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E-Science (SCIE90007)
Graduate courseworkPoints: 12.5Not available in 2017
You’re currently viewing the 2017 version of this subject
About this subject
Overview
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This subject focuses on approaches and tools for management and manipulation of scientific data. Topics may include: the nature of data; data lifecycle and management; data access; data analysis and manipulation; data visualisation, security, storage and curation. Students will learn how to manage research data, communicate research results to a wide audience, and oversee the efficient extraction and integration of information from diverse data sources, and how data might be preserved sustainably.
Intended learning outcomes
On completion of this subject students should be able to:
- Understand the scientific data lifecycle
- Understand and be able to apply principles for managing scientific data collections
- Access and contribute to distributed data collections
- Manipulate structured and unstructured data; and
- Appreciate the role of scientific data management in the creation, communication and preservation of scientific knowledge
Generic skills
On completion of this subject students should have developed the following generic skills:
- Understand the scientific data lifecycle
- Understand and be able to apply principles for managing scientific data collections
- Access and contribute to distributed data collections
- Manipulate structured and unstructured data; and
- Appreciate the role of scientific data management in the creation, communication and preservation of scientific knowledge
Last updated: 3 November 2022