PUB - Publikationen an der Universität Bielefeld

BACKGROUND: The current Corona crisis underscores the importance of preprints, as they allow for rapid communication of research results without delay in review. To fully integrate this type of publication into library information systems, we developed preVIEW - a publicly available, central search engine for COVID-19 preprints that clearly distinguishes this source from peer-reviewed publications. The relationship between the preprint version and its corresponding journal version should be stored as metadata in both versions so that duplicates can be easily identified and information overload for researchers is reduced.; OBJECTIVE: In this work, we investigate the extent to which the relationship information between preprint and corresponding journal publication is present in the published metadata, how it can be further completed, and how it can be used in preVIEW to identify already re-published preprints and filter those duplicates in search results.; METHODS: We first analyze the information content available at the preprint servers themselves and the information that can be retrieved via Crossref. Moreover, we develop the algorithm Pre2Pub to find the corresponding reviewed article for each preprint. We integrate the results of those different resources into our search engine preVIEW, present the information in the result set overview and add filter options accordingly.; RESULTS: Preprints have found their place in the publication workflows, however, the link from a preprint to its corresponding journal publication is not completely covered in the metadata of the preprint servers or in Crossref. Our algorithm Pre2Pub is able to find about 16% more related journal articles with a precision of 99.27%. We also integrate this information in a transparent way within preVIEW so that researchers can use it in their search.; CONCLUSIONS: Relationships between preprint version and its journal version is valuable information that help researchers finding only previously unknown information in preprints. As long as there is no transparent and complete way to store this relationship in metadata, the Pre2Pub algorithm is a suitable extension to retrieve this information.; CLINICALTRIAL: