INF462 Data Curation (8)

Data, increasingly digital and "big", surrounds us in organisations and our personal lives. Curation and management  of data involves ensuring its usability and accessibility into the future requires new strategies, practices, tools and techniques and is a burgeoning area of employment. This subject explores data curation from the the point of data creation throught the data lifecycle of description, use, storage, accessibility and understandability over time, to future usability and use.

No offerings have been identified for this subject in 2020.

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

HD/FL

Duration

One session

School

School of Information Studies

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to demonsrate understanding of the need for data curation in public and private organisations;
  • be able to identify and critically assess theoretical and practical issues in data curation;
  • be able to describe data curation concepts, terms, tools and technologies;
  • be able to demonstrate understanding of the data curation lifecycle and identify the activities associated with each stage; and
  • be able to examine and critically analyse the challenges associated with data sharing for collaboration and re-use.

Syllabus

This subject will cover the following topics:
  • Introduction: Digital curation: scope and incentives
  • The changing data landscape
  • Conceptual models and defining data
  • Description and representation information
  • Preservation planning and policy
  • Sharing knowledge and collaborating
  • Curating data
  • - Designing data
  • - Creating data
  • - Deciding what data to keep
  • - Ingesting data
  • - Preserving data
  • - Storing data
  • - Using and reusing data

Indicative Assessment

The following table summarises the assessment tasks for the online offering of INF462 in Session 1 2019. 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
Title
Value %
1
Risk factors to digital objects in data curation
40
2
Essay: evaluating data curation methodologies
60

The information contained in the CSU Handbook was accurate at the date of publication: October 2020. The University reserves the right to vary the information at any time without notice.

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