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Krichel, T., & Bakkalbasi, N. Metadata characteristics as predictors for editor selectivity in a current awareness service, 2005. (Unpublished) [Report].

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Citable URI: http://hdl.handle.net/10760/5899

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Author(s): Krichel, Thomas
Bakkalbasi, Nisa
Title: Metadata characteristics as predictors for editor selectivity in a current awareness service
Subjects: B. Information use and sociology of information > BG. Information dissemination and diffusion
Date: 2005
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.
Keywords: Current awareness; SDI (Selective dissemination of information); Digital library; Binary logistic regression analysis
Country: United States
Type: Report
Rights: http://eprints.rclis.org/copyright/



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.
  • Bensman, S. J. (2000). Probability distributions in Library and Information Science: A historical and practitioner viewpoint. Journal of the American Society for Information Science and Technology, 51(9), 816-833.
  • 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
  • Maindonald, J. & Braun, J. (2003). Data analysis and graphics using R – an example-based approach. Cambridge, UK: Cambridge University Press.

 

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