Archives des auteurs : Hans Dillaerts

Towards a new relevance for research libraries

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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

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

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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

Contours of a research ethics and integrity perspective on open science

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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

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