Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Digital Data Management | |||
| Reference | CBM837 | Version | 2 |
| Created | January 2020 | SCQF Level | SCQF 11 |
| Approved | June 2017 | SCQF Points | 15 |
| Amended | June 2020 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| The aim of this module is to enable students to develop knowledge and skills in data management services in an organisational context. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Present a critical understanding of the nature, purpose and function of organisational data, analyse the activities, resources and challenges of effective use and re-use of data |
| 2 | Critically analyse the organisational roles, standards, policies and strategies for data management and the value of these for the organisation. |
| 3 | Evaluate user needs in data service delivery in the context of a range of workflows to ensure long term data preservation. |
| 4 | Evaluate technological approaches and systems to enable business processes and workflows to function efficiently |
| 5 | Develop skills to analyse and synthesize data and design appropriate visualisations. |
| Indicative Module Content |
|---|
| The value of data management to organisations, digital preservation, data systems and services, data continuity and longevity, user needs appraisal and engagement, data quality management, managing data projects and risks, data synthesis and visualisation, meta-data management, data management roles and professional development |
| Module Delivery |
|---|
| The module is delivered through a range of online learning formats and tutorials. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 24 | N/A |
| Non-Contact Hours | 126 | N/A |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | N/A |
| 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: | Assessment of this module consists of one written coursework which will cover all the learning outcomes of the module. | ||||
| 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. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | BATINI, C,. and SCANNAPIECO, M., 2016. Data-centric systems and applications. Switzerland: Springer International Publishing. |
| 2 | CHAKI, S., 2015. Enterprise information management in practice: managing data and leveraging profits in today's complex business environment. Berkeley, CA: Apress |
| 3 | DAMA INTERNATIONAL, 2010. The DAMA guide to the data management body of knowledge. Bradley Beach, NJ: Technics Publications. |
| 4 | LADLEY, J., 2012. Data governance: how to design, deploy, and sustain an effective data governance program. Waltham, MA: Morgan Kauffmann. |
| 5 | PLOTKIN, D., 2014. Data stewardship. Waltham, MA: Elsevier. |