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Skip to Search Results- 27Koufogiannakis, Denise
- 9Farnel, Sharon
- 4Campbell, Sandy
- 3Bigelow, Ian
- 3Carr-Wiggin, Anne
- 3Feisst, Debbie
- 33University of Alberta Library
- 33University of Alberta Library/Libraries Staff Publications
- 2School of Library and Information Studies
- 2School of Library and Information Studies/Digital Library North
- 1Campus Data Summit Series
- 1Campus Data Summit Series/2012 Campus Data Summit
- 13Evidence-based practice
- 6Metadata
- 3Cataloguing
- 3Decolonization
- 3EBLIP
- 3Evidence based library and information practice
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2013
The objective of this study was to explore and understand how academic librarians use evidence in their professional decision making. A grounded theory methodology was used, following the approach of Charmaz. The 19 participants were academic librarians in Canada. Data were gathered via online...
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Automating Metadata Creation: Enhanced Discovery and Description of Maternal Child Health Data
Download2016-04-07
Roark, Kendall, Farnel, Sharon, Harrigan, Amanda, Vashishtha, Saurabh
This poster for the NADDI 2016 conference shows the processes we implemented to pre-populate parts of our DDI-compatible metadata schema with publicly and locally available information. We have developed in-house scripts to export and import the metadata from resources such as NCBI,...
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2007
Campbell, Sandy, Ziegler, Fred, Koufogiannakis, Denise
The University of Alberta Libraries (UAL), working with two book vendors, created large-scale undergraduate book approval plans to deliver new publications. Detailed selections profiles were created for many subject areas, designed to deliver books that would have been obvious choices by subject...
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2011-06-01
Brettle, Alison, Kloda, Lorie, Koufogiannakis, Denise
Research presentation given at the 6th International Evidence Based Library and Information Practice Conference, Salford, UK, June 2011
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2016-03-10
Vashishtha, Saurabh , Harrigan, Amanda, Farnel, Sharon, Roark, Kendall
This presentation was an update to library staff on the progress that has been made on the CLIR-funded "Bridging the Research Data Divide." It outlines the initial processes taken to describe maternal, infant, and child health research data and engage researchers.