Add your contributions to the 9th annual MedComms Day.
The Research Data Alliance has published standardised research data policies, but wider collaboration is needed to ensure they are supported and implemented.
Find out why guidance is needed and what’s covered in the new Synthesis Without Meta-analysis (SWiM) guidelines.
In a recent article in Knowable magazine, Betsy Mason describes the benefits and pitfalls of different graphics and the need for better training in data visualisation.
Call to action: help us to keep delivering freely-accessible, high quality news for medical publication professionals
The Publication Plan is now welcoming sponsorship, help us to keep delivering high quality, freely available new for medical publication professionals
Patient information specialist, Hannah Bridges, gives advice on how to adapt writing for lay audiences.
[VIDEO] Professional medical writing support and the quality, ethics and timeliness of clinical trial reporting: a systematic review
Obaro Evuarherhe, Principal Consultant at Oxford PharmaGenesis, discusses professional medical writing support and the quality, ethics and timeliness of clinical trial reporting.
Help and guidance for writing narrative reviews and Delphi consensus statements.
Does professional medical writing support impact the quality, ethics and timeliness of clinical trial reporting?
Findings of a systematic review show working with professional medical writers positively affects measures of quality, ethics and timeliness.
The MAP newsletter explores an issue faced by medical publication professionals.
Open source software is often used in science but is left uncited in many publications: researchers urge authors to make a change.
An article in the MAP newsletter examines how plain language summaries are key in making peer-reviewed biomedical research accessible to all.
Add your contributions to the 8th annual MedComms Day.
Share your expertise with the medical publishing community! The Publication Plan is now welcoming guest articles.
Statisticians and over 800 signatories challenge the concept of ‘statistical significance’, calling for an end to overstated claims and missed discoveries.
Are you familiar with the FAIR data principles? Find out how to boost your data’s usefulness by making your data FAIR: Findable, Accessible, Interoperable, and Reusable.