Supporting diamond open access journals. Interest and feasibility of direct funding mechanisms

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Authors : Quentin Dufour, David Pontille, Didier Torny

More and more academics and governements consider that the open access model based on Article Processing Charges (APC) is problematic, not only due to the inequalities it generates and reinforces, but also because it has become unsustainable and even opposed to open access values.

They consider that scientific publishing based on a model where both authors and readers do not pay, the so-called Diamond, or non-APC model, should be developed and supported. However, beyond the display of such a support on an international scale, the landscape of Diamond journals is rather in the form of loosely connected archipelagos, and not systematically funded.

This article explores the practical conditions to implement a direct funding mechanism to such journals, that is reccurent money provided by a funder to support the publication process.

Following several recommendations from institutional actors in the open access world, we consider the hypothesis that such a funding would be fostered by research funding organizations (RFOs), which have been essential to the expansion of the APC model, and now show interest in supporting other models.

Based on a questionnaire survey sent to more thant 1000 Diamond Open Access journals, this article analyzes their financial needs, as well as their capacity to interact with funders. It is structured around four issues regarding the implementation of a direct funding model: do Diamond journals really make use of money, and to what end? Do they need additional money?

Are they able to engage monetary transactions? Are they able to meet RFOs visibility requirements? We show that a majority of OA Diamond journals could make use of a direct funding mechanism with certain adjustments. We conclude on the challenges that such a financial stream would spur.

URL : Supporting diamond open access journals. Interest and feasibility of direct funding mechanisms

DOI : https://doi.org/10.1101/2023.05.03.539231

In which fields are citations indicators of research quality?

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Authors : Mike Thelwall, Kayvan Kousha, Emma Stuart, Meiko Makita, Mahshid Abdoli, Paul Wilson, Jonathan Levitt

Citation counts are widely used as indicators of research quality to support or replace human peer review and for lists of top cited papers, researchers, and institutions. Nevertheless, the relationship between citations and research quality is poorly evidenced. We report the first large-scale science-wide academic evaluation of the relationship between research quality and citations (field normalized citation counts), correlating them for 87,739 journal articles in 34 field-based UK Units of Assessment (UoA).

The two correlate positively in all academic fields, from very weak (0.1) to strong (0.5), reflecting broadly linear relationships in all fields. We give the first evidence that the correlations are positive even across the arts and humanities. The patterns are similar for the field classification schemes of Scopus and Dimensions.ai, although varying for some individual subjects and therefore more uncertain for these.

We also show for the first time that no field has a citation threshold beyond which all articles are excellent quality, so lists of top cited articles are not pure collections of excellence, and neither is any top citation percentile indicator. Thus, while appropriately field normalized citations associate positively with research quality in all fields, they never perfectly reflect it, even at high values.

URL : In which fields are citations indicators of research quality?

DOI : https://doi.org/10.1002/asi.24767

Looking Back to the Future: A Glimpse at Twenty Years of Data Science

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Author : Lili Zhang

This paper carries out a lightweight review to explore the potentials of data science in the last two decades and especially focuses on the four essential components: data resources, technologies, data infrastructures, and data education.

Considering the barriers of data science, the analysis has been mapped into four essential components, highlighting priorities and challenges in social and cultural, epistemological, scientific and technical, economic, legal, and ethical aspects.

As a result, the future development of data science tends to shift toward datafication, data technicity, infrastructuralism, and data literacy empowerment. The data ecosystem, at the macro level, has also been analyzed under the open science umbrella, providing a snapshot for the future development of data science.

URL : Looking Back to the Future: A Glimpse at Twenty Years of Data Science

DOI : https://doi.org/10.5334/dsj-2023-007

Rhetorical Features and Functions of Data References in Academic Articles

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Authors : Sara Lafia, Andrea Thomer, Elizabeth Moss, David Bleckley, Libby Hemphill

Data reuse is a common practice in the social sciences. While published data play an essential role in the production of social science research, they are not consistently cited, which makes it difficult to assess their full scholarly impact and give credit to the original data producers.

Furthermore, it can be challenging to understand researchers’ motivations for referencing data. Like references to academic literature, data references perform various rhetorical functions, such as paying homage, signaling disagreement, or drawing comparisons. This paper studies how and why researchers reference social science data in their academic writing.

We develop a typology to model relationships between the entities that anchor data references, along with their features (access, actions, locations, styles, types) and functions (critique, describe, illustrate, interact, legitimize). We illustrate the use of the typology by coding multidisciplinary research articles (n = 30) referencing social science data archived at the Inter-university Consortium for Political and Social Research (ICPSR).

We show how our typology captures researchers’ interactions with data and purposes for referencing data. Our typology provides a systematic way to document and analyze researchers’ narratives about data use, extending our ability to give credit to data that support research.

URL : Rhetorical Features and Functions of Data References in Academic Articles

DOI : https://doi.org/10.5334/dsj-2023-010

To Preprint or Not to Preprint: Experience and Attitudes of Researchers Worldwide

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Authors : Rong Ni, Ludo Waltman

The pandemic has underlined the significance of open science and spurred further growth of preprinting. Nevertheless, preprinting has been adopted at varying rates across different countries/regions.

To investigate researchers’ experience with and attitudes toward preprinting, we conducted a survey of authors of research papers published in 2021 or 2022. We find that respondents in the US and Europe had a higher level of familiarity with and adoption of preprinting than those in China and the rest of the world. Respondents in China were most worried about the lack of recognition for preprinting and the risk of getting scooped.

US respondents were very concerned about premature media coverage of preprints, the reliability and credibility of preprints, and public sharing of information before peer review. Respondents identified integration of preprinting in journal submission processes as the most important way to promote preprinting.

DOI : https://doi.org/10.55835/6442f782b2b5580ba561406b

NSF Fellows’ perceptions about incentives, research misconduct, and scientific integrity in STEM academia

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Authors : Siddhartha Roy, Marc A. Edwards

There is increased concern about perverse incentives, quantitative performance metrics, and hyper-competition for funding and faculty positions in US academia.

Recipients of the prestigious National Science Foundation Graduate Research Fellowships (n = 244) from Civil and Environmental Engineering (45.5%) and Computer Science and Engineering (54.5%) were anonymously surveyed to create a baseline snapshot of their perceptions, behaviors and experiences. NSF Fellows ranked scientific advancement as the top metric for evaluating academics followed by publishing in high-impact journals, social impact of research, and publication/citation counts.

The self-reported rate of academic cheating was 16.7% and of research misconduct was 3.7%. Thirty-one percent of fellows reported direct knowledge of graduate peers cheating, and 11.9% had knowledge of research misconduct by colleagues. Only 30.7% said they would report suspected misconduct.

A majority of fellows (55.3%) felt that mandatory ethics trainings left them unprepared for dealing with ethical issues. Fellows stated academic freedom, flexible schedules and opportunity to mentor students were the most positive aspects of academia, whereas pressures for funding, publication, and tenure were cited as the most negative aspects.

These data may be useful in considering how to better prepare STEM graduate trainees for academic careers.

URL : NSF Fellows’ perceptions about incentives, research misconduct, and scientific integrity in STEM academia

DOI : https://doi.org/10.1038/s41598-023-32445-3

Missing a golden opportunity? An analysis of publication trends by income level in the Directory of Open Access Journals 1987–2020

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Authors : David Druelinger, Lai Ma

The growing prevalence of the gold open access model can exacerbate the monoculture of research and inequality in knowledge production. This study examines publication trends in the Directory of Open Access Journals (DOAJ) journals by countries’ income level from 1987 to 2020.

By combining article metadata from journals listed in the DOAJ with World Bank country income data, this analysis examines the trends visible in plots of historical open access publication data. In 2020, the number of articles published in DOAJ journals by authors affiliated with high-income countries exceeds the sum of the other income categories. Article processing charge waivers seem to have more impact on high- and low-income countries than middle-income countries.

The results show that the gold open access model has not been able to improve the extremely low number of open access articles from low-income regions. In addition, authors in middle-income countries publish in gold open access DOAJ journals at lower rates than authors based in other economic regions.

The gold open access model is disadvantageous to researchers outside of high-income countries, highlighting the importance of supporting the diamond open access model as a potential means of improving global equity and epistemic diversity in knowledge production.

URL : Missing a golden opportunity? An analysis of publication trends by income level in the Directory of Open Access Journals 1987–2020

DOI : https://doi.org/10.1002/leap.1543