Open AccessMetadata characteristics as predictors for editor selectivity in a current awareness service
Author(s) -
Krichel Thomas,
Bakkalbasi Nisa
Publication year - 2005
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14504201132
Subject(s) - reputation , service (business) , computer science , metadata , subject (documents) , quality (philosophy) , filter (signal processing) , process (computing) , logistic regression , resource (disambiguation) , data science , world wide web , business , marketing , political science , machine learning , computer network , philosophy , epistemology , law , computer vision , operating system
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.