Modeling Mortality Data: A Case Study in Data Management for Computer Science Research

Newman, Anna

dc.contributor.author	Newman, Anna
dc.date	2022-08-11T08:08:18.000
dc.date.accessioned	2022-08-23T15:50:26Z
dc.date.available	2022-08-23T15:50:26Z
dc.date.issued	2016-04-06
dc.date.submitted	2016-01-08
dc.identifier.doi	10.13028/s4hs-yk24
dc.identifier.uri	http://hdl.handle.net/20.500.14038/28668
dc.description.abstract	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.
dc.format	flash_audio
dc.language.iso	en_US
dc.rights	Copyright the Author(s)
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject	research data management
dc.subject	computer science
dc.subject	case study
dc.subject	data management plan
dc.subject	healthcare data
dc.subject	Biomedical
dc.subject	Library and Information Science
dc.subject	Scholarly Communication
dc.title	Modeling Mortality Data: A Case Study in Data Management for Computer Science Research
dc.type	Poster
dc.identifier.legacyfulltext	https://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1126&context=escience_symposium&unstamped=1
dc.identifier.legacycoverpage	https://escholarship.umassmed.edu/escience_symposium/2016/posters/15
dc.identifier.contextkey	7997259
refterms.dateFOA	2022-08-23T15:50:27Z
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.submissionpath	escience_symposium/2016/posters/15