What do I need to do?
Pre award stage (proposal development)
- If required, write a funder-specific Data Management Plan (DMP) using one of the funder templates on DMPonline
- Complete the UCT outline DMP (or UCT student outline DMP) on DMPonline
The outline DMP should demonstrate initial thinking around your research data management practices. As with research proposals, there is an understanding that your data management practices may change over the course of your research.
Consider all relevant costs (article processing charges, data storage, digitisation of materials, etc.) in your application. It is good practice to know the requirements for deposit of data and metadata in your designated repository/repositories before you commence your research.
Award stage (during your project)
- Update your funder DMP
- If you are using the UCT DMP template, start working on your full DMP.
Allocate sufficient time for describing your data and deciding which data will need to be preserved for long-term and short-term access. Periodically cross-check your DMP with any faculty- or department-specific checklists that apply to you. Certain funders will require access to your DMP and research data as part of the conditions of the grant, to monitor your progress and compliance. Having a rigorous DMP in place will help you meet their requirements.
Post award stage (project end)
- Deposit (and if appropriate share) your data through mandatory funder repositories or through UCT.
- Ensure that the deposit of your published outputs and supporting data meets the requirements of your funder and/or UCT guidelines. For example, have you met the requirements for citation (i.e. obtaining DOIs or other types of persistent identifiers), and user access? Do the required repositories have a URL/handle for your published outputs?
The inclusion of a data statement is a requirement stipulated in a number of leading academic journal publishers such as PLOS One and Nature. Ensure that your statement style complies with the requirements of your funder and publisher.
Storing your data on an established data repository such as ZivaHub goes a long way to ensuring it is compliant with FAIR principles. Ensuring your data is richly described and accompanied by supporting documentation, is supplied in open formats where possible, and is published openly (where legally and ethically permissible) increases the FAIRness of the data.