Opening hours for our libraries and Library Chat have been adjusted over the summer break. Please check our library opening hours page before you visit.
For enquiries relating to open research, please email your discipline's liaison librarians or arrange a time to consult a librarian.
Alternatively, you can contact the library via our Library Enquiries form.
The University has a data repository where you can publish your data: Melbourne Figshare is an institutional data repository which enables staff and graduate research students at the University to store, manage, publish and share digital materials. The repository is a platform that enables data, other supplementary research materials and non-traditional outputs (NTROs) to be easily cited and discovered. Materials uploaded to Melbourne Figshare are kept locally on University managed storage infrastructure. You can access Melbourne Figshare using your University credentials.
Materials published in Melbourne Figshare can be shared at the appropriate level of openness:
You can visit the Melbourne Figshare website or contact the Digital Stewardship (Research) team for support with publishing your data and using Melbourne Figshare.
It may be most strategic for you to publish your data in an external discipline-specific data repository, where it will be found by other researchers in your field. You may already be aware of prominent data repositories in your area of study. Your colleagues or your supervisor might also be able to point you towards suitable repositories. Another method of finding suitable discipline-specific repositories is by consulting a registry of data repositories such as re3data.org or the FAIRsharing catalogue of databases.
There are also several general repositories where you can create an account for free and deposit research data from any discipline. These include
You may also want to promote your data by publishing a data paper in a data journal. Data papers provide an opportunity for you to describe your dataset in detail and have your work peer-reviewed. Here are some methods of finding data journals:
Data can be cited, just like any other research output. The citation format recommended by DataCite is:
Creator (PublicationYear). Title. Version. Publisher. ResourceType. Identifier
Version and ResourceType are optional properties. The Australian Research Data Commons (ARDC) provide an example of a data citation using this format.
The Identifier property is most commonly a Digital Object Identifier (DOI). You will receive a DOI for your data, so that it can be cited, when you deposit it with most data repositories, including Melbourne Figshare.
Melbourne Figshare citation example:
Hipsley, Christy; D. O'Hara, Timothy (2018). CT data and colour-rendered 3D images for Patiriella littoralis holotype (TMAG H468) and Patiriella regularis (MV F87407). University of Melbourne. Dataset. https://doi.org/10.26188/5b7a226c4f1b2