Research data management which results in trusted, reusable, interoperable, findable and accessible data is a joint responsibility between researchers and institutions.
Improving the management of Australian research data is a core ANDS priority.
This guide to Research Data Management in Practice (PDF, 0.74 MB), prepared by Mercury Project Solutions, outlines the roles and responsibilities of hosting institutions and individual researchers with respect to data management.
The information below sets out fundamental elements that institutions will need to consider in formulating their data management framework and strategies.
Institutional policy and procedures
IT infrastructure (hardware and software)
Support services (people & advice)
Upskilling of support roles
- Conducting data interviews
- Librarians, IT, and skills for ANDS Projects
- Maximising exposure of data in Research Data Australia
Ensuring data is long lived
Creation of metadata records
Bringing it all together
A one-stop-shop set of web pages for research support staff and researchers can help tie it all together and present a logical step by step process. By presenting the information in this way people can easily find what they need as well as be made aware of all the other steps they need to do.
How the components of research data management are organised will vary between institutions but they may include such things as: human contacts, activities/events, online tools and online information etc.