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Alexander Schniedermann

Publications and source records attributed to Alexander Schniedermann.

2 recordsLinked to original sources

Implicit reporting standards in bibliometric research: what can reviewers' comments tell us about reporting completeness?

The recent surge in bibliometric studies published has been accompanied by increasing diversity in the completeness of reporting these studies' details, affecting reliability, reproducibility, and robustness. Our study systematises the reporting of bibliometric research using open peer reviews. We examined 182 peer reviews of 85 bibliometric studies published in library and information science (LIS) journals and conference proceedings, and non-LIS journals. We extracted 968 reviewer comments and inductively classified them into 11 broad thematic categories and 68 sub-categories, determining that reviewers largely focus on the completeness and clarity of reporting data, methods, and results. We subsequently derived 49 recommendations for the details authors should report and compared them with the GLOBAL, PRIBA, and BIBLIO reporting guidelines to identify (dis)similarities in content. Our recommendations addressed 60-80% of the guidelines' items, while the guidelines covered 45-65% of our recommendations. Our recommendations provided greater range and specificity, but did not incorporate the functions of guidelines beyond addressing academic content. We argue that peer reviews provide valuable information for the development of future guidelines. Further, our recommendations can be read as the implicit community standards for reporting bibliometric studies and could be used by authors to aid complete and accurate reporting of their manuscripts.

cs.DL

Analysis of the Publication and Document Types in OpenAlex, Web of Science, Scopus, PubMed and Semantic Scholar

The assignment of document and publication types in scholarly databases plays an important role in bibliometrics, for example in decision-making or university rankings. However, scholarly databases apply different curation strategies and taxonomies when classifying documents which makes it difficult to compare results from different database providers. In this study, the bibliometric databases OpenAlex, Web of Science, Scopus, PubMed and Semantic Scholar are used to analyse the extent of data variation and compare different approaches to taxonomy and data curation. Using a shared corpus of 9,575,603 publications from 2012 to 2022, we found large differences in the classification of document types such as research articles and editorials in these databases. We can also show that many of the records that lack a publication type in OpenAlex are classified as conference proceedings in Scopus and Semantic Scholar.

cs.DL