INF461 An Introduction to Data Management: Governance, Standards & Ethics (8)

Data has always been an organisational asset, however, with organisations and individuals now producing vast amounts of real-time heterogeneous data (ie Big Data), there is greater demand than ever to manage and use data effectively. In this subject, students will develop an understanding of the issues involved in data management, including planning, infrastructure, and governance, driving the control of data and its lifecycle. Students are also challenged to consider the range of issues related to handling data, including privacy, security, data preservation, ethics, data storage and data distribution.

Subject Outlines
Current CSU students can view Subject Outlines for recent sessions. Please note that Subject Outlines and assessment tasks are updated each session.


Session 1 (30)
Wagga Wagga Campus

Continuing students should consult the SAL for current offering details: INF461. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System



One session


School of Information Studies

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to define data and identify the role of data in organisational, cultural, technological, legal, business and other contexts;
  • be able to demonstrate understanding of both theoretical and practical issues in data management;
  • be able to describe data concepts, terms, tools and technologies;
  • be able to demonstrate understanding of the variety of data types generated and used;
  • be able to critically analyse the challenges associated with data management and data sharing for collaboration and re-use;
  • be able to discuss governance, standards and ethics for data (business, scientific, governmental, and scholarly);
  • be able to investigate data management research and technological trends.


This subject will cover the following topics:
  • The data environment 1: Data organisations
  • The data environment 2: Types of data, data lifecycle models
  • The data environment 3: databases, repositories, architectures
  • Roles in data: data scientist, data manager, data curator, information architect
  • Data and information governance
  • Data standards
  • The legal and regulatory environment
  • Data ethics
  • Collecting, using, publishing, licensing, and citing data
  • Current trends and professional practices in data management


Current Students

For any enquiries about subject selection or course structure please contact Student Central or or phone on 1800 275 278.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 275 278 (free call within Australia) or enquire online.

The information contained in the 2018 CSU Handbook was accurate at the date of publication: August 2018. The University reserves the right to vary the information at any time without notice.