Li, Hao (2011) Model Driven Laboratory Management System. Doctoral thesis, University of Washington.
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Abstract
Biomedical research scientists need more robust tools than spreadsheets to manage their data. However, no suitable laboratory information management systems (LIMS) are readily available; they are either too costly to build or too complex to adapt. This thesis presents the architecture, design, implementation, and a prototype of a model driven LIMS, called Seedpod. Scientists, with the help of biomedical informaticists, develop a knowledge model of their data and data management needs in a knowledge management tool called Protégé. Seedpod then automatically produces a relational database from the model, and dynamically generates a web-based graphical user interface. Seedpod can be used for multiple scientific research domains since only its knowledge model contains domain-specific content. It decreases development time and cost, thereby allowing scientists to focus on producing and collecting data.
Item Type: | Thesis (Doctoral) |
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Subjects: | All Projects > Seedpod |
Divisions: | University of Washington > Department of Biomedical Informatics and Medical Education |
Depositing User: | Jim Brinkley |
Date Deposited: | 28 Feb 2019 00:15 |
Last Modified: | 28 Feb 2019 00:15 |
URI: | http://sigpubs.si.washington.edu/id/eprint/362 |
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