| Applying open-source software to laboratory data management. | |
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MedLine Citation:
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PMID: 21906558 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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The rise of new experimental techniques, such as high-throughput combinatorial methods, and the availability of large data sets by means of the Internet have greatly increased the amount of data that must be managed by relatively small projects. Scientific data management systems developed for large projects are often not available, suitable, nor affordable for projects with lesser resources. Increasing numbers of open-source frameworks have made available numerous options for smaller facilities to build for themselves effective and robust data management solutions. We will present considerations of these options and a case study. |
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Authors:
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Glenn A Murray; David P Crocker |
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Publication Detail:
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Type: Journal Article Date: 2010-07-21 |
Journal Detail:
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Title: Journal of laboratory automation Volume: 16 ISSN: 2211-0682 ISO Abbreviation: J Lab Autom Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-09-12 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101558509 Medline TA: J Lab Autom Country: United States |
Other Details:
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Languages: eng Pagination: 327-34 Citation Subset: IM |
Copyright Information:
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Copyright © 2011 Society for Laboratory Automation and Screening. All rights reserved. |
Affiliation:
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Department of Chemical Engineering, Colorado School of Mines, Golden, CO. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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