Πληροφορίες μαθήματος

Data Governance: Introduction to the principles, frameworks, and practices essential for managing data as a strategic asset. Data ownership, stewardship, quality, and lifecycle management, roles and responsibilities within a data governance structure. Governance frameworks and policies: regulatory compliance, risk management, and ethical considerations. Implementation strategies, including governance operating models, data cataloging, metadata management, and the integration of governance with business and IT processes.

Data Privacy: Introduction into basic terms/notions: privacy, data protection, confidentiality, security. Information: regulation and governance. Theoretical and regulatory approaches in Greece, EU and abroad. The notion of personal data. Regulation of the use of personal data in EU/ Greece. Analysis of the main concepts, approaches and requirements of General Data Protection Regulation (legal grounds, principles, rights of data subjects). Data Protection by Design and Data Protection Impact Assessment and BA. Big Data Analytics: characteristics of Big Data Analytics and techno-economical context and impact on personal data governance. Big Data Analytics and Data protection principles (purpose limitation, data minimization). Profiling and Decision making. Artificial Intelligence/ Machine learning and processing of personal data. Accountability, transparency and explainability of AI (applications). The issues concerning discrimination and impact of predicting/decision making. Ethics and Business/ Data Analytics.