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Anne Hobert

Publications and source records attributed to Anne Hobert.

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Reference Coverage Analysis of OpenAlex compared to Web of Science and Scopus

OpenAlex is a promising open source of scholarly metadata, and competitor to established proprietary sources, such as the Web of Science and Scopus. As OpenAlex provides its data freely and openly, it permits researchers to perform bibliometric studies that can be reproduced in the community without licensing barriers. However, as OpenAlex is a rapidly evolving source and the data contained within is expanding and also quickly changing, the question naturally arises as to the trustworthiness of its data. In this report, we will study the reference coverage and selected metadata within each database and compare them with each other to help address this open question in bibliometrics. In our large-scale study, we demonstrate that, when restricted to a cleaned dataset of 16.8 million recent publications shared by all three databases, OpenAlex has average source reference numbers and internal coverage rates comparable to both Web of Science and Scopus. We further analyse the metadata in OpenAlex, the Web of Science and Scopus by journal, finding a similarity in the distribution of source reference counts in the Web of Science and Scopus as compared to OpenAlex. We also demonstrate that the comparison of other core metadata covered by OpenAlex shows mixed results when broken down by journal, capturing more ORCID identifiers, fewer abstracts and a similar number of Open Access status indicators per article when compared to both the Web of Science and Scopus.

cs.DL

Understanding differences of the OA uptake within the Germany university landscape (2010-2020) -- Part 2: repository-provided OA

This study investigates the determinants for the uptake of institutional and subject repository Open Access (OA) in the university landscape of Germany and considers three factors: the disciplinary profile of universities, their OA infrastructures and services and large transformative agreements. The uptake of OA as well as the determinants are measured by combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 4.0 list, and lists of publications covered by transformative agreements). For universities OA infrastructures and services, a structured data collection was created by harvesting different sources of information and by manual online search. To determine the explanatory power of the different factors, a series of regression analyses was performed for different periods and for both institutional as well as subject repository OA. As a result of the regression analyses, the most determining factor for the explanation of differences in the uptake of both repository OA-types turned out to be the disciplinary profile, whereas all variables that capture local infrastructural support and services for OA turned out to be non-significant. The outcome of the regression analyses is contextualised by an interview study conducted with 20 OA officers of German universities. The contextualisation provides hints that the original function of institutional repositories, offering a channel for secondary publishing is vanishing, while a new function of aggregation of metadata and full texts is becoming of increasing importance.

cs.DL

Understanding differences of the OA uptake within the German university landscape (2010-2020). Part 1: journal-based OA

This study investigates the determinants for the uptake of Full and Hybrid Open Access (OA) in the university landscape of Germany. It adapts the governance equaliser as a heuristic for this purpose and distinguishes between three factors: The disciplinary profile (academic self-governance), infrastructures and services of universities that aim to support OA (managerial self-governance) and large transformative agreements (part of state regulation). The uptake of OA, the influence of the disciplinary profile of universities and the influence of transformative agreements is measured by combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 4.0 list, and lists of publications covered by transformative agreements). For managerial self-governance, a structured data collection was created by harvesting different sources of information and by manual online search. To determine the explanatory power of the different factors, a series of regression analyses was performed for different periods and for both Full as well as Hybrid OA. As a result of the regression analyses, the most determining factor for the explanation of differences in the uptake of both OA-types turned out to be academic self-governance. For the year 2020, Hybrid OA transformative agreements have become a second relevant factor. However, all variables that reflect local infrastructural support and services for OA (managerial self-governance) turned out to be non-significant. To deepen the understanding of the adoption of OA on the level of institutions, the outcomes of the regression analyses are contextualised by an interview study conducted with 20 OA officers of German universities.

cs.DL

No Deal: Investigating the Influence of Restricted Access to Elsevier Journals on German Researchers' Publishing and Citing Behaviours

In 2014, a union of German research organisations established Projekt DEAL, a national-level project to negotiate licensing agreements with large scientific publishers. Negotiations between DEAL and Elsevier began in 2016, and broke down without a successful agreement in 2018; in this time, around 200 German research institutions cancelled their license agreements with Elsevier, leading Elsevier to restrict journal access at those institutions from July 2018 onwards. We investigated the effect of these access restrictions on researchers' publishing and citing behaviours from a bibliometric perspective, using a dataset of ~410,000 articles published by researchers at the affected DEAL institutions between 2012-2020. We further investigated these effects with respect to the timing of contract cancellations with Elsevier, research disciplines, collaboration patterns, and article open-access status. We find evidence for a decrease in Elsevier's market share of articles from DEAL institutions, from a peak of 25.3% in 2015 to 20.6% in 2020, with the largest year-on-year market share decreases occurring in 2019 (-1.1%) and 2020 (-1.6%) following the implementation of access restrictions. We also observe year-on-year decreases in the proportion of citations made from articles published by authors at DEAL institutions to articles in Elsevier journals post-2018, although the decrease is smaller (-0.4% in 2019 and -0.6% in 2020) than changes in publishing volume. We conclude that Elsevier access restrictions have led to some reduced willingness of researchers at DEAL institutions to publish their research in Elsevier journals, but that researchers are not strongly affected in their ability to cite Elsevier articles, with the implication that researchers use a variety of other methods (e.g. interlibrary loans, sharing between colleagues, or "shadow libraries") to access scientific literature.

cs.DL

Open Access -- Towards a non-normative and systematic understanding

The term Open Access not only describes a certain model of scholarly publishing -- namely in digital format freely accessible to readers -- but often also implies that free availability of research results is desirable, and hence has a normative character. Together with the large variety of presently used definitions of different Open Access types, this normativity hinders a systematic investigation of the development of open availability of scholarly literature. In this paper, we propose a non-normative definition of Open Access and its usage as a neutral, descriptive term in bibliometric studies and research on science. To this end, we first specify what normative figures are commonly associated with the term Open Access and then develop a neutral definition. We further identify distinguishing characteristics of openly accessible literature, called dimensions, and derive a classification scheme into Open Access categories based on these dimensions. Additionally, we present an operationalisation method to assign scientific publications to the respective categories in practice. Here, we describe useful data sources, which can be employed to gather the information needed for the classification of scholarly works according to the presented classification scheme.

cs.DL