Fund allocation formula analysis: Determining elements for best practices in libraries |
| |
| Institution: | 1. Institute of Biochemistry and Pathobiochemistry, Faculty of Medicine, System Biochemistry, Ruhr-University Bochum, Bochum, Germany;2. Department of Biochemistry and Functional Proteomics, Faculty of Biology and BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany;1. Consulting Plant Physiologist, Corvallis, OR, United States;2. Department of Chemistry and Biochemistry, Missouri State University, Springfield, MO, United States;1. Kentucky Injury Prevention and Research Center, University of Kentucky College of Public Health, Lexington, KY, USA;2. Department of Biostatistics, University of Kentucky College of Public Health, Lexington, KY, USA;3. Department of Pharmacy Practice and Science, University of Kentucky College of Pharmacy, Lexington, KY, USA;4. Institute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington, KY, USA;5. Departments of Behavioral Science and Psychiatry, Center on Drug and Alcohol Research, University of Kentucky College of Medicine, Lexington, KY, USA;6. Department of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA;1. Lancaster University, Department of Linguistics and English Language, County South C68, Bailrigg, Lancaster LA1 4YW, United Kingdom;2. North-West University, Potchefstroom Campus, Department of Afrikaans and Dutch, Building E9 – 243, Private Bag X6001, Potchefstroom 2520, South Africa;1. Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA;2. Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA;3. Department of Earth System Science, University of California, Irvine, CA 92697, USA;4. Department of Geography, University of California, Santa Barbara, CA 93106, USA;5. Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR 97331, USA |
| |
| Abstract: | The purpose of this study was to determine whether common elements in fund allocation formulas could be used to articulate “best practices” for fund allocations in academic libraries. Methodology involved a meta-analysis of published articles and Internet sites in which 75 fund allocation formulas were presented. Of the 75 formulas, 28 usable examples were analyzed to determine if there were any statistically significant elements within these formulas that could be identified, as well as to determine the degree of correlation for each component identified in the usable set. Findings are presented in this article, as well as implications for further research. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
