Module Database Search



MODULE DESCRIPTOR
Module Title
Introduction To Data And Information Management
Reference CB1011 Version 2
Created February 2024 SCQF Level SCQF 7
Approved January 2024 SCQF Points 15
Amended April 2024 ECTS Points 7.5

Aims of Module
This module aims to equip students with a foundational understanding of the fundamental concepts, processes, emerging trends, and best practices associated with effective data and information management.

Learning Outcomes for Module
On completion of this module, students are expected to be able to:
1 Describe data, information, knowledge, and wisdom and their significance in organisational contexts following the DIKW hierarchy.
2 Identify different data sources and data types, describe data quality traits, and select appropriate methods for data collection.
3 Acquire an understanding of data, information, and knowledge management systems and their relevance to business decision-making at different levels.
4 Describe the importance of data governance, data ownership, and security best practices in ensuring data quality and compliance.

Indicative Module Content
Define and contextualise data, information, knowledge and wisdom using the DIKW pyramid; Data sources and collection methods; Data and information management systems basics; Fundamentals of data governance and security; Emerging trends in data management. The module engages students with UNESCO's Education for Sustainable Development Normative, Strategic and Critical thinking competencies in recognising, understanding, and questioning the norms regarding the role of data in business decision-making.

Module Delivery
This module is delivered via lectures, tutorials, online exercises, and case studies.

Indicative Student Workload Full Time Part Time
Contact Hours 36 N/A
Non-Contact Hours 114 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
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 Laudon, K. C., & Laudon, J. P. (2022). Management Information Systems: Managing the Digital Firm (17th ed.). Pearson Education.
2 Lobov, A., 2018, October. Smart manufacturing systems: climbing the DIKW pyramid. In IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society (pp. 4730-4735). IEEE.
3 Nabavi, M., Olson, D. L., & Boyce, W. S. (2020). Introduction to Business Analytics, Second Edition (pp. 1-15). Business Expert Press.
4 Mahanti, R. (2022). COMPLIANCE, DATA, QUALITY, AND GOVERNANCE. EDPACS, 66(2), 20-25. Taylor & Francis. ISSN: 0736-6981. EISSN: 1936-1009. DOI: 10.1080/07366981.2022.2026575.
5 Wang, W. Y. C., Pauleen, D., & Taskin, N. (2022). Enterprise systems, emerging technologies, and the data-driven knowledge organisation. Knowledge Management Research & Practice, 20(1), 1-13. DOI: 10.1080/14778238.2022.2039571.

Robert Gordon University, Garthdee House, Aberdeen, AB10 7QB, Scotland, UK: a Scottish charity, registration No. SC013781