This guide is intended to support researchers who want to effectively manage their data. It is equally important for researchers to understand newer requirements from grant funding agencies for managing research data and the research data life-cycle.
A variety of offices across campus can provide assistance in data management. For assistance in writing a data management plan or with data curation, please contact your subject specialist. Or contact firstname.lastname@example.org.
Why Create a Data Management Plan?
Why do you need a data management plan?
- Many funding agencies require data management plans to ensure future access to grant supported research data.
- Ensure that your data will be accessible and usable in the future.
- Create and maintain a permanent archive of the data that supports your research findings.
- Provide enhanced access to your publications.
What is in a data management plan?
- Description of types of data, samples, and physical collections you will be creating.
- Standards you will use for your data and the metadata that will describe it.
- Policies for sharing, accessing, and re-using your data.
- Methods for archiving and preserving your data.
A data management plan (DMP) is a maximum of two pages long. If you do not write a DMP, you must instead submit a statement explaining why one is not needed.
Lifecycle of Digital Research Data
While there are many ways of looking at the data life cycle, this particular image emphasizes the repurposing and re-use of data, which is a driving force behind the success of data intensive science and the reason why data management has been deemed so important.
Source: Humphrey, Charles. (2006). “e-Science and the life cycle of research.” Retrieved 23 January 2011 from http://datalib.library.ualberta.ca/~humphrey/lifecycle-science060308.doc