作者: Heidi Holst Madsen , Dicte Madsen , Marianne Gauffriau
DOI: 10.12688/F1000RESEARCH.8913.2
关键词:
摘要: Unique identifiers (UID) are seen as an effective key to match identical publications across databases or identify duplicates in a database. The objective of the present study is investigate how well UIDs work keys integration between Pure and SciVal, based on case with from health sciences. We evaluate matching process information about coverage, precision, characteristics matched versus not keys. analyze this detect errors, if any, process. As example we also briefly discuss publication sets formed by using may affect bibliometric indicators number publications, citations, average citations per publication. The addressed literature review study. shows that only few studies key. From four error types: Duplicate digital object (DOI), incorrect DOIs reference lists databases, registered database where analysis performed, erroneous optical special character recognition. explores use SciVal. Specifically journal English two databases. find all types except recognition our sets. In particular duplicate constitute problem for calculation both keeping improve reliability citation counts deleting them will distort publication. linking implemented many settings, availability become critical inclusion analysis.