Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| The Data Management Lifecycle | |||
| Reference | CB3956 | 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 role of lifecycle management in the capture, realisation and safeguarding of information value and the interaction of users in this lifecycle. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Describe the scope, defining features and stages of the data management lifecycle and the activities and challenges at each stage. |
| 2 | Apply the processes, systems and procedures for receiving, cataloguing, loading and storing data, including quality control, while accommodating a degree of unpredictability |
| 3 | Evaluate data management from an end user perspective. |
| 4 | Identify and analyse the systems and standards for ensuring data quality prior to its use and explain the consequences if these are not in place. |
| Indicative Module Content |
|---|
| Data receipt; Cataloguing and indexing; Loading and storing data; Distribution of data; User-generated content and data use; Data maintenance; Promoting and facilitating access to data; Effective search and retrieval; Data archiving; Data retention and disposition. |
| 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 |
| 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: CB3966 The Data Management Lifecycle. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | CLEVERLEY, P. and BURNETT, S., 2019. Enterprise search: a state of the art. Business Information Review. 36, (2), pp.60-69. |
| 2 | THE DATA MANAGEMENT ASSOCIATION, 2017. DAMA-DMBOK: Data Management Body of Knowledge. 2nd ed. Basking Ridge, NJ; Technics Publications. |
| 3 | JOHNSON, V., 2017. Leveraging technical library expertise for big data management. Journal of the Australian Library and Information Association. 66 (3), pp.1-16. |
| 4 | MUIR, L., COUSINS, F. and LAING, A., 2014. The case for a risk-assessed approach to organizational records management in the oil and gas sector. Information Research. 19, (4). |