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CIS2103 Digital Assets and Responsible Data Management

Semester 2, 2023 Toowoomba On-campus
Units : 1
School or Department : School of Business
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Course Coordinator:

Overview

This course is important because digital assets and data management are critical to the success of all businesses from NFPs to SMEs and enterprise level public and private organisations. Understanding the lifecycle of data, government and regulatory obligations, and security aspects of data governance is crucial. Decision-makers need access to the right data at the right times and in the right places but must also be aware of the cultural and ethical implication of collecting, disseminating, storing, and disposing of digital assets. In a world that revolves around data, issues surrounding the ownership and monetisation of digital assets are becoming prominent for individuals, communities, and organisations.

This course explores the regulatory, cultural, and ethical implications of collecting and managing digital assets and data. You will examine how digital assets are managed in organisations and the impact of unethical practices. You will discuss aspects of data ownership with a focus on FAIR Data Principles (Findable, Accessible, Interoperable, Reusable). Finally, you will reflect on a real-world example of unethical practice in digital asset management and work in a team to recommend responsible business practices that could be implemented.

Course learning outcomes

On completion of this course students should be able to:

  1. describe digital asset management, data management and data governance, including FAIR data principles;
  2. investigate opportunities and challenges in data ownership, monetisation of data, and transnational data sharing to reflect on responsible decision making in organisations;
  3. discuss the cultural sensitivities and ethical obligations associated with data management and storage;
  4. collaborate in groups to analyse the ethical and cultural impacts of digital asset and data management to solve a real world problem.

Topics

Description Weighting(%)
1. Digital assets, data management and governance 20.00
2. Data lifecycles and sustainable data storage such as data centres and data warehousing 20.00
3. Data ownership, monetisation of data, and transnational data sharing. 20.00
4. Cultural sensitivities and ethics in data management and storage 20.00
5. Emerging and disruptive digital asset and data management technologies 20.00

Text and materials required to be purchased or accessed

There are no texts or materials required for this course.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Reflection (personal/clinical) No 20 1
Assignments Written Case 精东传媒app No 40 2
Assignments Written Problem Solving No 40 3,4
Date printed 9 February 2024