As research becomes more data intensive and collaborative, data management is now an important part of responsible scholarly communication. Good data management benefits your own project as well as the various discipline-specific communities you are a part of (lab, academic department, university, research field). As a result, many sponsoring agencies now require data management plans.
By managing your data you will:
Thus, we recommend that you create a strategy to organize, preserve, and share your data long after your research concludes.
“The key to the Alzheimer’s project was an agreement as ambitious as its goal: not just to raise money, not just to do research on a vast scale, but also to share all the data, making every single finding public immediately, available to anyone with a computer anywhere in the world" (New York Times, August 13, 2010).
Data management is not just important at the end of your research, but is important throughout the lifecycle of your research project. There are many groups and resources on and off campus that can help you write a data management plan and help manage your data throughout its lifecycle.
Here is one graphic depicting the research life cycle.
Contact us and we will help answer your questions and connect you with the most appropriate groups on campus.
You may want to start by Identifying Your Data Management Needs.