Data sets for author name disambiguation: an empirical analysis and a new resource.

ABSTRACT: Data sets of publication meta data with manually disambiguated author names play an important role in current author name disambiguation (AND) research. We review the most important data sets used so far, and compare their respective advantages and shortcomings. From the results of this review, we derive a set of general requirements to future AND data sets. These include both trivial requirements, like absence of errors and preservation of author order, and more substantial ones, like full disambiguation and adequate representation of publications with a small number of authors and highly variable author names. On the basis of these requirements, we create and make publicly available a new AND data set, SCAD-zbMATH. Both the quantitative analysis of this data set and the results of our in

SUBMITTER: Muller MC 

PROVIDER: S-EPMC5438420 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature