Researchers call for better adoption of open science in COVID-19 research
Researchers identify flaws in current COVID-19 research and publication processes, and provide solutions using Open Science principles
A central online news resource for professionals involved in the development of medical publications and involved in publication planning and medical writing.
Researchers identify flaws in current COVID-19 research and publication processes, and provide solutions using Open Science principles
An extension and elaboration of the SPIRIT checklist specific to n-of-1 trials aims to improve the quality and reporting of protocols for this trial type.
The Research Data Alliance has published standardised research data policies, but wider collaboration is needed to ensure they are supported and implemented.
Find out more about the TOP Factor, an alternative metric to the impact factor, evaluating academic journals based on open science policies.
With widespread and growing support for increased data sharing, what can we learn from the Yale Open Data Access (YODA) Project and its collaboration with Johnson & Johnson?
The reproducibility crisis is linked to publication bias and a paucity of negative data. Find out how and why to get such data published.
An analysis of data sharing statements reveals that open data may lead to a citation advantage.
Transparency and reproducibility are now synonymous with medical publications, but actions speak louder than words. A recent study examines whether progress has been made.
An article in the MAP newsletter examines how publication professionals could help to increase preclinical publishing standards.
An analysis by Science Magazine of Retraction Watch’s new database challenges a number of common perceptions surrounding retractions and reveals some important key themes.
A recent article from Science explores how meta-analyses may be less authoritative than they seem.
The CONSORT extension for reporting non-pharmacological interventions was introduced in 2008. A recent study looks at the impact of this guidance on reporting standards.
Here’s how the power of machine learning could be harnessed to automate the search for fraudulent figure duplications in submitted manuscripts.
Are we too willing to accept big data as fact? Find out how scientific publishing can learn from common mistakes arising from bad data practice.
Integrity and transparency are paramount to the accuracy, accessibility and credibility of medical research. Given that clinical evidence informs market approval of medical products, missing or inaccurate clinical trial data … Continue Reading Three steps to transparency in clinical research: a new white paper from the Collaboration for Research Integrity and Transparency
Recently, F1000Research published the first article of their new Registered Report initiative. The publisher is the first to go a step further with this publication format, combining the Registered Report … Continue Reading Registered Reports: enhancing transparency and reproducibility in scientific publication