Last modified: 23 Jul 2024 10:44
The course will provide an understanding of: data governance issues and how they impact on business workflows; data management organisation models and structures, data roles and responsibilities; legal issues relating to data governance, and a more detailed exploration of data protection law; data policies, strategies, standards and procedures; the relation between data governance and data quality, security, entitlements and obligations; and data management maturity and impact.
Study Type | Postgraduate | Level | 5 |
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Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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The course will provide an understanding of data governance issues and how they impact on E & P business workflows; provide an understanding of data management organisation models and structures, data roles and responsibilities; provide an overview of legal issues which can arise in respect of data governance, and a more detailed exploration of data protection law; provide an understanding of data policies, strategies, standards and procedures; provide an understanding of the relation between data governance and data quality, security, entitlements and obligations; provide an understanding of data management maturity and impact.
Assessment Type | Summative | Weighting | 25 | |
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Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 30 | |
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Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 15 | |
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Assessment Weeks | Feedback Weeks | |||
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Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 10 | |
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Assessment Weeks | Feedback Weeks | |||
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Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 10 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 10 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
Knowledge Level | Thinking Skill | Outcome |
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Conceptual | Understand | Explain the key data governance issues which can arise in the petroleum industry, including data provenance, standards, data security, & regulatory control |
Procedural | Analyse | Analyse business practices to identify data governance issues which need to be prioritized and pursued |
Conceptual | Understand | Explain the key legal issues which can arise in data governance, including contract, standards, intellectual property, & regulatory control |
Procedural | Evaluate | Evaluate business practices to prioritize legal process items that require prioritization and action |
Procedural | Create | Create a data protection risk report that addresses relevant data governance questions and the implications for the business |
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