Veidlapa Nr. M-3 (8)
Study Course Description
Data governance
Course Code
SZF_169
Branch of Science
-
ECTS
3.00
Target Audience
Business Management; Information and Communication Science; Management Science
LQF
Level 7
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Līga Ozoliņa
Structure Unit Manager
Ieva Puzo
Structural Unit
Faculty of Social Sciences
Contacts
linda.alksne@rsu.lv
About Study Course
Objective
Students will learn to design and implement data governance programs, develop data policies, ensure data quality, and support enterprise data management. The course will highlight the strategic role of data in decision-making and innovation, preparing students for leadership in data governance. They will gain practical skills to assess, structure, and govern data in line with business goals while fostering a data-driven culture and navigating organizational and regulatory complexities.
Preliminary Knowledge
Not necessary.
Learning Outcomes
Knowledge
1.At the end of the study course, students: - name the basic principles of data management and governance and apply them to describe the organization's data strategy; - identify and describe the main tasks in creating a data strategy and management systems; - have acquired in-depth knowledge of data security policies, methods and technologies used to protect data in the organization; - are familiar with the principles of data quality and metadata management that ensure the accuracy, completeness and compliance of data with the purposes of its use; - have mastered data integration methods and interoperability principles to ensure efficient data flow between different systems and organizational structures;
Skills
1.At the end of the study course, students: - are able to develop and adapt data strategies according to the needs and goals of the organization; - are able to analyze and identify data management problems in organizations, as well as develop strategic solutions to prevent them; - are able to propose appropriate protection mechanisms and rules to ensure the security of organizational data; - are able to assess data quality and plan measures to maintain data accuracy, consistency and compliance with organizational requirements; - are able to plan and coordinate data integration between different systems to ensure data compatibility and smooth flow; - are able to effectively present the developed data management solutions and strategies, convincingly arguing for the compliance of the chosen approach with the needs of the organization;
Competences
1.At the end of the study course, students will: - be able to plan, organize and lead data management initiatives and data strategy development in the organization; - be able to independently identify and solve data management problems, offering solutions that ensure data security, quality and integration; - be able to monitor and maintain data quality and metadata management, guaranteeing data compliance with organizational goals; - be able to initiate innovations in organizational data management, promoting efficient use of resources and adaptation to the changing data environment;
Assessment
Individual work
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Title
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% from total grade
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Grade
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|---|---|---|
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1.
Individual work |
-
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-
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Students' knowledge will be tested in two tests:
- Test No. 1 will be organized after the 5th lecture. The aim of the test is to check whether students understand the main principles of data management, data strategy and data architecture. The test will include both open and closed questions.
- Test No. 2 will take place after the 12th lecture. Its aim is to assess students' knowledge of the main principles covered in the remaining lectures of the course.
In the middle of the course (lectures 6–7), students will be introduced to the main assessment task - Case study. Students will be able to complete this task individually or in pairs. Several case study examples will be provided, based on real organizational situations, in which various data management and leadership problems are visible. Using the knowledge and skills acquired in the course, students will have to develop a strategic plan and create a presentation, offering solutions to the problems of the relevant organization.
The main evaluation criteria for this assignment will be:
- Logical structure and relevance of the data management strategy (30%)
- Situation analysis and problem identification (20%)
- Practical solutions (30%)
- Innovative thinking and approach (10%)
- Quality of presentation and documentation (10%)
The final assignment will have to be submitted and the presentations made at the end of the course.
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Examination
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Title
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% from total grade
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Grade
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|---|---|---|
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1.
Examination |
-
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-
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The student's final grade is made up of:
- Test No. 1 result - 25%
- Test No. 2 result - 25%
- Case study result - 50%
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Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
|
2
|
Topics
|
Introduction
|
-
Lecture
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Modality
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Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data governance
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data management
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data strategy
|
-
Lecture
|
Modality
|
Location
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Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data architecture
|
-
Lecture
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Modality
|
Location
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Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data security
|
-
Lecture
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Modality
|
Location
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Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data ethics
|
-
Lecture
|
Modality
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Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data modelling
|
-
Lecture
|
Modality
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Location
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Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data storage and operations
|
-
Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
|
Auditorium
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2
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Topics
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Data integration and interoperability
|
-
Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
|
Auditorium
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2
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Topics
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Document and content management
|
-
Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
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Topics
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Metadata management and data quality
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Total ECTS (Creditpoints):
3.00
Contact hours:
24 Academic Hours
Final Examination:
Exam
Bibliography
Required Reading
1.
DAMA-DMBOK Data Management Body of Knowledge (2nd edition) by DAMA internationalSuitable for English stream
Additional Reading
1.
Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program (2nd edition) by John LadleySuitable for English stream
2.
The Chief Data Officer's Playbook by Caroline Carruthers and Peter JacksonSuitable for English stream
3.
Non-Invasive Data Governance by Robert S. SeinerSuitable for English stream
4.
Data Strategy by Bernard MarrSuitable for English stream
5.
Data Driven Business Transformation by Caroline Carruthers and Peter JacksonSuitable for English stream