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. |
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| 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
| 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.