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Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

Posted on by Hans Dillaerts

Authors : Yukiko Sakai, Yosuke Miyata, Keiko Yokoi, Yuqing Wang, Keiko Kurata

While data sharing has received research interest in recent times, its real status remains unclear, owing to its ambiguous concept. To understand the current status of data sharing, this study examined primary reuse, data integration, and dataset release as the actual practices of data sharing.

A total of 963 articles, chosen from those published in 2018 and registered in the Web of Science global citation database, were manually checked. Existing data were reused in the mode of data integration (13.3%) as frequently as they were for the mode of primary reuse (12.1%). Dataset release was the least common mode (9.0%).

The results show the variation in data sharing and indicate the need for standardization of data description in articles based on thorough registration and expansion in public data archives to close the loop that results in the virtuous cycle of research data.

URL : Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

DOI : https://doi.org/10.1002/leap.1546

EN

Towards a new relevance for research libraries

Posted on by Hans Dillaerts

Author : Leo Waaijers

The invention of printing in 1455 by Johann Gutenberg and the invention of the World Wide Web in 1991 by Tim Berners-Lee have often been compared when it comes to making knowledge accessible. Both events marked a breakthrough with far-reaching social consequences.

The printing press led to the disappearance of monastic libraries and their scriptoriums as sources of knowledge, to make way for university libraries and publishers. The Web is again a revolution in the distribution of knowledge, embraced by the academic community and culminating in the Open Science movement. This editorial is an exploration into the challenges that this development poses for the roles of publishers and libraries.

URL : Towards a new relevance for research libraries

DOI : https://doi.org/10.53377/lq.13657

EN

Understanding differences of the OA uptake within the German university landscape (2010–2020): part 1—journal-based OA

Posted on by Hans Dillaerts

Authors : Niels Taubert, Anne Hobert, Najko Jahn, Andre Bruns, Elham Iravan

This study investigates the determinants for the uptake of Full and Hybrid Open Access (OA) in the university landscape of Germany and distinguishes between three factors: The disciplinary profile, infrastructures and services of universities that aim to support OA, and large transformative agreements.

The uptake of OA, the influence of the disciplinary profile of universities and the influence of transformative agreements is measured by combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 4.0 list, and lists of publications covered by transformative agreements).

For infrastructures and services that support OA, a structured data collection was created by harvesting different sources of information and by manual online search. To determine the explanatory power of the different factors, a series of regression analyses was performed for different periods and for both Full as well as Hybrid OA.

As a result of the regression analyses, the most determining factor for the explanation of differences in the uptake of both OA-types turned out to be the disciplinary profile. For the year 2020, Hybrid OA transformative agreements have become a second relevant factor.

However, all variables that reflect local infrastructural support and services for OA turned out to be non-significant. To deepen the understanding of the adoption of OA on the level of institutions, the outcomes of the regression analyses are contextualised by an interview study conducted with 20 OA officers of German universities.

URL : Understanding differences of the OA uptake within the German university landscape (2010–2020): part 1—journal-based OA

DOI : https://doi.org/10.1007/s11192-023-04716-3

EN

Contours of a research ethics and integrity perspective on open science

Posted on by Hans Dillaerts

Authors : Tom Lindemann, Lisa Häberlein

This article argues that adopting a research ethics and integrity perspective could support researchers in operationalizing the open science guiding principle “as open as possible, as closed as necessary” in a responsible and context-sensitive manner.

To that end, the article points out why the guiding principle as such provides only a limited extent of action-guidance and outlines the practical value of ethical reflection when it comes to translating open science into responsible research practice.

The article illustrates how research ethics and integrity considerations may help researchers understand the ethical rationale underpinning open science as well as recognize that limiting openness is necessary or at least normatively permissible in some situations.

Finally, the article briefly discusses possible consequences of integrating open science into a responsibility-centered framework and implications on research assessment.

URL : Contours of a research ethics and integrity perspective on open science

DOI : https://doi.org/10.3389/frma.2023.1052353

EN

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

Posted on by Hans Dillaerts

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

EN

In which fields are citations indicators of research quality?

Posted on by Hans Dillaerts

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

EN

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

Posted on by Hans Dillaerts

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