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BMCBI
2007

Design and implementation of a generalized laboratory data model

10 years 1 months ago
Design and implementation of a generalized laboratory data model
Background: Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. In many environments, the methods themselves also evolve in a rapid and fluid manner. These observations point to the importance of robust information management systems in the modern laboratory. Designing and implementing such systems is non-trivial and it appears that in many cases a database project ultimately proves unserviceable. Results: We describe a general modeling framework for laboratory data and its implementation formation management system. The model utilizes several abstraction techniques, focusing especially on the concepts of inheritance and meta-data. Traditional approaches commingle eventoriented data with regular entity data in ad hoc ways. Instead, we define distinct regular entity and event schemas, but fully integrate these via a standardized interface. The design allows straightforward ...
Michael C. Wendl, Scott Smith, Craig S. Pohl, Davi
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2007
Where BMCBI
Authors Michael C. Wendl, Scott Smith, Craig S. Pohl, David J. Dooling, Asif T. Chinwalla, Kevin Crouse, Todd Hepler, Shin Leong, Lynn K. Carmichael, Mike Nhan, Benjamin J. Oberkfell, Elaine R. Mardis, LaDeana W. Hillier, Richard K. Wilson
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