Publication practices during the COVID-19 pandemic: Expedited publishing or simply an early bird effect?

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Authors : Yulia V. Sevryugina, Andrew J. Dicks

This study explores the evolution of publication practices associated with the SARS-CoV-2 research papers, namely, peer-reviewed journal and review articles indexed in PubMed and their associated preprints posted on bioRxiv and medRxiv servers: a total of 4,031 journal article-preprint pairs.

Our assessment of various publication delays during the January 2020 to March 2021 period revealed the early bird effect that lies beyond the involvement of any publisher policy action and is directly linked to the emerging nature of new and ‘hot’ scientific topics.

We found that when the early bird effect and data incompleteness are taken into account, COVID-19 related research papers show only a moderately expedited speed of dissemination as compared with the pre-pandemic era.

Medians for peer-review and production stage delays were 66 and 15 days, respectively, and the entire conversion process from a preprint to its peer-reviewed journal article version took 109.5 days.

The early bird effect produced an ephemeral perception of a global rush in scientific publishing during the early days of the coronavirus pandemic. We emphasize the importance of considering the early bird effect in interpreting publication data collected at the outset of a newly emerging event.

URL : Publication practices during the COVID-19 pandemic: Expedited publishing or simply an early bird effect?

DOI : https://doi.org/10.1002/leap.1483

A focus groups study on data sharing and research data management

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Authors : Devan Ray Donaldson, Joshua Wolfgang Koepke

Data sharing can accelerate scientific discovery while increasing return on investment beyond the researcher or group that produced them. Data repositories enable data sharing and preservation over the long term, but little is known about scientists’ perceptions of them and their perspectives on data management and sharing practices.

Using focus groups with scientists from five disciplines (atmospheric and earth science, computer science, chemistry, ecology, and neuroscience), we asked questions about data management to lead into a discussion of what features they think are necessary to include in data repository systems and services to help them implement the data sharing and preservation parts of their data management plans.

Participants identified metadata quality control and training as problem areas in data management. Additionally, participants discussed several desired repository features, including: metadata control, data traceability, security, stable infrastructure, and data use restrictions. We present their desired repository features as a rubric for the research community to encourage repository utilization. Future directions for research are discussed.

URL : A focus groups study on data sharing and research data management

DOI : https://doi.org/10.1038/s41597-022-01428-w

The financial maintenance of social science data archives: Four case studies of long-term infrastructure work

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Authors : Kristin R. Eschenfelder, Kalpana Shankar, Greg Downey

Contributing to the literature on knowledge infrastructure maintenance, this article describes a historical longitudinal analysis of revenue streams employed by four social science data organizations: the Roper Center for Public Opinion, the Inter-university Consortium for Political and Social Research (ICPSR), the UK Data Archive (UKDA), and the LIS Cross-National Data Center in Luxembourg (LIS).

Drawing on archival documentation and interviews, we describe founders’ assumptions about revenue, changes to revenue streams over the long term, practices for developing and maintaining revenue streams, the importance of financial support from host organizations, and how the context of each data organization shaped revenue possibilities.

We extend conversations about knowledge infrastructure revenue streams by showing the types of change that have occurred over time and how it occurs. We provide examples of the types of flexibility needed for data organizations to remain sustainable over 40–60 years of revenue changes.

We distinguish between Type A flexibilities, or development of new products and services, and Type B flexibilities, or continuous smaller adjustments to existing revenue streams. We argue that Type B flexibilities are as important as Type A, although they are easily overlooked. Our results are relevant to knowledge infrastructure managers and stakeholders facing similar revenue challenges.

URL : The financial maintenance of social science data archives: Four case studies of long-term infrastructure work

DOI : https://doi.org/10.1002/asi.24691

Practices Before Policy: Research Data Management Behaviours in Canada

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Authors : Melissa Cheung, Alexandra Cooper, Dylanne Dearborn, Elizabeth Hill, Erin Johnson, Marjorie Mitchell, Kristi Thompson

In anticipation of the then forthcoming Tri-Agency Research Data Management Policy, a consortium of professionals from Canadian university libraries surveyed researchers on their research data management (RDM) practices, attitudes, and interest in data management services.

Data collected from three surveys targeting researchers in science and engineering, humanities and social sciences, and health sciences and medicine were compiled to create a national dataset.

The present study is the first large-scale survey investigating researcher RDM practices in Canada, and one of the few recent multi-institutional and multidisciplinary surveys on this topic.

This article presents the results of the survey to assess researcher readiness to meet RDM policy requirements, namely the preparation of data management plans (DMPs) and data deposit in a digital repository.

The survey results also highlight common trends across the country while revealing differences in practices and attitudes between disciplines. Based on our survey results, most researchers would have to change their RDM behaviors to meet Tri-Agency RDM policy requirements.

The data we gathered provides insights that can help institutions prioritize service development and infrastructure that will meet researcher needs.

URL : Practices Before Policy: Research Data Management Behaviours in Canada

DOI : https://doi.org/10.21083/partnership.v17i1.6779

Open research data: A case study into institutional and infrastructural arrangements to stimulate open research data sharing and reuse

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Authors : Thijmen van Gend, Anneke Zuiderwijk

This study investigates which combination of institutional and infrastructural arrangements positively impact research data sharing and reuse in a specific case. We conducted a qualitative case study of the institutional and infrastructural arrangements implemented at Delft University of Technology in the Netherlands.

In the examined case, it was fundamental to change the mindset of researchers and to make them aware of the benefits of sharing data. Therefore, arrangements should be designed bottom-up and used as a “carrot” rather than as a “stick.” Moreover, support offered to researchers should cover at least legal, financial, administrative, and practical issues of research data management and should be informal in nature.

Previous research describes generic institutional and infrastructural instruments that can stimulate open research data sharing and reuse. This study is among the first to analyze what and how infrastructural and institutional arrangements work in a particular context. It provides the basis for other scholars to study such arrangements in different contexts.

Open data policymakers, universities, and open data infrastructure providers can use our findings to stimulate data sharing and reuse in practice, adapted to the contextual situation. Our study focused on a single case and a particular part of the university.

We recommend repeating this research in other contexts, that is, at other universities, faculties, and involving other research data infrastructure providers.

URL : Open research data: A case study into institutional and infrastructural arrangements to stimulate open research data sharing and reuse

DOI : https://doi.org/10.1177/09610006221101200

Le « cas Raoult » ou la controverse médicale amplifiée par l’influence personnelle

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Auteur-ices/Authors : Stéphanie Lukasik, Marc Bassoni

La controverse médicale incarnée en France par le Professeur Didier Raoult a constitué un enjeu communicationnel inédit durant la pandémie de Covid-19. Surmédiatisé, le cadre traditionnel des controverses scientifiques a basculé vers l’espace socionumérique des confrontations d’opinions tranchées et des polémiques propices aux fake news et à la « ré-information ».

Dans un premier temps, les auteurs explicitent la stratégie de communication « directe » adoptée par le professeur Raoult. Dans un deuxième temps, à partir de la page Facebook intitulée « Didier Raoult officiel », les auteurs procèdent à une comptabilité des interactions induites, durant trois mois, par les posts opérés sur ladite page.

Enfin, dans un troisième temps, en examinant le partage de contenus opéré par des usagers-récepteurs de cette page, les auteurs mettent en lumière certains éléments d’homophilie au sein des groupes ainsi constitués.

DOI : https://doi.org/10.4000/communication.15107

Plausibility of scientific findings: institutional factors in lay evaluations

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Authors : Elizaveta P. Sheremet, Inna F. Deviatko

One of the recent “crises” experienced by science is associated with a decline in its public support. We conducted two factorial surveys among university students aiming at broadening our understanding of the information cues influencing the wider publics’ judgments of science.

We found that sociological and criminological research results are perceived as less plausible compared to neuroscientific and physiological research, but as more plausible than results from genetics.

In contrast with the previous data on the importance of funding and institutional prestige cues as the indirect indicators of the research quality among academic experts, we discovered the absence of any effects of funding or institutional prestige for the selected type of general audience.

URL : Plausibility of scientific findings: institutional factors in lay evaluations

DOI : https://doi.org/10.22323/2.21050201