Lead, lag or get out of the index: Exploring macro-economic indicators of data use

Weber, Nicholas M.; Thomer, Andrea K.

Permalink

https://hdl.handle.net/2142/42076 Copy

Description

Title

Lead, lag or get out of the index: Exploring macro-economic indicators of data use

Author(s)

• Weber, Nicholas M.
• Thomer, Andrea K.

Issue Date

2013-02

Keyword(s)

• Data Curation
• Infometrics
• 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.

Publisher

iSchools

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/42076

DOI

https://doi.org/10.9776/13487

Copyright and License Information

Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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