Strategic Data Management: DAMA-DMBOK Principles for Doctoral Research

Short description of the course:

This course delves into the fundamentals of data management based on the DAMA-DMBOK framework, tailored to the needs of doctoral research. Key topics include data governance, data quality, modeling, integration, and security, with a practical and strategic focus. Students will learn to structure, manage, and utilise data effectively to enhance the quality and impact of their research projects. Through hands-on exercises and case studies, they will develop critical skills to address challenges in data handling within academic and professional contexts.

Learning outcomes:

At the end of this course, participants will be able to:

• understand key principles of the DAMA-DMBOK framework and their application in research;
• apply data governance, quality, and security concepts to manage research data effectively;
• analyse data management challenges and propose solutions for academic and professional contexts;
• utilise best practices in data handling to enhance the validity and impact of research outcomes;
• build critical skills for strategic decision-making in data management aligned with ethical and professional standards.