Ontology and the Future of Laboratory Information: Difference between revisions
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''' | '''Talk by David Parrish''' | ||
* | *Friday, April 4, 2014 9:30 – 11am | ||
* | *CTRC 5th Floor, Conference Room 5019A | ||
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. | *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. | |||
*[http://ncor.buffalo.edu/2014/Parrish.pptx Slides] | |||
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This talk is sponsored by: | This talk is sponsored by: | ||
* | *[http://www.buffaloctrc.org/ Buffalo Clinical and Translational Research Center] | ||
*Department of Biomedical Informatics | *University at Buffalo [http://wings.buffalo.edu/smbs/biomedicalinformatics/ Department of Biomedical Informatics] | ||
All are welcome to attend | |||
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::[https://www.linkedin.com/profile/view?id=10415055&authType=NAME_SEARCH&authToken=vTmu&locale=en_US&srchid=27153661396043238796&srchindex=1&srchtotal=279&trk=vsrp_people_res_name&trkInfo=VSRPsearchId%3A27153661396043238796%2CVSRPtargetId%3A10415055%2CVSRPcmpt%3Aprimary David Parrish] has played an important role in the development of laboratory and biobanking informatics, including serving as Director of Bioinformatics for the Immune Tolerance Network. Currently he works as senior information architect at [http://sampleminded.com Sampleminded] and is providing support and guidance for the [http://www.niaid.nih.gov/about/organization/dcr/ocsirf/Pages/OCSIFR.aspx NIAID Integrated Research Facility] (IRF) in the design and deployment of their Research Operations Management System (ROMS). The IRF ROMS leverages commercial off-the-shelf (COTS) information solutions in support of the definition, design conduct and evaluation of sponsored research programs. He is also a consultant to Roswell Park Cancer Institute. | |||
[http://ncor.buffalo.edu/2014/Parrish-poster.pdf Poster] | |||
Latest revision as of 23:40, 4 April 2014
Talk by David Parrish
- Friday, April 4, 2014 9:30 – 11am
- CTRC 5th Floor, Conference Room 5019A
- 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:
- Buffalo Clinical and Translational Research Center
- University at Buffalo Department of Biomedical Informatics
All are welcome to attend
- David Parrish has played an important role in the development of laboratory and biobanking informatics, including serving as Director of Bioinformatics for the Immune Tolerance Network. Currently he works as senior information architect at Sampleminded and is providing support and guidance for the NIAID Integrated Research Facility (IRF) in the design and deployment of their Research Operations Management System (ROMS). The IRF ROMS leverages commercial off-the-shelf (COTS) information solutions in support of the definition, design conduct and evaluation of sponsored research programs. He is also a consultant to Roswell Park Cancer Institute.
