Influence of research on open science in the public policy sphere

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Authors : Daniela De Filippo, Pablo Sastrón‑Toledo

This paper analyses the scientific activity related to open science in Spain and its influence on public policy from a bibliometric perspective. For this purpose, Spanish centres’ projects and publications on open science from 2010 to 2020 are studied. Subsequently, policy documents using papers related to open science are analysed to study their influence on policymaking.

A total of 142 projects and 1491 publications are analysed, 15% of which are mentioned in policy documents.

The publications cited in policy documents display high proportions of international collaboration, open access publication and publication in first-quartile journals. The findings underline governments’ leading role in the implementation of open science policies and the funding of open science research.

The same government agencies that promote and fund open science research are shown to use that research in their institutional reports, a process known as knowledge flow feedback.

Other non-academic actors are also observed to make use of the knowledge produced by open science research, showing how the open science movement has crossed the boundaries of academia.

URL : Influence of research on open science in the public policy sphere

DOI : https://doi.org/10.1007/s11192-023-04645-1

Cluster Analysis of Open Research Data: A Case for Replication Metadata

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Author : Ana Trisovic

Research data are often released upon journal publication to enable result verification and reproducibility. For that reason, research dissemination infrastructures typically support diverse datasets coming from numerous disciplines, from tabular data and program code to audio-visual files. Metadata, or data about data, is critical to making research outputs adequately documented and FAIR.

Aiming to contribute to the discussions on the development of metadata for research outputs, I conducted an exploratory analysis to determine how research datasets cluster based on what researchers organically deposit together. I use the content of over 40,000 datasets from the Harvard Dataverse research data repository as my sample for the cluster analysis.

I find that the majority of the clusters are formed by single-type datasets, while in the rest of the sample, no meaningful clusters can be identified. For the result interpretation, I use the metadata standard employed by DataCite, a leading organization for documenting a scholarly record, and map existing resource types to my results.

About 65% of the sample can be described with a single-type metadata (such as Dataset, Software orReport), while the rest would require aggregate metadata types. Though DataCite supports an aggregate type such as a Collection, I argue that a significant number of datasets, in particular those containing both data and code files (about 20% of the sample), would be more accurately described as a Replication resource metadata type. Such resource type would be particularly useful in facilitating research reproducibility.

URL : Cluster Analysis of Open Research Data: A Case for Replication Metadata

DOI : https://doi.org/10.2218/ijdc.v17i1.833

Model(s) of the future? Overlay journals as an overlooked and emerging trend in scholarly communication

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Authors : Gail M. Thornton, Emily Kroeker

Overlay journals, a potentially overlooked model of scholarly communication, have seen a resurgence due to the increasing number of preprint repositories and preprints on coronavirus disease 2019 (COVID-19) related topics.

Overlay journals at various stages of maturity were examined for unique characteristics, including whether the authors submitted their article to the journal, whether the peer reviews of the article were published by the overlay journal, and whether the overlay journals took advantage of opportunities for increased discovery.

As librarians and researchers seek new, futuristic models for publishing, overlay journals are emerging as an important contribution to scholarly communication.

URL : Model(s) of the future? Overlay journals as an overlooked and emerging trend in scholarly communication

DOI : https://doi.org/10.5206/cjils-rcsib.v45i2.14730

Investigation of potential gender bias in the peer review system at Reproduction

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Authors : Marie Biolková, Tom Moore, Karen Schindler, Karl Swann, Andy Vail, Lindsay Flook, Helen Dick, Greg Fitzharris, Christopher A. Price, Norah Spears

This study examined whether publication outcome was affected by the gender of author, handling associate editor (AE), or reviewer, and whether there was gender bias in reviewer selection, in the journal Reproduction.

Analyses were carried out on 4289 original research manuscripts submitted to the journal between 2007 and 2019. Both female and male AEs appointed more male reviewers than female reviewers, but female AEs were significantly more likely to appoint female reviewers than male AEs were (p < 0.001).

When examining the gender of either first or last author manuscripts, those with female authors that were reviewed by female reviewers received better scores than those with male authors that were reviewed by female reviewers (p < 0.05): where the reviewer was male, no such effect was observed.

Acceptance rates of manuscripts were similar for both female and male authors, whether first or last, regardless of AE gender. Overall, there was no significant correlation between gender of first or last author, or of AE, on the likelihood of acceptance of a research paper.

These data suggest no bias against female authors during the peer review process in this reproductive biology journal.

URL : Investigation of potential gender bias in the peer review system at Reproduction

DOI : https://doi.org/10.1002/leap.1537

Leveraging Open Tools to Realize the Potential of Self-Archiving: A Cohort Study in Clinical Trials

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Author : Delwen L. Franzen

While open access (OA) is growing, many publications remain behind a paywall. This limits the impact of research and entrenches global inequalities by restricting access to knowledge to those that can afford it.

Many journal policies allow researchers to make a version of their publication openly accessible through self-archiving in a repository, sometimes after an embargo period (green OA). Unpaywall and Shareyourpaper are open tools that help users find OA articles and support authors to legally self-archive their papers, respectively.

This study leveraged these tools to assess the potential of green OA to increase discoverability in a cohort of clinical trial results publications from German university medical centers. Of the 1897 publications in this cohort, 46% (n = 871/1897, 95% confidence interval (CI) 44% to 48%) were neither openly accessible via a journal or a repository. Of these, 85% (n = 736/871, 95% CI 82% to 87%) had a permission to self-archive the accepted or published version in an institutional repository.

Thus, most of the closed-access clinical trial results in this cohort could be made openly accessible in a repository, in line with World Health Organization (WHO) recommendations.

In addition to providing further evidence of the unrealized potential of green OA, this study demonstrates the use of open tools to obtain actionable information on self-archiving at scale and empowers efforts to increase science discoverability.

URL : Leveraging Open Tools to Realize the Potential of Self-Archiving: A Cohort Study in Clinical Trials

DOI : https://doi.org/10.3390/publications11010004

`Pandem-icons’ — exploring the characteristics of highly visible scientists during the Covid-19 pandemic

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Authors : Marina Joubert, Lars Guenther, Jenni Metcalfe, Michelle Riedlinger, Anwesha Chakraborty, Toss Gascoigne, Bernard Schiele, Ayelet Baram-Tsabari, Dmitry Malkov, Eliana Fattorini, Gema Revuelta, Germana Barata, Jan Riise, Justin T. Schröder, Maja Horst, Margaret Kaseje, Marnell Kirsten, Martin W. Bauer, Massimiano Bucchi, Natália Flores, Orli Wolfson, Tingjie Chen

The Covid-19 pandemic escalated demand for scientific explanations and guidance, creating opportunities for scientists to become publicly visible. In this study, we compared characteristics of visible scientists during the first year of the Covid-19 pandemic (January to December 2020) across 16 countries.

We find that the scientists who became visible largely matched socio-cultural criteria that have characterised visible scientists in the past (e.g., age, gender, credibility, public image, involvement in controversies).

However, there were limited tendencies that scientists commented outside their areas of expertise. We conclude that the unusual circumstances created by Covid-19 did not change the phenomenon of visible scientists in significant ways.

URL : `Pandem-icons’ — exploring the characteristics of highly visible scientists during the Covid-19 pandemic

DOI : https://doi.org/10.22323/2.22010204

Science knowledge and trust in science in biodiversity citizen science projects

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Authors : Baptiste Bedessem, Anne Dozières, Anne-Caroline Prévot, Romain Julliard

Citizen science projects are valued for their impact on participants’ knowledge, attitude and behavior towards science. In this paper, we explore how participation in biodiversity citizen science projects is correlated to different dimensions of trust in science.

We conduct a quantitative study through an online survey of 1,199 individuals, 586 of them being part of a biodiversity citizen science program in France. Our results suggest that participation-related trust is more exhaustive — it covers more dimensions of the scientific endeavor — than education-related trust.

This exploratory study calls for more empirical research on the links between citizen science and the different dimensions of public trust in science.

URL : Science knowledge and trust in science in biodiversity citizen science projects

DOI : https://doi.org/10.22323/2.22010205