Research data management in practice

ANDS commissioned this "Research Data Management Practice Guide" as a practical starting point that focuses on the 'Why' and 'How' of good data management. A research data management plan is part of the research process and this guide aims to suggest the major roles and responsibilities of;

• the individual researcher,
• the hosting institution, and
• those of a joint nature.

This Guide is aimed at research administrators in the e-research space, providing them with an overview for the planning and operations of sharing research data. No single person or even business unit is responsible for all aspects of research data management so a collaborative approach is required. In all cases this will involve the researcher / data creator.

Key steps a research institution needs to consider in research data management, before, during and after a research project.

No single person or even business unit is responsible for all aspects of research data management so a collaborative approach is required. In all cases this will involve the researcher / data creator.

Key concepts Why manage research data Steps in research data management Research data curation Pre research Research data management framework Risk management plan Research data management plan Ethical clearance Training and induction During research Policy compliance monitoring Risk monitoring and communication Research data collection and analysis Metadata generation Storage and access Post research Publish research data Register research data Ongoing curation usage monitoring