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dc.contributor.authorNewman, Anna
dc.date2022-08-11T08:08:18.000
dc.date.accessioned2022-08-23T15:50:26Z
dc.date.available2022-08-23T15:50:26Z
dc.date.issued2016-04-06
dc.date.submitted2016-01-08
dc.identifier.doi10.13028/s4hs-yk24
dc.identifier.urihttp://hdl.handle.net/20.500.14038/28668
dc.description.abstractThis poster presents the results of a case study completed as part of the Simmons College course Scientific Research Data Management. The case study focuses on research conducted by a computer science laboratory on factors that influence patient mortality, using topic modeling and other computational techniques. Based on the research narrative, data management practices and needs specific to computer science research are mapped to the New England Collaborative Data Management Curriculum Modules for Managing Research Data. These areas of focus will help information professionals to identify the data management challenges presented by computer science research, as well as the tools and techniques recommended to create an effective data management plan. Overall, this case study demonstrates the importance of valuing and managing source code as data, in order to ensure reproducibility of results and open access to data.
dc.formatflash_audio
dc.language.isoen_US
dc.rightsCopyright the Author(s)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectresearch data management
dc.subjectcomputer science
dc.subjectcase study
dc.subjectdata management plan
dc.subjecthealthcare data
dc.subjectBiomedical
dc.subjectLibrary and Information Science
dc.subjectScholarly Communication
dc.titleModeling Mortality Data: A Case Study in Data Management for Computer Science Research
dc.typePoster
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1126&context=escience_symposium&unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/escience_symposium/2016/posters/15
dc.identifier.contextkey7997259
refterms.dateFOA2022-08-23T15:50:27Z
html.description.abstract<p>This poster presents the results of a case study completed as part of the Simmons College course Scientific Research Data Management. The case study focuses on research conducted by a computer science laboratory on factors that influence patient mortality, using topic modeling and other computational techniques. Based on the research narrative, data management practices and needs specific to computer science research are mapped to the New England Collaborative Data Management Curriculum Modules for Managing Research Data. These areas of focus will help information professionals to identify the data management challenges presented by computer science research, as well as the tools and techniques recommended to create an effective data management plan. Overall, this case study demonstrates the importance of valuing and managing source code as data, in order to ensure reproducibility of results and open access to data.</p>
dc.identifier.submissionpathescience_symposium/2016/posters/15


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