Ontology and the Future of Laboratory Information: Difference between revisions
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'''A Talk by David Parrish ([http://sampleminded.com Sampleminded])''' | '''A Talk by David Parrish ([http://sampleminded.com Sampleminded])''' | ||
When: Friday, April 4, 2014 9:30 – 11am | *When: Friday, April 4, 2014 9:30 – 11am | ||
Where: CTRC 5th Floor, Conference Room 5019 | *Where: CTRC 5th Floor, Conference Room 5019 | ||
Currently, laboratory information management systems (LIMS) are designed to support the collectors, rather than the users, of data. Integration of data from one study to the next thus has to be performed retrospectively, through manual effort, and with costs to data quality. The alternative is prospective integration. This would require an ontology framework that can inform any LIMS and that can be used to define each study in a computable way from the very start. | *Abstract: Currently, laboratory information management systems (LIMS) are designed to support the collectors, rather than the users, of data. Integration of data from one study to the next thus has to be performed retrospectively, through manual effort, and with costs to data quality. The alternative is prospective integration. This would require an ontology framework that can inform any LIMS and that can be used to define each study in a computable way from the very start. | ||
This talk is sponsored by the University at Buffalo Clinical and Translational Research Center and the Department of Biomedical Informatics | This talk is sponsored by the University at Buffalo Clinical and Translational Research Center and the Department of Biomedical Informatics | ||
All welcome | All welcome | ||
Revision as of 16:48, 28 March 2014
A Talk by David Parrish (Sampleminded)
- When: Friday, April 4, 2014 9:30 – 11am
- Where: CTRC 5th Floor, Conference Room 5019
- Abstract: Currently, laboratory information management systems (LIMS) are designed to support the collectors, rather than the users, of data. Integration of data from one study to the next thus has to be performed retrospectively, through manual effort, and with costs to data quality. The alternative is prospective integration. This would require an ontology framework that can inform any LIMS and that can be used to define each study in a computable way from the very start.
This talk is sponsored by the University at Buffalo Clinical and Translational Research Center and the Department of Biomedical Informatics
All welcome
