Analysis of U.S. Federal Funding Agency Data Sharing Policies 2020 Highlights and Key Observations

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Authors : Reid I. Boehm, Hannah Calkins, Patricia B. Condon, Jonathan Petters, Rachel Woodbrook

Federal funding agencies in the United States (U.S.) continue to work towards implementing their plans to increase public access to funded research and comply with the 2013 Office of Science and Technology memo Increasing Access to the Results of Federally Funded Scientific Research.

In this article we report on an analysis of research data sharing policy documents from 17 U.S. federal funding agencies as of February 2021. Our analysis is guided by two questions: 1.) What do the findings suggest about the current state of and trends in U.S. federal funding agency data sharing requirements? 2.) In what ways are universities, institutions, associations, and researchers affected by and responding to these policies?

Over the past five years, policy updates were common among these agencies and several themes have been thoroughly developed in that time; however, uncertainty remains around how funded researchers are expected to satisfy these policy requirements.

URL : Analysis of U.S. Federal Funding Agency Data Sharing Policies 2020 Highlights and Key Observations

DOI : https://doi.org/10.2218/ijdc.v17i1.791

What are Researchers’ Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases

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Authors : Brigitte Mathiak, Nick Juty, Alessia Bardi, Julien Colomb, Peter Kraker

Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users’ wishes.

This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases were collected between 2019 and 2020. We categorized the information across 12 ‘topics’ and eight types of users.

While the availability of metadata was an expected topic of importance, users were also keen on receiving more information on data citation and a better overview of their field. We conducted and analysed a survey among data infrastructure specialists in a first attempt at ranking the requirements.

Between these data professionals, these rankings were very different, excepting the availability of metadata and data quality assessment.

URL : What are Researchers’ Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases

DOI : http://doi.org/10.5334/dsj-2023-003

The APC-Barrier and its effect on stratification in open access publishing

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Authors : Thomas Klebel, Tony Ross-Hellauer

Current implementations of Open Access (OA) publishing frequently involve Article Publishing Charges (APCs). Increasing evidence emerges that APCs impede researchers with fewer resources in publishing their research OA.

We analysed 1.5 million scientific articles from journals listed in the Directory of Open Access Journals to assess average APCs and their determinants for a comprehensive set of journal publications, across scientific disciplines, world regions and through time.

Levels of APCs were strongly stratified by scientific fields and the institutions’ countries, corroborating previous findings on publishing cultures and the impact of mandates of research funders.

After controlling for country and scientific field with a multilevel mixture model, however, we found small to moderate effects of levels of institutional resourcing on the level of APCs.

Effects were largest in countries with low GDP, suggesting decreasing marginal effects of institutional resources when general levels of funding are high. Our findings provide further evidence on how APCs stratify OA publishing and highlight the need for alternative publishing models.

URL : The APC-Barrier and its effect on stratification in open access publishing

DOI : https://doi.org/10.1162/qss_a_00245

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