Publish your data
At the conclusion of a research project, it is recommended that all data and accompanying documentation (e.g. data management plans) be published in a data and/or metadata repository, to ensure research data will be Findable, Accessible, Interoperable and Reusable.
QUT's Research Data Finder
QUT's Research Data Finder is QUT's discovery service for research data created or collected by QUT researchers. It contains:
- data - research datasets and data collections generated by research at QUT - including open and mediated datasets
- metadata - descriptions about research datasets and data collections generated by research at QUT - records are harvested by and visible in Research Data Australia, the national data discovery portal that provides connections between data, projects, researchers and institutions.
Publish your data
Some repositories are specifically designed for the publishing of datasets to accompany publications in journals which have data policies (e.g. see the PLOS data policy). These repositories make the data underlying scholarly publications discoverable, accessible, understandable, freely reusable, and citable for all, and include:
- figshare - a repository where users can make all of their research outputs available in a citable, shareable and discoverable manner
- Dryad - an international disciplinary repository of open data underlying scientific and medical publications
- Open Science Framework (OSF) Registry - an open access register of research datasets with research workflow. Part of the larger OSF scholarly commons to connect the entire research lifecycle
There are other types of data repository, suited to different purposes. Some examples follow.
- Discipline-specific: DataONE, Dataverse, GenBank, PANGAEA, Registry of Research Data Repositories, Scientific Data (Nature's data journal).
- Source code: Github, Git, Mercurial, BitBucket, SourceForge.
License your data
Research datasets should generally be made available via open access or controlled access with research partners, collaborators or requestors, for re-use by other researchers, unless a case based on specific and valid reasons is made for not doing so.
If you choose to make your data openly available, it is essential to license the data. This makes the terms and conditions of re-use clear. Prospective users need to know exactly what they can do with the data. These conditions and permissions should be explicit.
- A Creative Commons license allows you to specify the limits that apply to the reuse of your work. The four license elements - Attribution, Noncommercial, No Derivative Works, and Share Alike can be combined to create the required license.
- AusGOAL, or the Australian Governments Open Access and Licensing Framework, is another licensing framework you may wish to consider. Data owners select the set of conditions they wish to apply to their data.
"Publicly funded researchers will be expected, supported and rewarded to disseminate their work in such a way that anyone can find and re-use research publications and research data for further research, policy development, innovation, education and public benefit."
F.A.I.R. Access Policy Statement