
Are your AI-generated data reproducible?
AI-based science comes under scrutiny: read about the growing crisis in machine learning.
A central online news resource for professionals involved in the development of medical publications and involved in publication planning and medical writing.
AI-based science comes under scrutiny: read about the growing crisis in machine learning.
Find out why, despite implementation of mandates, current research data may not be FAIR.
Read about EQUATOR Network’s updated GoodReports website, new downloadable and editable article templates and a call for researchers to help test whether the templates improve research reporting.
We’ve heard of open data, but should we also consider open methods as standard?
Read Ivan Oransky’s take on the retraction landscape and his perspectives on how to tackle research integrity issues in the future.
Find out more about what was covered during the first 2021 webinar from the Center for Biomedical Research Transparency.
Sandra Petty discusses the Null Hypothesis Initiative and looks to the future of reporting negative data.
Professor Marcus Munafò discusses the importance of reproducibility in scientific research and how we can overcome barriers to achieving it.
Missed the meeting? Read our report on the symposium entitled “Research integrity & the medical communicator: what we do when no one is watching.”
Missed the meeting? Read our report on the symposium entitled “Research integrity & the medical communicator: what we do when no one is watching.”
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.
The reproducibility crisis is linked to publication bias and a paucity of negative data. Find out how and why to get such data published.