Data integration: challenges for drug discovery.
The effective integration of data and knowledge from many disparate sources will be crucial to future drug discovery. Data integration is a key element of conducting scientific investigations with modern platform technologies, managing increasingly complex discovery portfolios and processes, and fully realizing economies of scale in large enterprises. However, viewing data integration as simply an 'IT problem' underestimates the novel and serious scientific and management challenges it embodies - challenges that could require significant methodological and even cultural changes in our approach to data.
Searls
David B
DB
Bioinformatics Division, Genetics Research, GlaxoSmithKline Pharmaceuticals, 709 Swedeland Road, P.O. Box 1539, King of Prussia, Pennsylvania 19406, USA. David_B_Searls@gsk.com
D003625:Data Collection / Q000379:methods*; D003628:Database Management Systems / Q000639:trends; D015195:Drug Design; D004345:Drug Industry / Q000379:methods; D008962:Models, Theoretical; D018511:Systems Integration; D009626:Terminology as Topic