complex science data collections to the world‐wide user communities. In this paper we describe a gateway for the Advanced Simulation Capability for Environmental Management (ASCEM) framework. Built on top of established web service technologies, the ASCEM data gateway is specifically designed for environmental modeling applications. Its key distinguishing features include (1) handling of complex spatiotemporal data, (2) offering a variety of selective data access mechanisms, (3) providing state‐of‐the‐art plotting and visualization of spatiotemporal data records, and (4) integrating seamlessly with a distributed workflow system using a RESTful interface. ASCEM project scientists have been using this data gateway since 2011. Copyright © 2015 John Wiley & Sons, Ltd.