Multilingual publishing in the social sciences and humanities: A seven-country European study.

We investigate the state of multilingualism across the social sciences and humanities (SSH) using a comprehensive data set of research outputs from seven European countries (Czech Republic, Denmark, Finland, Flanders [Belgium], Norway, Poland, and Slovenia). Although English tends to be the dominant language of science, SSH researchers often produce culturally and societally relevant work in their local languages. We collected and analyzed a set of 164,218 peer-reviewed journal articles (produced by 51,063 researchers from 2013 to 2015) and found that multilingualism is prevalent despite geographical location and field. Among the researchers who published at least three journal articles during this time period, over one-third from the various countries had written their work in at least two languages. The highest share of researchers who published in only one language were from Flanders (80.9%), whereas the lowest shares were from Slovenia (57.2%) and Poland (59.3%). Our findings show that multilingual publishing is an ongoing practice in many SSH research fields regardless of geographical location, political situation, and/or historical heritage. Here we argue that research is international, but multilingual publishing keeps locally relevant research alive with the added potential for creating impact.

How to identify peer-reviewed publications: Open-identity labels in scholarly book publishing.

This article discusses the open-identity label, i.e., the practice of disclosing reviewers' names in published scholarly books, a common practice in Central and Eastern European countries. This study's objective is to verify whether the open-identity label is a type of peer-review label (like those used in Finland and Flanders, i.e., the Flemish part of Belgium), and as such, whether it can be used as a delineation criterion in various systems used to evaluate scholarly publications. We have conducted a two-phase sequential explanatory study. In the first phase, interviews with 20 of the 40 largest Polish publishers of scholarly books were conducted to investigate how Polish publishers control peer reviews and whether the open-identity label can be used to identify peer-reviewed books. In the other phase, two questionnaires were used to analyze perceptions of peer-review and open-identity labelling among authors (n = 600) and reviewers (n = 875) of books published by these 20 publishers. Integrated results allowed us to verify publishers' claims concerning their peer-review practices. Our findings reveal that publishers actually control peer reviews by providing assessment criteria to reviewers and sending reviews to authors. Publishers rarely ask for permission to disclose reviewers' names, but it is obvious to reviewers that this practice of disclosing names is part of peer reviewing. This study also shows that only the names of reviewers who accepted manuscripts for publication are disclosed. Thus, most importantly, our analysis shows that the open-identity label that Polish publishers use is a type of peer-review label like those used in Flanders and Finland, and as such, it can be used to identify peer-reviewed scholarly books.

Does an expert-based evaluation allow us to go beyond the Impact Factor? Experiences from building a ranking of national journals in Poland.

This article discusses the Polish Journal Ranking, which is used in the research evaluation system in Poland. In 2015, the ranking, which represents all disciplines, allocated 17,437 journals into three lists: A, B, and C. The B list constitutes a ranking of Polish journals that are indexed neither in the Web of Science nor the European Reference Index for the Humanities. This ranking was built by evaluating journals in three dimensions: formal, bibliometric, and expert-based. We have analysed data on 2035 Polish journals from the B list. Our study aims to determine how an expert-based evaluation influenced the results of final evaluation. In our study, we used structural equation modelling, which is regression based, and we designed three pairs of theoretical models for three fields of science: (1) humanities, (2) social sciences, and (3) engineering, natural sciences, and medical sciences. Each pair consisted of the full model and the reduced model (i.e., the model without the expert-based evaluation). Our analysis revealed that the multidimensional evaluation of local journals should not rely only on the bibliometric indicators, which are based on the Web of Science or Scopus. Moreover, we have shown that the expert-based evaluation plays a major role in all fields of science. We conclude with recommendations that the formal evaluation should be reduced to verifiable parameters and that the expert-based evaluation should be based on common guidelines for the experts.