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Call for content!

Real-world data hold great potential for new scientific discoveries, problem-solving and decision-making. To unlock the full potential, new, effective, and practically feasible statistical and machine learning methods are needed. 

Our new collection, guest edited by Prof. Panagiotakos and Prof. Liu, welcomes content highlighting opportunities and challenges around methods and applications for real-world data, as well as big data challenges in medical research.

Aims and scope

BMC Medical Research Methodology is an open access journal publishing original peer-reviewed research articles in methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.

Peer Review Taxonomy

This journal is participating in a pilot of NISO/STM's Working Group on Peer Review Taxonomy, to identify and standardize definitions and terminology in peer review practices in order to make the peer review process for articles and journals more transparent. Further information on the pilot is available here.

The following summary describes the peer review process for this journal:

  • Identity transparency: Single anonymized
  • Reviewer interacts with: Editor
  • Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

We welcome your feedback on this Peer Review Taxonomy Pilot. Please can you take the time to complete this short survey.

Methodologies for COVID-19 research and data analysis

Our collection on methodological approaches to medical research and data analysis related to COVID-19 is no longer accepting new submissions. You can continue to browse our published content, and remember all of our articles are open access and free to read! 


Assistant Editor

  • Kate Gaines, BMC Series, USA

Trending Articles

Click here to view which Articles have been shared the most this year!


  1. Authors: Sarah Crowe, Kathrin Cresswell, Ann Robertson, Guro Huby, Anthony Avery and Aziz Sheikh

    Content type: Commentary

Featured article: Machine learning in medicine: a practical introduction to natural language processing

In this paper, Harrison and Sidey-Gibbons provide a practical introduction to contemporary techniques for the analysis of text-data, using freely-available software.

Featured article: Managing overlap of primary study results across systematic reviews: practical considerations for authors of overviews of reviews

Using a primary study result multiple times in the same analysis overstates its sample size and number of events, falsely leading to greater precision in the analysis. Lunny et al describe different types of overlapping data, present methods to identify these and illustrate approaches to manage the overlap.

Featured article: Open science saves lives: lessons from the COVID-19 pandemic

In this Commentary, Besançon et al express concerns about the violation of some of the Open Science principles and its potential impact on the quality of research output during the COVID-19 pandemic. The authors call for a wider adoption of Open Science practices and hope this article serves as a reminder that science should always be a rigorous process, reliable and transparent.

Check out the BMC Medical Research Methodology blogs!

Read the stories behind the research. Recent content includes:

Find the full list here

Get credit for your data!

New Content Item © © ra2studio

Valuable data often go unpublished when they could be helping to progress science. Hence, the BMC Series introduced Data notes, a short article type allowing you to describe your data and publish them to make your data easier to find, cite and share.

You can publish your data in BMC Genomic Data (genomic, transcriptomic and high-throughput genotype data) or in BMC Research Notes (data from across all natural and clinical sciences). 

More information about our unique article type can be found on the BMC Genomic Data and BMC Research Notes journal websites. 

BMC Series Focus Issues

January: Antimicrobial resistance

Microbial resistance has become a major threat to human health in the 21st century. In order to provide the public with a general understanding of the situation of drug-resistant pathogens, and to alert and prevent this threat, the BMC Series Journals dedicate their first focus issue in 2022 to research on antimicrobial resistance.

December: HIV

For World AIDS day, the BMC Series Journals dedicate this month's focus issue to research on HIV and AIDS highlighting recent advancements in understanding the biology of the disease, the continued breakthroughs in diagnosis and treatment and also shed some light on what life with HIV is like. 

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