Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Data Quality And Governance | |||
| Reference | CB3948 | Version | 1 |
| Created | September 2022 | SCQF Level | SCQF 9 |
| Approved | June 2016 | SCQF Points | 15 |
| Amended | August 2017 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| The aim of this module is to enable students to develop knowledge and understanding of the application and value of data quality and governance standards, policies and strategies. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Critically analyse the organisational roles, business rules, standards, policies and strategies for data quality, integrity, governance and security and the value of these for the business. |
| 2 | Evaluate the systems and procedures for recording, checking and assuring the integrity and quality of different data types to minimise risks and resolve problems. |
| 3 | Evaluate and convey the policies, systems and behaviour required to protect data. |
| 4 | Describe data quality tools, the systems that store data types and the interconnection between systems (data architecture) which enable business processes and workflows to function efficiently. |
| 5 | Critically analyse the challenges of implementing a data governance framework within the business and effective measures to maintain the success of the framework. |
| Indicative Module Content |
|---|
| Data quality management standards; Business rules for data quality; Data quality management methods and tools; Managing confidentiality and data rights; Data integrity and access control; Data governance policies and strategies, Standards and data governance, Data governance roles; Data procedures in data governance. |
| Module Delivery |
|---|
| Online learning. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | N/A | 24 |
| Non-Contact Hours | N/A | 126 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | N/A | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Coursework | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3, 4, 5 |
| Description: | Individual Portfolio Assessment | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| The calculation of the overall grade for this module is based on 100% weighting of C1. An overall minimum grade D is required to pass the module. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | The student needs to achieve an A in C1. |
| B | The student needs to achieve a B in C1. |
| C | The student needs to achieve a C in C1. |
| D | The student needs to achieve a D in C1. |
| E | The student needs to achieve an E in C1. |
| F | The student needs to achieve an F in C1. |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| ADDITIONAL NOTES |
|---|
| Previous versions of this module are under a different module number: CB3968 Data Quality and Governance. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | FLECKENSTEIN, M. and FELLOWS, L. 2018. Modern data strategy. Cham: Springer. |
| 2 | LADLEY, J., 2020. Data governance how to design, deploy and sustain an effective data governance program. 2nd Ed. London: Academic Press. |
| 3 | MCGILVRAY, D., 2021. Executing data quality improvement projects. 2nd Ed. London: Academic Press. |