Research Data Management: Getting started

Research data management refers to the process of organising, documenting and curating data at all stages of the research lifecycle.

All UNE researchers have responsibilities when it comes to managing research data. A well managed data set is a valuable research output that others can use to further their understanding of your work.

Please visit SOL:AR Module 5: Data Management for an overview of research data management best practice at UNE. 

Managing and sharing your research data increases the impact of your research by:

• Driving up citation counts by allowing others to cite your data in their own work
• Giving you the credit you deserve for producing high-quality data sets
• Allowing for the long-term preservation of data, so yourself and others can access and re-use it in future

The template and checklist are available to guide you with the development of a data management plan to effectively manage your research data, at all stages of the research life cycle. 

Both documents are based on current best practice principles identified in plans adopted by other Australian universities, the Australian Code for the Responsible Conduct of Research and the UK Digital Curation Centre.

Data Fundamentals are tailored learning modules covering workflow process involved in data management.

MANTRA is a set of quality online resources aimed at helping researchers manage their research data

Find, access and re-use Australian research datasets across a range of disciplines

Dixson Library offers regular workshops on a range of research data management topics.  You can see what workshops are available and book your place in an upcoming workshops via the Library Webinars page.