Publishing and sharing your research data increases research visibility and discoverability. Increasingly funders and publishers are requiring research data be made publicly available following the completion of research projects. For example, the Marsden Fund contract specifies (unless prohibited by ethics approvals) the establishment of “adequate and reasonable access to metadata, data and samples within twelve months of the Completion date of the Contract to (i) people carrying out research; and (ii) national and international repositories”.
Factors to consider when publishing and sharing data include:
Research data can be published in data journals or stored in data repositories and linked from journals. Open data are research output such as software and datasets licensed for re-use. The Open Data Handbook gives advice on legal, social and technical aspects of open data.
See the Open data subject guide for more detail on platforms to share data.
Discipline-based and general repositories are available to publish/share your data during your research (search the Registry of Research data Repositories) and preserve it on a long-term basis.
Data journals focus primarily on data, not analysis, but can include links to articles. They are often open access and offer fast peer review. Examples include:
Digital Object Identifiers (DOIs) are unique identifiers that provide persistent access to published articles, datasets, software versions and a range of other research inputs and outputs. If you store data in a repository it will be allocated a DOI to enable the data to be cited.
DataCite registers and allocates DOIs for datasets, images, software and other research material enabling the location, identification and citation of research data.
[Create a record in Victoria University of Wellington’s Elements research management system to describe your dataset and link your other research outputs to your dataset - detail needed]
Citing other evidence and source is good research practice and supports data reuse. The Force 11 Data Citation Principles and the Digital Curation Centre’s How to cite datasets and link to publications provide detail on citing data within scholarly literature, another dataset, or any other research object.