Good research data management practices ensure that researchers and institutions are able to meet their obligations to funders, improve the efficiency of research, and ensure data is findable, accessible, interoperable, trusted, and reusable. Research data management is a joint responsibility between researchers and institutions. That is why it’s important to understand what institutions need to consider when formulating data management frameworks and strategies. (Australian Research Data Commons)
This video is part of MANTRA, the Research Data Management free online course created by the University of Edinburgh Data Library: http://mantra.edina.ac.uk.
Making data more discoverable:
Reusing data allows:
A Data Management Plan (DMP) explains "how you look after your data throughout your project. It covers planning, collecting, organising, managing, storage, security, backing up, preserving, and sharing your data and ensures that research data are managed according to legal, statutory, ethical and funding body requirements." (Whyte, A. & Tedds, J., 2011)
It is good practice to create a DMP for any research project. It can help researchers document every stage of research data lifecycle.
CDU Research Data Management Plan Template: This template is informed by the requirements for managing research data as set out in the Australian Code for the Responsible Conduct of Research, CDU Responsible Conduct of Research Policy, and Charles Darwin University Research Data Management Procedures.