INFS2050 -
Data Governance and Technology Assurance
General Details
Unit Coordinator: Maryam Shahbazi
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INFS2050 explores the purpose, benefits and ever-increasing importance that data governance has on a dynamic business environment.
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This course is split into three modules:
Aspects of Data Governance
Developing the business case for data governance: The Problem Situation
Developing the business use case for data governance: Values, Goals and Functions.
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Students can expect to learn about the evolution of big data, data ethics and business structures relating to data governance. A range real-world case studies relating to data leaks, security and potential future governance issues will be explored through the lens of business models in order to gain a deeper insight into how governance can be improved over time.
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Assumed Knowledge: INFS1000 or INFO1000 or INFO1003 or INFO1903
Learning Outcomes:
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Describe key concepts and principles of data governance and explain their importance in business information systems
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Demonstrate knowledge of the relationship of data governance with security, privacy, ethics and regulatory functions
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Identify key stakeholders involved in governing data in different and changing institutional contexts and technology platforms
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Demonstrate knowledge of key data governance standards and frameworks and practise their application through class activities and assigned tasks
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Conduct research to develop and support arguments about key issues, challenges and trends associated with data governance in business
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Communicate in oral and written form your knowledge, thoughts and findings through class discussions, group work and individual assignments
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Provide constructive feedback to your peers on their written work, and address issues identified by your instructor and peers when reflecting and revising your own written work.
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Things to Consider Before Enrolling:
With a moderate amount of theoretical content, INFS2050 is a relatively straight-forward class to study. Weekly learning materials include short PowerPoint presentations, supported by various readings and other educational materials. Students are expected to be able to recall, research and apply information in a variety of macro and micro business contexts that relate to data governance issues.
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This subject focusses on business models that are relatively untouched by other INFS units. Attention should be directed towards differentiating components of different models as well as knowing when and where to apply them. The group assignment and individual assignment are both research-based. Students will benefit from being able to analyse scenarios, synthesise different perspective of data governance and form a well-rounded judgement. In the group assignment, these perspectives are ideally synthesised by a cohesive, overall topic area.
Assesment Breakdown
Online Task (15%)
It will ask you to participate in posting and responding to others' posts on discussion board through first six weeks.
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Individual Assignment (Part A) (25%)
This is a research report where students are required delve into the current business context and extrapolate on the effects that current events may have on the future developments and attitudes towards data governance.
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Group Project (30%)
This involves a presentation and the creation of a poster focussing on data governance in a contemporary business case study. Students are supplied with materials which form the context of the task and henceforth, are required to identify and make judgements about potential data governance implications.
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Individual Assignment (Part B) (30%)
This task consists of two case studies and requires students to synthesise knowledge learnt throughout the semester, ultimately applying it towards relevant data governance frameworks. In Semester 2 2020, the assignment was completed in the span of one week. Students had access to all learning materials and other information sources were permissible.