OpenCitations, an infrastructure organization for open scholarship

Authors : Silvio Peroni, David Shotton

OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies, thereby providing a disruptive alternative to traditional proprietary citation indexes.

Open citation data are valuable for bibliometric analysis, increasing the reproducibility of large-scale analyses by enabling publication of the source data. Following brief introductions to the development and benefits of open scholarship and to Semantic Web technologies, this paper describes OpenCitations and its data sets, tools, services, and activities.

These include the OpenCitations Data Model; the SPAR (Semantic Publishing and Referencing) Ontologies; OpenCitations’ open software of generic applicability for searching, browsing, and providing REST APIs over resource description framework (RDF) triplestores; Open Citation Identifiers (OCIs) and the OpenCitations OCI Resolution Service; the OpenCitations Corpus (OCC), a database of open downloadable bibliographic and citation data made available in RDF under a Creative Commons public domain dedication; and the OpenCitations Indexes of open citation data, of which the first and largest is COCI, the OpenCitations Index of Crossref Open DOI-to-DOI Citations, which currently contains over 624 million bibliographic citations and is receiving considerable usage by the scholarly community.

URL : OpenCitations, an infrastructure organization for open scholarship

DOI : https://doi.org/10.1162/qss_a_00023

International Collaboration in Open Access Publications: How Income Shapes International Collaboration

Authors : Michael Cary, Taylor Rockwell

Does the rise of open access journals change the way researchers collaborate? Specifically, since publishing in open access journals requires a publication fee, does income affect how researchers form international collaborations?

To answer this question, we create a new data set by scraping bibliographic data from Multidisciplinary Digital Publishing Institute (MDPI) journals. Using the four income group classifications from the World Bank Analytical Classifications, we find that researchers from low-income nations are more likely to form international collaborations than researchers from wealthier nations.

This result is verified to be significant using a series of pairwise Kolmogorov–Smirnov tests. We then study which nations most frequently form international collaborations with other nations and find that the USA, China, Germany, and France are the most preferred nations for forming international collaborations.

While most nations prefer to form international collaborations with high-income nations, some exceptions exist, where a nation most often forms international collaborations with a nearby nation that is either an upper-middle-income or lower-middle-income nation.

We further this analysis by showing that these results are apparent across the six different research categories established in the Frascati Manual. Finally, trends in publications in MDPI journals mirror trends seen in all journals, such as the continued increase in the percentage of published papers involving international collaboration.

URL : International Collaboration in Open Access Publications: How Income Shapes International Collaboration

DOI : https://doi.org/10.3390/publications8010013

An empirical assessment of transparency and reproducibility-related research practices in the social sciences (2014–2017)

Authors : Tom E. Hardwicke, Joshua D. Wallach, Mallory C. Kidwell, Theiss Bendixen, Sophia Crüwell, John P. A. Ioannidis

Serious concerns about research quality have catalysed a number of reform initiatives intended to improve transparency and reproducibility and thus facilitate self-correction, increase efficiency and enhance research credibility.

Meta-research has evaluated the merits of some individual initiatives; however, this may not capture broader trends reflecting the cumulative contribution of these efforts.

In this study, we manually examined a random sample of 250 articles in order to estimate the prevalence of a range of transparency and reproducibility-related indicators in the social sciences literature published between 2014 and 2017.

Few articles indicated availability of materials (16/151, 11% [95% confidence interval, 7% to 16%]), protocols (0/156, 0% [0% to 1%]), raw data (11/156, 7% [2% to 13%]) or analysis scripts (2/156, 1% [0% to 3%]), and no studies were pre-registered (0/156, 0% [0% to 1%]).

Some articles explicitly disclosed funding sources (or lack of; 74/236, 31% [25% to 37%]) and some declared no conflicts of interest (36/236, 15% [11% to 20%]). Replication studies were rare (2/156, 1% [0% to 3%]).

Few studies were included in evidence synthesis via systematic review (17/151, 11% [7% to 16%]) or meta-analysis (2/151, 1% [0% to 3%]). Less than half the articles were publicly available (101/250, 40% [34% to 47%]).

Minimal adoption of transparency and reproducibility-related research practices could be undermining the credibility and efficiency of social science research. The present study establishes a baseline that can be revisited in the future to assess progress.

URL : An empirical assessment of transparency and reproducibility-related research practices in the social sciences (2014–2017)

DOI : https://doi.org/10.1098/rsos.190806

A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility

Authors : Nicholas J Tierney, Karthik Ram

Data makes science possible. Sharing data improves visibility, and makes the research process transparent. This increases trust in the work, and allows for independent reproduction of results.

However, a large proportion of data from published research is often only available to the original authors. Despite the obvious benefits of sharing data, and scientists’ advocating for the importance of sharing data, most advice on sharing data discusses its broader benefits, rather than the practical considerations of sharing.

This paper provides practical, actionable advice on how to actually share data alongside research. The key message is sharing data falls on a continuum, and entering it should come with minimal barriers.

URL : https://arxiv.org/abs/2002.11626

Rethinking the Journal Impact Factor and Publishing in the Digital Age

Authors : Mark S. Nestor, Daniel Fischer, David Arnold, Brian Berman, James Q. Del Rosso

Clinical and experimental literature search has changed significantly over the past few decades, and with it, the way in which we value information. Today, our need for immediate access to relevant and specific literature, regardless of specialty, has led to a growing demand for open access to publications.

The Journal Impact Factor (JIF) has been a long-time standard for representing the quality or “prestige” of a journal, but it appears to be losing its relevance. Here, we define the JIF and deconstruct its validity as a modern measure of a journal’s quality, discuss the current models of academic publication, including their advantages and shortcomings, and discuss the benefits and shortcomings of a variety of open-access models, including costs to the author.

We have quantified a nonsubscribed physician’s access to full articles associated with dermatologic disease and aesthetics cited on PubMed. For some of the most common dermatology conditions, 23.1 percent of citations (ranging from 17.2% for melasma to 31.9% for malignant melanoma) were available as free full articles, and for aesthetic procedures, 18.9 percent of citations (ranging from 11.9% for laser hair removal to 27.9% for botulinum toxin) were available as free full articles.

Finally, we discuss existing alternative metrics for measuring journal impact and propose the adoption of a superior publishing model, one that satisfies modern day standards of scholarly knowledge pursuit and dissemination of scholarly publications for dermatology and all of medical science.

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028381/

Funding Sources for Open Access Article Processing Charges in the Social Sciences, Arts, and Humanities in the United States

Authors : Melissa H. Cantrell, Juleah A. Swanson

Article processing charges (APCs) are one method of many to ensure open access to research literature, but studies that explore the funding sources for such payments, especially as related to open access publications in the arts, humanities, and social sciences, have been limited.

This study seeks to understand the range of funding sources that are available and used by faculties in these disciplines to pay for APCs associated with publishing in open access journals, as well as attitudes towards and awareness of available institutional funds that may inflect future engagement with open access publishing.

The authors distributed a survey to faculty who had an open access journal article published in 2017 from three doctoral granting, high research activity universities in the United States.

Twenty-two scholars participated in the final survey, ten of whom indicated that they paid an APC for their publication. While the results cannot make generalizations about funding sources, they do suggest that both the prevalence of APCs as well as attitudes about open access engagement may be influenced by disciplinary self-identification.

This research contributes to discussions around the future of open access funding models as well as to disciplinary outreach regarding APC funding for journal publications.

URL : Funding Sources for Open Access Article Processing Charges in the Social Sciences, Arts, and Humanities in the United States

DOI : https://doi.org/10.3390/publications8010012