Useful links
Unit of study_
OLET2628: Research Data Management
2021 unit information
This unit will give you an insight into the exciting world of data. More and more we are bombarded with concepts like big data, open source data, and sensitive data. Data management is what links these concepts. Much of the development in data management has come from research in the physical, biological, and social sciences, research in languages, finance, law, and medicine, and many more. In all cases it is critical to ensure that data is safe and accessible. Importantly, lessons learnt from research are also applicable to managing our own data. Therefore, this unit introduces key concepts of data management delivered through 12 interactive online modules. The modules will initially define research data and explore the various flavours of research data. Then you will discover what can go wrong when you don't manage your data and explore ways which you can best store your data. You will look at using open source data, and how to best access and share data. And finally you will look at how to manage sensitive data and explore what big data is.
Unit details and rules
Managing faculty or University school:
Science
| Study level | Undergraduate |
|---|---|
| Academic unit | Life and Environmental Sciences Academic Operations |
| Credit points | 2 |
|
Prerequisites:
?
|
None |
|---|---|
|
Corequisites:
?
|
None |
| Prohibitions:
?
|
None |
| Assumed knowledge:
?
|
None |
At the completion of this unit, you should be able to:
- LO1. explain the importance of metadata and the concept of data provenance to produce traceable and reliable research data
- LO2. distinguish between open, closed and shared data, and identify associated access/usage conditions
- LO3. identify components of a ‘dirty’ dataset and recognise resources available to help prevent and manage dirty data
- LO4. recognise sensitive data and associated management protocols
- LO5. apply appropriate citation methods to ensure proper acknowledgement of research data authors and sources
- LO6. demonstrate understanding of ‘Big data’ and the potential management issues which may arise with large and complex data
- LO7. employ visualisation and reporting as a tool to convey complex topics to a wider audience.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
There are no availabilities for this year.
Find your current year census dates
Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
