“On the ruins of seriality”: The scientific journal and the nature of the scientific life

Author : Dorien Daling

Twenty-first-century discourse on science has been marked by narratives of crisis. Science is said to be experiencing crises of public trust, of peer review and publishing, of reproducibility and replicability, and of recognition and reward.

The dominant response has been to “repair” the scientific literature and the system of scientific publishing through open science. This paper places the current predicament of scholarly communication in historical perspective by exploring the evolution of the scientific journal in the second half of the twentieth century.

I focus on a new genre of scientific journal invented by Dutch commercial publishers shortly after World War II, and on its effects on the nature of the scientific life. I show that profit-oriented publishers and discipline-building scientists worked together to make postwar science more open, while also arguing that formats of scientific publication have their own agency.

URL : “On the ruins of seriality”: The scientific journal and the nature of the scientific life

DOI : https://doi.org/10.1016/j.endeavour.2023.100885

How many authors are (too) many? A retrospective, descriptive analysis of authorship in biomedical publications

Authors : Martin Jakab, Eva Kittl, Tobias Kiesslich

Publishing in academic journals is primary to disseminate research findings, with authorship reflecting a scientist’s contribution, yielding academic recognition, and carrying significant financial implications. Author numbers per article have consistently risen in recent decades, as demonstrated in various journals and fields.

This study is a comprehensive analysis of authorship trends in biomedical papers from the NCBI PubMed database between 2000 and 2020, utilizing the Entrez Direct (EDirect) E-utilities to retrieve bibliometric data from a dataset of 17,015,001 articles. For all publication types, the mean author number per publication significantly increased over the last two decades from 3.99 to 6.25 (+ 57%, p < 0.0001) following a linear trend (r2 = 0.99) with an average relative increase of 2.28% per year.

This increase was highest for clinical trials (+ 5.67 authors per publication, + 97%), the smallest for case reports (+ 1.01 authors, + 24%). The proportion of single/solo authorships dropped by a factor of about 3 from 17.03% in 2000 to 5.69% in 2020. The percentage of eleven or more authors per publication increased ~ sevenfold, ~ 11-fold and ~ 12-fold for reviews, editorials, and systematic reviews, respectively. Confirming prior findings, this study highlights the escalating authorship in biomedical publications.

Given potential unethical practices, preserving authorship as a trustable indicator of scientific performance is critical. Understanding and curbing questionable authorship practices and inflation are imperative, as discussed through relevant literature to tackle this issue.

URL : How many authors are (too) many? A retrospective, descriptive analysis of authorship in biomedical publications

DOI : https://doi.org/10.1007/s11192-024-04928-1

Digital Scholarly Journals Are Poorly Preserved: A Study of 7 Million Articles

Author : Martin Paul Eve

Introduction

Digital preservation underpins the persistence of scholarly links and citations through the digital object identifier (DOI) system. We do not currently know, at scale, the extent to which articles assigned a DOI are adequately preserved.

Methods

We construct a database of preservation information from original archival sources and then examine the preservation statuses of 7,438,037 DOIs in a random sample.

Results

Of the 7,438,037 works examined, there were 5.9 million copies spread over the archives used in this work. Furthermore, a total of 4,342,368 of the works that we studied (58.38%) were present in at least one archive. However, this left 2,056,492 works in our sample (27.64%) that are seemingly unpreserved.

The remaining 13.98% of works in the sample were excluded either for being too recent (published in the current year), not being journal articles, or having insufficient date metadata for us to identify the source.

Discussion

Our study is limited by design in several ways. Among these are the facts that it uses only a subset of archives, it only tracks articles with DOIs, and it does not account for institutional repository coverage. Nonetheless, as an initial attempt to gauge the landscape, our results will still be of interest to libraries, publishers, and researchers.

Conclusion

This work reveals an alarming preservation deficit. Only 0.96% of Crossref members (n = 204) can be confirmed to digitally preserve over 75% of their content in three or more of the archives that we studied. (Note that when, in this article, we write “preserved,” we mean “that we were able to confirm as preserved,” as per the specified limitations of this study.) A slightly larger proportion, i.e., 8.5% (n = 1,797), preserved over 50% of their content in two or more archives.

However, many members, i.e., 57.7% (n = 12,257), only met the threshold of having 25% of their material in a single archive. Most worryingly, 32.9% (n = 6,982) of Crossref members seem not to have any adequate digital preservation in place, which is against the recommendations of the Digital Preservation Coalition.

URL : Digital Scholarly Journals Are Poorly Preserved: A Study of 7 Million Articles

DOI : https://doi.org/10.31274/jlsc.16288

Comparison of effect estimates between preprints and peer-reviewed journal articles of COVID-19 trials

Authors : Mauricia Davidson, Theodoros Evrenoglou, Carolina Graña, Anna Chaimani, Isabelle Boutron

Background

Preprints are increasingly used to disseminate research results, providing multiple sources of information for the same study. We assessed the consistency in effect estimates between preprint and subsequent journal article of COVID-19 randomized controlled trials.

Methods

The study utilized data from the COVID-NMA living systematic review of pharmacological treatments for COVID-19 (covid-nma.com) up to July 20, 2022. We identified randomized controlled trials (RCTs) evaluating pharmacological treatments vs. standard of care/placebo for patients with COVID-19 that were originally posted as preprints and subsequently published as journal articles.

Trials that did not report the same analysis in both documents were excluded. Data were extracted independently by pairs of researchers with consensus to resolve disagreements. Effect estimates extracted from the first preprint were compared to effect estimates from the journal article.

Results

The search identified 135 RCTs originally posted as a preprint and subsequently published as a journal article. We excluded 26 RCTs that did not meet the eligibility criteria, of which 13 RCTs reported an interim analysis in the preprint and a final analysis in the journal article. Overall, 109 preprint–article RCTs were included in the analysis.

The median (interquartile range) delay between preprint and journal article was 121 (73–187) days, the median sample size was 150 (71–464) participants, 76% of RCTs had been prospectively registered, 60% received industry or mixed funding, 72% were multicentric trials. The overall risk of bias was rated as ‘some concern’ for 80% of RCTs.

We found that 81 preprint–article pairs of RCTs were consistent for all outcomes reported. There were nine RCTs with at least one outcome with a discrepancy in the number of participants with outcome events or the number of participants analyzed, which yielded a minor change in the estimate of the effect. Furthermore, six RCTs had at least one outcome missing in the journal article and 14 RCTs had at least one outcome added in the journal article compared to the preprint. There was a change in the direction of effect in one RCT. No changes in statistical significance or conclusions were found.

Conclusions

Effect estimates were generally consistent between COVID-19 preprints and subsequent journal articles. The main results and interpretation did not change in any trial. Nevertheless, some outcomes were added and deleted in some journal articles.

URL : Comparison of effect estimates between preprints and peer-reviewed journal articles of COVID-19 trials

DOI : https://doi.org/10.1186/s12874-023-02136-8

The impact of COVID-19 on the debate on open science: An analysis of expert opinion

Auteurs/Authors : Melanie Benson Marshall,  Stephen Pinfield, Pamela Abbott, Andrew Cox, Juan Pablo Alperin,  Natascha Chtena, Isabelle Dorsch, Alice Fleerackers, Monique Oliveira,
Isabella Peters

This study is an analysis of the international debate on open science that took place during the pandemic. It addresses the question, how did the COVID-19 pandemic impact the debate on open science?

The study takes the form of a qualitative analysis of a large corpus of key articles, editorials, blogs and thought pieces about the impact of COVID on open science, published during the pandemic in English, German, Portuguese, and Spanish.

The findings show that many authors believed that it was clear that the experience of the pandemic had illustrated or strengthened the case for open science, with language such as a “stress test”, “catalyst”, “revolution” or “tipping point” frequently used. It was commonly believed that open science had played a positive role in the response to the pandemic, creating a clear ‘line of sight’ between open science and societal benefits.

Whilst the arguments about open science deployed in the debate were not substantially new, the focuses of debate changed in some key respects. There was much less attention given to business models for open access and critical perspectives on open science, but open data sharing, preprinting, information quality and misinformation became most prominent in debates. There were also moves to reframe open science conceptually, particularly in connecting science with society and addressing broader questions of equity.

The impact of COVID-19 on the debate on open science: An analysis of expert opinion

DOI : https://doi.org/10.31235/osf.io/xy874

Determinants of manuscript submissions to fully open access journals: elasticity to article processing charges

Author : Sumiko Asai

Article processing charges that authors and research institutions pay to make articles open access are increasing. If manuscript submission is price elastic, then rising charges will cause a significant reduction in submissions, leading to decreased revenues under constant acceptance rates.

Therefore, the elasticity of manuscript submission to article processing charge is one of the determinants of publishers’ charges. However, several studies that investigated the determinants of article processing charges did not consider this elasticity.

This study investigated the determinants of submissions, including the elasticity to article processing charge, by formulating the number of manuscript submissions to fully open access journals published by Hindawi and Elsevier in 2022. Moreover, this study formulated manuscript submissions using both list prices and charges paid to Elsevier that OpenAPC collected to compare the results.

The estimation results reveal that the two publishers increase their revenues by raising the article processing charges due to the inelasticity. Moreover, these conclusions do not depend on the data set used, although the number of observations sourced from OpenAPC is small.

URL : Determinants of manuscript submissions to fully open access journals: elasticity to article processing charges

DOI : https://doi.org/10.1007/s11192-024-04934-3