Background
Research Data Management (RDM) describes the activities researchers carry out as they organize and maintain data throughout the research process. It can include (but is not limited to):
- Setting up plans and processes before starting data collection
- Keeping track of, documenting, and backing up data during the research project
- Archiving or publishing data after the project has completed
Starting with a plan can make life easier later on. Formal Data Management Plans (DMPs) are used when applying for research funding for a project that will involve collecting or using data. Even for unfunded research, however, sitting down before starting a project and thinking about each of the sections of a typical research data management plan can be a useful exercise.
A standard data management plan will cover:
- Data Collection
What are you collecting, how are you collecting it, what technologies will you be using? - Documentation and Metadata
How are you documenting your data? See the next page of this guide for help! - Storage and Backup
Where are you putting your data? Plan to have at least two backup copies, one stored on a different medium or at a different site. Keep your data safe. - Preservation, Sharing and Reuse
How will you preserve your data after the project is completed? Who might you share your data with? How will you do that? - Ethics and Legal Compliance
If you are collecting data on human subjects, the Office of Human Research Ethics will provide guidance.
The Digital Research Alliance of Canada offers supports for RDM, some of which were developed by the Portage Network, an initiative of the Canadian Association of Research Libraries. A browser tool named DMP Assistant assists researchers write data plans for grant proposals; it can also be a helpful guide for thinking through your project before you get to the data collection stage. You can also contact a data librarian to ask for a consultation.
The Western University DMP Template has been developed to help Western-affiliated researchers write data management plans and suggests Western-supported solutions to data management questions.