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The study of science at the individual micro-level frequently requires thedisambiguation of author names. The creation of author's publication oeuvresinvolves matching the list of unique author names to names used in publicationdatabases. Despite recent progress in the development of unique authoridentifiers, e.g., ORCID, VIVO, or DAI, author disambiguation remains a keyproblem when it comes to large-scale bibliometric analysis using data frommultiple databases. This study introduces and validates a new methodologycalled seed+expand for semi-automatic bibliographic data collection for a givenset of individual authors. Specifically, we identify the oeuvre of a set ofDutch full professors during the period 1980-2011. In particular, we combineauthor records from the National Research Information System (NARCIS) withpublication records from the Web of Science. Starting with an initial list of8,378 names, we identify "seed publications" for each author using fivedifferent approaches. Subsequently, we "expand" the set of publication in threedifferent approaches. The different approaches are compared and resultingoeuvres are evaluated on precision and recall using a "gold standard" datasetof authors for which verified publications in the period 2001-2010 areavailable.

"Seed+Expand": A validated methodology for creating high quality publication oeuvres of individual researchers