Enhancing the QUAlity and Transparency Of health Research

Forthcoming events, training and free online courses

Training courses

 

Lab Research Publication School (ONLINE)

Date: 23-26 September 2024

Responsible Research in Practice, in collaboration with the UK EQUATOR Centre, is running a Lab Research Publication School to help you write research articles that are fit for purpose.

You can find further information and the registration form on the Lab Research Publication School web page or read an overview of the Online Lab Research Publication School (PDF).

 

Events

 

The 10th International Congress on Peer Review and Scientific Publication

Date: 3-5 September 2025
Location: Chicago, IL, USA
Website:
https://peerreviewcongress.org/
C
ontact: jama-peer@jamanetwork.org

 

Free online training courses

 

Writing and reporting

Pan American Health Organisation (PAHO) and the UK EQUATOR Centre course “Enhance the Visibility and Value of Your Health Research with Reporting Guidelines” introduces health researchers and policymakers to reporting guidelines. The course is available online for free through PAHO’s Virtual Campus in English, Portuguese, and Spanish.

The AuthorAID research writing courses are designed to support researchers from developing countries publish their work.

Research conduct and peer review

The Cochrane Eyes and Vision Group have developed an online course Translating Critical Appraisal of a Manuscript into Meaningful Peer Review. It uses mainly eyes and vision examples but would be useful to any researchers and editors from all specialties who peer-review the biomedical literature.

The Global Health Network e-Learning Centre modules are designed to cover every step, process, and issue that needs to be understood in order to conduct high-quality research, particularly in low-resource settings.

The Canadian Institute of Gender and Health has produced three online modules to improve the ability of health researchers and peer reviewers to account for sex and gender in the analysis of data from human participants.


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