INF461 An Introduction to Data Management: Governance, Standards and 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.


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

Indicative Assessment

The following table summarises the assessment tasks for the online offering of INF461 in Session 1 2020. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).

Item Number
Value %
Understanding data quiz
Identifying data management needs: slides &report
Data management challenges (essay)

The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.