Research Data Management

Research Data Management is a term for all the thing that researchers do to structure, organize and maintain data before, during and after doing research. RDM is also an emerging discipline that is concerned with researching and developing ways to manage research data more effectively. But what is research data? Where is the push towards formal RDM coming from? What are the requirements of good data management? Research Data Management in the Canadian Context looks at these questions and more, all with a focus on Canadian guidelines, regulations and infrastructure.

Kristin Briney's The Research Data Management Workbook is made up of a collection of exercises for researchers to improve their data management. The Workbook contains exercises across the data lifecycle, though the range of activities is not comprehensive. Instead, exercises focus on discrete practices within data management that are structured and can be reproduced by any researcher.

Provides access to DMP Tool, DMP templates and exemplars, deposit guides, and other resources.

A somewhat more detailed guide that takes you beyond "good enough" RDM to the development of a comprehensive plan.

(University of Edinburgh) - an online, self-paced tutorial aimed at PhD students and early career researchers. A good introduction to issues and practices in research data management, with real life stories and scenarios.