Applying Open-Source Software to Laboratory Data Management

被引:2
|
作者
Murray, Glenn A. [2 ]
Crocker, David P. [1 ]
机构
[1] Natl Renewable Energy Lab, Natl Biomass Ctr, Golden, CO USA
[2] Colorado Sch Mines, Dept Chem Engn, Golden, CO 80401 USA
来源
JALA | 2011年 / 16卷 / 05期
关键词
scientific data management; open source; LIMS; system integration;
D O I
10.1016/j.jala.2010.04.005
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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. (JALA 2011;16:327-34)
引用
收藏
页码:327 / 334
页数:8
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