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Title:Lead, lag or get out of the index: Exploring macro-economic indicators of data use
Author(s):Weber, Nicholas M.; Thomer, Andrea K.
Subject(s):Data Curation
Scholarly Communications
Evidence-based Policy
bibliometrics and scholarly communication
information policy
information services
quantitative data analysis
Abstract:Developing techniques to better quantify, track and more accurately describe the impact of federally funded research is quickly becoming a reputable domain for information studies, including data curation. In previous papers we’ve suggested the adaptation of an existing Data Use Index to quantify data use in the Research Data Archive at the National Center for Atmospheric Research. In this poster we revisit those indicators to determine their ability to forecast or indicate changes in data use over time. Central to our exploration of these indicators is an economic approach to quantifying data use, which holds that patterns in data repository events (downloads, searches, browsing etc.) should be capable of both predicting and explaining variations in data use over time. We present preliminary results from this analysis and conclude with some prospects for future work with macroeconomic indicators.
Issue Date:2013-02
Citation Info:Weber, N., & Thomer, A. (2013). Lead, lag or get out of the index: Exploring macro-economic indicators of data use. iConference 2013 Proceedings (pp. 949-952). doi:10.9776/13487
Genre:Conference Poster
Publication Status:published or submitted for publication
Peer Reviewed:is peer reviewed
Rights Information:Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2013-02-03

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