DocumentCode
583029
Title
The VPH-Share Data Management Platform: Enabling Collaborative Data Management for the Virtual Physiological Human Community
Author
Koehler, M. ; Knight, R. ; Benkner, Siegfried ; Kaniovskyi, Y. ; Wood, Samuel
Author_Institution
Res. Group Sci. Comput., Univ. of Vienna, Vienna, Austria
fYear
2012
fDate
22-24 Oct. 2012
Firstpage
80
Lastpage
87
Abstract
The objective of the Virtual Physiological Human Initiative is to provide a systematic framework for understanding physiological processes in the human body in terms of anatomical structure and biophysical mechanisms across multiple length and time scales. The VPH-Share project, which has been funded in the context of the initiative, contributes to this vision, especially in terms of data management. In this paper we present the VPH-Share data management platform enabling sharing VPH-relevant datasets within the community on the basis of Cloud technologies. The data management platform aims at supporting the data management life-cycle but starting from already available data. The life cycle covers all processes from data selection, semantic data annotation, data integration, data publishing, and data access. Herein we describe the infrastructure supporting the data management life-cycle towards collaborative data management, consisting of the data publication suite and the dataset service environment.
Keywords
biological techniques; cloud computing; data integration; electronic publishing; information retrieval; medical computing; physiology; VPH-Share data management platform; VPH-Share project; Virtual Physiological Human Initiative community; anatomical structure; biophysical mechanisms; cloud technologies; collaborative data management life-cycle; data access; data integration; data publication suite; data selection; dataset service environment; human body; semantic data annotation; Communities; Databases; Home appliances; Ontologies; Publishing; Semantics; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grids (SKG), 2012 Eighth International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2561-5
Type
conf
DOI
10.1109/SKG.2012.51
Filename
6391814
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