Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| The Data Management Lifecycle | |||
| Reference | CB3966 | Version | 1 |
| Created | January 2020 | 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 | Utilise a range of methods to effectively communicate availability of new data and the routine distribution of seismic and well data to internal and external users. |
| 4 | Evaluate data management from an end user perspective. |
| 5 | Identify and analyse the systems and standards for ensuring data quality prior to its use for interpretation and workflows and explain the consequences if these are not in place. |
| Indicative Module Content |
|---|
| Data receipt; Cataloguing and indexing; Loading and storing data; Distribution of subsurface 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 distance 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. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | HAWTIN, S., 2013. The management of oil industry exploration and production data. London: CreateSpace. |
| 2 | KUIJK, H.J.A.V., 2011. Five pillars of knowledge, information and data management. London: CreateSpace. |
| 3 | MAYDANCHIK, A., 2007. Data quality assessment. BradleyBeach, NJ: Techniks Publications. |
| 4 | WANG, R.Y. and STRONG, D.M., 1996. Beyond accuracy: what data quality means to data consumers. Journal of Management Information Systems, Spring, pp.5-33. |