Metadata characteristics as predictors for editor selectivity in a current awareness service

Krichel, Thomas and Bakkalbasi, Nisa Metadata characteristics as predictors for editor selectivity in a current awareness service., 2005 (Unpublished) [Report]

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English abstract

RePEc is a large digital library for the economics community. “NEP: New Economics Papers” is a current awareness service for recent additions to RePEc. The service is run by volunteer editors. They filter new additions to RePEc into subject-specific reports. The intended purpose of this current awareness service is to filter papers by subject matter without any judgment of their academic quality. We use binary logistic regression analysis to estimate the probability of a paper being included in any of the subject reports as a function of a range of observable variables. Our analysis suggests that, contrary to their own claims, editors use quality criteria. These include the reputation of the series as well as the reputation of the authors. Our findings suggest that a current awareness service can be used as a first step of a peer-review process.

Item type:	Report
Keywords:	Current awareness; SDI (Selective dissemination of information); Digital library; Binary logistic regression analysis
Subjects:	B. Information use and sociology of information > BG. Information dissemination and diffusion.
Depositing user:	Thomas Krichel
Date deposited:	10 Feb 2005
Last modified:	02 Oct 2014 12:00
URI:	http://hdl.handle.net/10760/5899

References

Barrueco Cruz, J. M., Krichel, T., & Trinidad, J. C. (2003). Organizing current awareness in a large digital library. Presented at the 2003 Conference on Users in Electronic Information Environments in Espoo, Finland, September 8-9, 2003, http://openlib.org/home/ krichel/papers/espoo.pdf.

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Bookstein, A. (2001). Implications of ambiguity for scientometric measurement. Journal of the American Society for Information Science and Technology, 52(1): 74-79.

Chu, H. & Krichel T. (2003). NEP: Current awareness service of the RePEc Digital Library. D-Lib Magazine, 9(12). http://www.dlib.org/dlib/december03/chu/12chu.html

Hosmer, A. W. & Lemeshow S. (2000). Applied logistic regression. New York, USA: John Wiley & Sons

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