Virtual Research Environments: An Overview and a Research Agenda

Virtual Research Environments are innovative, web-based, community-oriented, comprehensive, flexible, and secure working environments conceived to serve the needs of modern science. We overview the existing initiatives developing these environments by highlighting the major distinguishing features....

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Bibliographic Details
Main Authors: Leonardo Candela, Donatella Castelli, Pasquale Pagano
Format: Article
Language:English
Published: Ubiquity Press 2013-07-01
Series:Data Science Journal
Subjects:
Online Access:http://datascience.codata.org/articles/247
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spelling doaj-331b1063c0ed428dae59622a70e69ea32020-11-25T00:46:29ZengUbiquity PressData Science Journal1683-14702013-07-011210.2481/dsj.GRDI-013247Virtual Research Environments: An Overview and a Research AgendaLeonardo Candela0Donatella Castelli1Pasquale Pagano2Istituto di Scienza e Tecnologie dell’Informazione (ISTI) “Alessandro Faedo”, Italian National Research Council (CNR), Via G. Moruzzi 1, 56124 Pisa, ItalyIstituto di Scienza e Tecnologie dell’Informazione (ISTI) “Alessandro Faedo”, Italian National Research Council (CNR), Via G. Moruzzi 1, 56124 Pisa, ItalyIstituto di Scienza e Tecnologie dell’Informazione (ISTI) “Alessandro Faedo”, Italian National Research Council (CNR), Via G. Moruzzi 1, 56124 Pisa, ItalyVirtual Research Environments are innovative, web-based, community-oriented, comprehensive, flexible, and secure working environments conceived to serve the needs of modern science. We overview the existing initiatives developing these environments by highlighting the major distinguishing features. We envisage a future where regardless of geographical location, scientists will be able to use their Web browsers to seamlessly access data, software, and processing resources that are managed by diverse systems in separate administration domains via Virtual Research Environments. We identify and discuss the major challenges that should be resolved to fully achieve the proposed vision, i.e., large-scale integration and interoperability, sustainability, and adoption.http://datascience.codata.org/articles/247Virtual Research EnvironmentScientific GatewayDigital LibraryData Infrastructure
collection DOAJ
language English
format Article
sources DOAJ
author Leonardo Candela
Donatella Castelli
Pasquale Pagano
spellingShingle Leonardo Candela
Donatella Castelli
Pasquale Pagano
Virtual Research Environments: An Overview and a Research Agenda
Data Science Journal
Virtual Research Environment
Scientific Gateway
Digital Library
Data Infrastructure
author_facet Leonardo Candela
Donatella Castelli
Pasquale Pagano
author_sort Leonardo Candela
title Virtual Research Environments: An Overview and a Research Agenda
title_short Virtual Research Environments: An Overview and a Research Agenda
title_full Virtual Research Environments: An Overview and a Research Agenda
title_fullStr Virtual Research Environments: An Overview and a Research Agenda
title_full_unstemmed Virtual Research Environments: An Overview and a Research Agenda
title_sort virtual research environments: an overview and a research agenda
publisher Ubiquity Press
series Data Science Journal
issn 1683-1470
publishDate 2013-07-01
description Virtual Research Environments are innovative, web-based, community-oriented, comprehensive, flexible, and secure working environments conceived to serve the needs of modern science. We overview the existing initiatives developing these environments by highlighting the major distinguishing features. We envisage a future where regardless of geographical location, scientists will be able to use their Web browsers to seamlessly access data, software, and processing resources that are managed by diverse systems in separate administration domains via Virtual Research Environments. We identify and discuss the major challenges that should be resolved to fully achieve the proposed vision, i.e., large-scale integration and interoperability, sustainability, and adoption.
topic Virtual Research Environment
Scientific Gateway
Digital Library
Data Infrastructure
url http://datascience.codata.org/articles/247
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