Longitudinal data integration for a tracking system for health professionals

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dc.contributor.advisorLight, Janet
dc.contributor.authorMohammed, Raafey Ahmed
dc.date.accessioned2023-03-01T16:42:14Z
dc.date.available2023-03-01T16:42:14Z
dc.date.issued2016
dc.date.updated2016-05-04T00:00:00Z
dc.description.abstractIncrease in the number of programs offered and awareness on the benefits of data collection and analysis have prompted universities across the globe to develop tracking systems that monitor the socio-economic impact of their graduates on the community. A data warehouse is required to store the data for analysis and reporting. In this thesis, an approach for building a longitudinal data warehouse is proposed for such tracking systems, in which data acquired from several sources is cleaned, integrated and structured for analytical reporting. The challenges encountered during the development of this tracking system are addressed with proposed solutions. A front-end application is also designed and developed that displays the queried data in the form of reports and charts.
dc.description.copyright© Raafey Ahmed Mohammed, 2016
dc.description.noteEntered as "Masters in Computer Science", changed to "Master of..."
dc.formattext/xml
dc.format.extentxii, 87 pages
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/14355
dc.language.isoen_CA
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineComputer Science
dc.titleLongitudinal data integration for a tracking system for health professionals
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.fullnameMaster of Computer Science
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.C.S.

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