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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Defining Data Science And Data Scientist, Dana M. Dedge Parks
Defining Data Science And Data Scientist, Dana M. Dedge Parks
USF Tampa Graduate Theses and Dissertations
The world’s data sets are growing exponentially every day due to the large number of devices generating data residue across the multitude of global data centers. What to do with the massive data stores, how to manage them and defining who are performing these tasks has not been adequately defined and agreed upon by academics and practitioners. Data science is a cross disciplinary, amalgam of skills, techniques and tools which allow business organizations to identify trends and build assumptions which lead to key decisions. It is in an evolutionary state as new technologies with capabilities are still being developed and …
Informed Desk Staffing With Quantified Reference Statistics: Using Electronic Data Collection To Re-Envision Reference Services At The Usf Tampa Libraries, Lily Todorinova, Andy Huse, Barbara Lewis, Matt Torrence
Informed Desk Staffing With Quantified Reference Statistics: Using Electronic Data Collection To Re-Envision Reference Services At The Usf Tampa Libraries, Lily Todorinova, Andy Huse, Barbara Lewis, Matt Torrence
Matt Torrence
Andy Huse, Barbara Lewis, Lily Todorinova, and Matt Torrence participated in a panel presentation for RUSA MARS Hot Topics. Their presentation titled "Informed Desk Staffing Through Quantified Reference Statistics” discussed the data collection, data analysis, and decision-making aspects of the Re-envisioning Reference project at the USF Libraries. This project examined the implementation and effectiveness of online data collection tools and the use of their data to inform managerial decisions as to scheduling of desk hours and staffing levels. Interviews with key library administrators were conducted in order to provide an historical perspective as to weaknesses of past data collection and …
Informed Desk Staffing With Quantified Reference Statistics: Using Electronic Data Collection To Re-Envision Reference Services At The Usf Tampa Libraries, Lily Todorinova, Andy Huse, Barbara Lewis, Matt Torrence
Informed Desk Staffing With Quantified Reference Statistics: Using Electronic Data Collection To Re-Envision Reference Services At The Usf Tampa Libraries, Lily Todorinova, Andy Huse, Barbara Lewis, Matt Torrence
Academic Services Faculty and Staff Publications
Andy Huse, Barbara Lewis, Lily Todorinova, and Matt Torrence participated in a panel presentation for RUSA MARS Hot Topics. Their presentation titled "Informed Desk Staffing Through Quantified Reference Statistics” discussed the data collection, data analysis, and decision-making aspects of the Re-envisioning Reference project at the USF Libraries. This project examined the implementation and effectiveness of online data collection tools and the use of their data to inform managerial decisions as to scheduling of desk hours and staffing levels. Interviews with key library administrators were conducted in order to provide an historical perspective as to weaknesses of past data collection and …