Lessons from myExperiment: Research Objects for Data Intensive Research
Lessons from myExperiment: Research Objects for Data Intensive Research
The myExperiment Virtual Research Environment has successfully adopted a Web 2.0 approach in delivering a social web site where scientists can discover, publish and curate scientific workflows and other artefacts. While it shares many characteristics with other Web 2.0 sites, myExperiment’s distinctive features to meet the needs of its research user base include support for credit, attributions and licensing, fine control over privacy, a federation model and the ability to execute workflows. myExperiment now has over 2000 registered users, with thousands more downloading public content, and the largest public collection of workflows, for systems which include Microsoft’s Trident. Created in close collaboration with its research users, myExperiment gives important insights into emerging research practice. As it moves into its second phase we see new forms of sharable Research Object which challenge traditional scholarly publishing and provide an important basis for data-intensive science. To support this, semantic technologies are increasingly coming into play to maximise the potential for reuse and repurposing of experiments.
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Goble, Carole
8c248c0f-f19e-4dda-838b-77a89c5d3d38
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Goble, Carole
8c248c0f-f19e-4dda-838b-77a89c5d3d38
De Roure, David and Goble, Carole
(2009)
Lessons from myExperiment: Research Objects for Data Intensive Research.
eScience Workshop 2009, Pittsburgh, United States.
15 - 17 Oct 2009.
(Submitted)
Record type:
Conference or Workshop Item
(Other)
Abstract
The myExperiment Virtual Research Environment has successfully adopted a Web 2.0 approach in delivering a social web site where scientists can discover, publish and curate scientific workflows and other artefacts. While it shares many characteristics with other Web 2.0 sites, myExperiment’s distinctive features to meet the needs of its research user base include support for credit, attributions and licensing, fine control over privacy, a federation model and the ability to execute workflows. myExperiment now has over 2000 registered users, with thousands more downloading public content, and the largest public collection of workflows, for systems which include Microsoft’s Trident. Created in close collaboration with its research users, myExperiment gives important insights into emerging research practice. As it moves into its second phase we see new forms of sharable Research Object which challenge traditional scholarly publishing and provide an important basis for data-intensive science. To support this, semantic technologies are increasingly coming into play to maximise the potential for reuse and repurposing of experiments.
More information
Submitted date: 31 July 2009
Additional Information:
Event Dates: October 15-17, 2009
Venue - Dates:
eScience Workshop 2009, Pittsburgh, United States, 2009-10-15 - 2009-10-17
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 267744
URI: http://eprints.soton.ac.uk/id/eprint/267744
PURE UUID: 66cb8110-f299-41e1-aec8-3417f995337e
Catalogue record
Date deposited: 01 Aug 2009 10:50
Last modified: 14 Mar 2024 08:56
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Contributors
Author:
David De Roure
Author:
Carole Goble
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