Publish Your Dataset on the Sage Research Methods Digital Platform
Guest post by Elsie Elder, Associate Editor, Sage Research Methods
The editorial team for Sage Research Methods, Sage’s award-winning digital platform, invites proposals for its Datasets format. The successful submissions will be featured in the upcoming Inclusive Research Methodologies collection, launching in 2026.
What’s Involved
We invite contributors to submit:
A sample research dataset which can be published on the Sage Research Methods website
A step-by-step teaching guide (up to 5,000 words) that helps students learn and practise data analysis or management techniques
Please find examples of previously published Datasets here:
For the Inclusive Research Methodologies resource, our Datasets will focus on inclusive approaches to working with data, such as:
Managing and preparing sensitive data
Co-analysis with participants
Creative or adaptive methods for working with underrepresented groups
Examples might include:
A quantitative dataset and guide on disaggregated statistical analysis
A qualitative dataset and guide on intersectional thematic analysis
Publishing with SRM
SRM is a peer-reviewed, award-winning digital platform used by universities worldwide
This resource will be subscribed to university libraries worldwide; it will have a global reach
Datasets are short, practical teaching articles using real data excerpts to demonstrate techniques
Contributions are original works, even when using existing or previously published data
No publication fee; upon acceptance at peer review, contributors receive honorariums of circa £200
Includes two years’ access to the new resource
Co-authorship is welcome
Submission dates are available through until Autumn 2025
How to contribute
Please email Elsie Elder (elsie.elder@sagepub.co.uk) to indicate your interest. Include “IRM Dataset Proposal” in the subject line, and the following information:
Preliminary Title
Sample Dataset Description (this should include confirmation of its availability to publish)
Analysis/Technique/Process
Software (if applicable)
Preferred Submission Date