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Biomedical CyberInfrastructure challenges

Published: 22 July 2013 Publication History

Abstract

Biomedical research traverses a new era of advancements through the adoption of massive computing and big-data solutions to major scientific problems. However, the road ahead is far from "a walk in a park" -- many obstacles exist in the standardization, adoption, and evolution of methods, practices, algorithms, tools, and ultimately knowledge, that would mature along this road. In this article, we discuss such challenges that we encountered in this field and possible solutions from the iDASH program that closely engages this community.

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National Institutes of Health, NIH Roadmap for Medical Research, Grant U54 HL10846. iDASH - integrating Data for Analysis, Anonymization and Sharing. http://idash.ucsd.edu
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L. Ohno-Machado, V. Bafna, A. A Boxwala, B. E Chapman, W. W Chapman, K. Chaudhuri, M. E Day, C. Farcas, N. D Heintzman, X. Jiang, H. Kim, J. Kim, M. E Matheny, F. S Resnic, and S. A Vinterbo, "iDASH: integrating data for analysis, anonymization, and sharing," Journal of the American Medical Informatics Association, Nov. 2011
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Cited By

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  • (2015)Towards Use And Reuse Driven Big Data ManagementProceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries10.1145/2756406.2756924(65-74)Online publication date: 21-Jun-2015
  • (2015)On-Demand Big Data Analysis in Digital RepositoriesProceedings of the 17th International Conference on Asia-Pacific Digital Libraries - Volume 946910.1007/978-3-319-27974-9_29(274-277)Online publication date: 9-Dec-2015

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XSEDE '13: Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
July 2013
433 pages
ISBN:9781450321709
DOI:10.1145/2484762
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2013

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  1. biomedical
  2. challenges
  3. cyberinfrastructure

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View all
  • (2015)Towards Use And Reuse Driven Big Data ManagementProceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries10.1145/2756406.2756924(65-74)Online publication date: 21-Jun-2015
  • (2015)On-Demand Big Data Analysis in Digital RepositoriesProceedings of the 17th International Conference on Asia-Pacific Digital Libraries - Volume 946910.1007/978-3-319-27974-9_29(274-277)Online publication date: 9-Dec-2015

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