Learning Outcomes:

• Describe key concepts and principles of data governance and explain their importance in business information systems

• Demonstrate knowledge of the relationship of data governance with security, privacy, ethics and regulatory functions

• Identify key stakeholders involved in governing data in different and changing institutional contexts and technology platforms

• Demonstrate knowledge of key data governance standards and frameworks and practise their application through class activities and assigned tasks

• Conduct research to develop and support arguments about key issues, challenges and trends associated with data governance in business

• Communicate in oral and written form your knowledge, thoughts and findings through class discussions, group work and individual assignments

• 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.