Data access and usage

Ten to Men: The Australian Longitudinal Study on Male Health is funded by the Australian Commonwealth Government Department of Health and Aged Care to contribute to the public good through research into male health.

Ten to Men data are available to research projects that serve the public good, are scientifically and ethically sound, and contribute to the knowledge base on male health.

Data User Fact Sheet

This data user fact sheet is a reference tool for potential and current data users of the Ten to Men datasets. It is an overview of key information about Ten to Men data. It provides information about what variables have been collected, research domains, the latest findings and how to access the data.

Who can apply?

Researchers (including post-graduate students) affiliated with a university, recognised research institute or government department are eligible to apply to access and use Ten to Men data.

How to apply

Please review the attached data access policy documents and forms. To return the forms or request further information, email:

Data access documents and forms

Approved projects

From 2019 to July 2022, 61 research projects have been approved to access and use Ten to Men data. The documents below list these projects, including their purpose, lead investigator and responsible organisation. The range of research topics is indicative of the many uses of Ten to Men data.

Data Users Forum

The Ten to Men Data Users Forum will facilitate collaboration between current data users working on similar topics and projects, and encourage the sharing and comparing of analytical methods, discussion of issues and other tips and hints via a Microsoft Teams platform.

How to register?

Please review the Data Users forum policy document below. To register for the forum, please fill out the registration form below and email it to We will then add you to the forum.

Related information

Researchers / data users with access to Ten to Men data, see Data documentation for technical reports, manuals, data dictionaries etc.