BUS311 Data Curation

Unit outline

Important Update: Our aim is to provide you with an optimal learning experience, regardless of how this unit is delivered. Teaching will be delivered in line with the most current COVID Safe health guidelines.  This may include a mix of online and face-to-face.  Please check the learning management system for announcements and updates. Thank you for your flexibility and commitment to studying with Sydney Institute of Higher Education. 
Enrolment modes: Year 3, Semester 2
Credit point(s): 12.5
EFTSL value: 0.125
Prerequisite: BUS107 Database I
Typical study commitment: Students will on average spend 10 hours per week over the teaching period undertaking the teaching, learning and assessment activities for this unit.
Scheduled learning activities: 4 timetabled hours per week, 6 personal study hours per week

Unit description 

This unit develops students’ understanding of data curation. Students will examine the processes and activities related to an organisation’s management of data from its creation to its storage, archiving or deletion. Students will also gain an understanding of the main issues related to data curation in modern organisations and address likely challenges and assess possible solutions.

Unit Outline Outcomes (ULO)

  On the successful completion of this units student will be able to:  
ULO1 Describe data curation concepts, terminologies, tools and technologies.  
ULO2 Describe the data curation lifecycle and apply the activities associated with each lifecycle stage.  
ULO3 Analyse the challenges associated with data sharing for collaboration and reuse purposes.  
ULO4 Investigate the usefulness of data curation for big data.  
ULO5 Argue and critically assess theoretical and practical issues in data curation.  
ULO6 Develop a basic conceptual model to represent cloud computing infrastructure that supports data curation.  

Topics to be included  

1. Digital curation workforce: Current and future demands 
2. Preparing and sustaining a digital curation workforce
3. Conceptual models
4. Roles of data
5. Preservation planning and policy
6. Curation and curators tools and methods
7. Description and representation of information
8. Preservation planning and policy
9. Designing and creating data
10. Storing and backing up data
11. Releasing and sharing data
12. Data curation challenges


Assessment Description Grading and weighting
(% total mark for unit)
Indicative due week 
Assessment 1: Mid-Semester Exam  30% Mid-semester exam week 
Assessment 2: Group Assignment 30% 10
Assessment 3: Final Exam 40% Final exam week

The assessment due weeks provided may change. Your lecturer will clarify the exact assessment requirements, including the due date, at the start of the teaching period.