Will COVID-19 mark the end of scientific publishing as we know it?

“Under the pressure of a global health crisis, the argument for open access has sunk in. Following calls from the World Health Organization and government leaders, over 150 publishers, companies, and research institutions have agreed to temporarily make all content related to COVID-19 free to read, ensuring efforts to understand the virus can go forth undeterred….

Is this the catalyst that breaks up the bonds of an old publishing model once and for all? …”

Data Sharing & Citation | Wiley

“At Wiley, we support the growing movement to make research more open, because this leads to a fairer, more efficient and accountable research landscape, which will ultimately drive a more effective and faster pace of discovery. We are committed to improving openness, transparency, and reproducibility of research. Fundamental to enabling reproducible research is the easy access to and ready discovery of its supporting data, made possible through a robust and universal framework that allows research data to be cited through standard reference lists. This will ensure that data is treated as a first-class research object, easily accessible as part of the scholarly literature, and that researchers are credited for their work.

Select an option below to learn more about Wiley’s data sharing and citation policies and service….”

Assessment of Preprint Policies of Top-Ranked Clinical Journals | Medical Journals and Publishing

Abstract:  Introduction

The clinical research community has adopted the use of preprint servers, which provide outlets for preliminary reports of research that has not been peer-reviewed.1 Preprint servers support open scholarship, allow research to be disseminated quickly, offer opportunities for peer feedback before formal submission to a journal, and have been increasingly adopted by the biological, physical, and economic scientific communities.2-4 However, for preprint potential to be realized in clinical research, peer-reviewed journals must be willing to consider manuscripts that were previously posted on preprint servers (preprints) for publication. Because systematic information about contemporary clinical journal policies on preprints is lacking,5 our objective was to assess the preprint publication policies of the 100 clinical journals with the highest impact factors.

 

Methods

This cross-sectional study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline. For this study, we used InCites Journal Citation Reports (JCR) to identify journals across all fields with a 2018 journal impact factor greater than 5. We manually screened all identified journals by title and categories on JCR to find the 100 top-ranked clinical journals and included only those that publish original research.

For each qualifying journal, we checked a succession of resources to ascertain its editorial policy on preprints: the journal website; the publisher website; the Transpose Database6; and the first 10 pages of a Google search containing the journal name and the term preprint. Once a preprint policy was located, we classified each journal’s policy by the following categories: preprints allowed (if preprints will be considered for publication), case-by-case determination (if preprints are evaluated on an individual basis), and preprints prohibited (if preprints will not be considered for publication). Data were collected on April 23, 2020. We conducted descriptive analyses using Microsoft Excel (Microsoft Corporation).

Results

Among the 100 top-ranked clinical journals, the median (interquartile range) impact factor was 13.7 (10.7-19.0). Most journals (86 [86%]) allowed preprints (Table 1). In contrast, 13 journals (13%) evaluated each preprint independently to determine whether to reject it on the basis of its prior preprint status (case-by-case determination). Only 1 journal (1%) had a policy that prohibited preprints (preprints prohibited). There was no association between the median impact factor and the category of preprint policy (Table 2).

Journal research data sharing policies

Abstract:  The practices for if and how scholarly journals instruct research data for published research to be shared is an area where a lot of changes have been happening as science policy moves towards facilitating open science, and subject-specific repositories and practices are established. This study provides an analysis of the research data sharing policies of highly-cited journals in the fields of neuroscience, physics, and operations research as of May 2019. For these 120 journals, 40 journals per subject category, a unified policy coding framework was developed to capture the most central elements of each policy, i.e. what, when, and where research data is instructed to be shared. The results affirm that considerable differences between research fields remain when it comes to policy existence, strength, and specificity. The findings revealed that one of the most important factors influencing the dimensions of what, where and when of research data policies was whether the journal’s scope included specific data types related to life sciences which have established methods of sharing through community-endorsed public repositories. The findings surface the future research potential of approaching policy analysis on the publisher-level as well as on the journal-level. The collected data and coding framework is provided as open data to facilitate future research and journal policy monitoring.

 

Data-sharing recommendations in biomedical journals and randomised controlled trials: an audit of journals following the ICMJE recommendations | BMJ Open

Abstract:  Objective To explore the implementation of the International Committee of Medical Journal Editors (ICMJE) data-sharing policy which came into force on 1 July 2018 by ICMJE-member journals and by ICMJE-affiliated journals declaring they follow the ICMJE recommendations.

Design A cross-sectional survey of data-sharing policies in 2018 on journal websites and in data-sharing statements in randomised controlled trials (RCTs).

Setting ICMJE website; PubMed/Medline.

Eligibility criteria ICMJE-member journals and 489 ICMJE-affiliated journals that published an RCT in 2018, had an accessible online website and were not considered as predatory journals according to Beall’s list. One hundred RCTs for member journals and 100 RCTs for affiliated journals with a data-sharing policy, submitted after 1 July 2018.

Main outcome measures The primary outcome for the policies was the existence of a data-sharing policy (explicit data-sharing policy, no data-sharing policy, policy merely referring to ICMJE recommendations) as reported on the journal website, especially in the instructions for authors. For RCTs, our primary outcome was the intention to share individual participant data set out in the data-sharing statement.

Results Eight (out of 14; 57%) member journals had an explicit data-sharing policy on their website (three were more stringent than the ICMJE requirements, one was less demanding and four were compliant), five (35%) additional journals stated that they followed the ICMJE requirements, and one (8%) had no policy online. In RCTs published in these journals, there were data-sharing statements in 98 out of 100, with expressed intention to share individual patient data reaching 77 out of 100 (77%; 95% CI 67% to 85%). One hundred and forty-five (out of 489) ICMJE-affiliated journals (30%; 26% to 34%) had an explicit data-sharing policy on their website (11 were more stringent than the ICMJE requirements, 85 were less demanding and 49 were compliant) and 276 (56%; 52% to 61%) merely referred to the ICMJE requirements. In RCTs published in affiliated journals with an explicit data-sharing policy, data-sharing statements were rare (25%), and expressed intentions to share data were found in 22% (15% to 32%).

Conclusion The implementation of ICMJE data-sharing requirements in online journal policies was suboptimal for ICMJE-member journals and poor for ICMJE-affiliated journals. The implementation of the policy was good in member journals and of concern for affiliated journals. We suggest the conduct of continuous audits of medical journal data-sharing policies in the future.

Publisher Data Availability Policies Index – CHORUS

“Over the last few years, publishers have been making their Data Availability Policies known either at the publisher level or at the journal level. These policies range in their mandate, but most require authors to make all data necessary to replicate their study’s findings publicly available without restriction at the time of publication. When specific legal or ethical restrictions prohibit public sharing of a data set, authors must indicate how others may obtain access to the data. Often, when submitting a manuscript to the publisher, authors must provide a Data Availability Statement describing compliance with the data availability policy. If the article is accepted for publication, the Data Availability Statement will be published as part of the article.CHORUS has created a centralized index of our member publishers’ policies with links to the publisher’s site. This chart will be updated at least annually….”