Abstract

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, … For more content click the Read More button below.

Syllabus

The data environment 1: Data organisationsThe data environment 2: Types of data, data lifecycle modelsThe data environment 3: databases, repositories, architecturesRoles in data: data scientist, data manager, data curator, information architectData and information governanceData standardsThe legal and regulatory environmentData ethicsCollecting, using, publishing, licensing, and citing dataCurrent trends and professional practices … For more content click the Read More button below.

Assessment items

1. Understanding data quiz
2. Identifying data management needs report
3. Data management challenges (essay)

Learning outcomes

Upon successful completion of this subject, students should:
1.
be able to define data and identify the role of data in organisational, cultural, technological, legal, business and other contexts;
2.
be able to demonstrate understanding of both theoretical and practical issues in data management;
3.
be able to describe data concepts, terms, tools and technologies;
4.
be able to demonstrate understanding of the variety of data types generated and used;
5.
be able to critically analyse the challenges associated with data management and data sharing for collaboration and re-use;
6.
be able to discuss governance, standards and ethics for data (business, scientific, governmental, and scholarly);
7.
be able to investigate data management research and technological trends.