Module Code: H8DGSE
Long Title Data Governance, Security and Ethics
Title Data Governance, Security and Ethics
Module Level: LEVEL 8
EQF Level: 6
EHEA Level: First Cycle
Credits: 10
Module Coordinator:  
Module Author: MICHAEL BRADFORD
Departments: School of Computing
Specifications of the qualifications and experience required of staff

Masters' Degree or PhD in a computing or cognate discipline. May have industry experience also.
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Rationalise and discuss the regulatory environment as a variable in the commercial environment. Data protection and GDPR as key constraints in the business environment to be reflected in the internal environment of the organisation.
LO2 Be able to critically appraise the data governance in an organisation and build an effective data governance structure tailored to an organisation’s needs.
LO3 Contextualise Data Governance within the Corporate Governance and Corporate Strategy and appreciate the boundary spanning elements and need to build a broad based data governance team.
LO4 Critically evaluate how to place security and data protection issues within the risk management strategy of the organisation.
LO5 Analyse ethical constructs and their dynamic evolution within a ICT data environment.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements

Learners should have attained the knowledge, skills and competence gained from stage 3 of the BSc (Hons) in Data Science
 

Module Content & Assessment

Indicative Content
Introduction
Consideration of the regulatory environment of Data Governance
Corporate Organisational Environment
Corporate Governance, Strategic Management and Data Governance
Role of the CDO
Role in relation to other data users, establishment of a data governance structure with shared ownership
CDO Agenda
Data as an asset and data as a liability and data compliance
CDO in at “C level”
Data Governance and the objectives of the organisation. Facilitating best outcomes
GDPR
Data Regulation and its importance to the organisation and the role of CDO
GDPR
Data Processing and Privacy
IP Law
Each of the categories of Intellectual Property will be considered
Security
Building security into a data governance structure
Security
Cybersecurity
Ethics
Ethical concepts and their application to data organisations
Ethics
Ethical Decision Making
Assessment Breakdown%
Coursework40.00%
End of Module Assessment60.00%

Assessments

Full Time

Coursework
Assessment Type: Formative Assessment % of total: Non-Marked
Assessment Date: n/a Outcome addressed: 1,2,3,4,5
Non-Marked: Yes
Assessment Description:
Ongoing independent and group problem solving activities and feedback.
Assessment Type: Continuous Assessment % of total: 40
Assessment Date: n/a Outcome addressed: 1,2,3,4,5
Non-Marked: No
Assessment Description:
Student will complete an assignment to related to data governance Life Cycle analysis
End of Module Assessment
Assessment Type: Terminal Exam % of total: 60
Assessment Date: End-of-Semester Outcome addressed: 1,2,3,4,5
Non-Marked: No
Assessment Description:
Terminal assessment exam to address the students' comprehension of the underlying theories and concepts
No Workplace Assessment
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
Reassessment Description
The repeat strategy for this module is an examination. All learning outcomes will be assessed in the repeat exam.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Classroom & Demonstrations (hours) 24 Per Semester 2.00
Tutorial Other hours (Practical/Tutorial) 24 Per Semester 2.00
Independent Learning Independent learning (hours) 202 Per Semester 16.83
Total Weekly Contact Hours 4.00
 

Module Resources

Recommended Book Resources
  • Seiner , R.. (2014), Non Invasive Data Governance, Technics Publications.
Supplementary Book Resources
  • Smallwood, R. F.. (2015), Information Governance: Concepts, Strategies and Best Practices, Wiley.
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: