INF131A Data management foundations

The course delivers an introduction to foundational aspects of practice and theory in data management, with a focus both on relational databases and non-relational knowledge bases. Topics to be discussed include:

• Principles of good practice in data managment: FAIR principles, data and metadata quality, dealing with insufficiently annotated data.
• Relational databases: SQL (structured query language), database schemas, user interfaces, entity-relationship diagrams and connection to object-oriented programming.
• Knowledge graph technology: RDF, semantically characterized data exchange, ontology development.

The participants develop the ability to

• assess requirements and evaluate/improve processes in data managment in accordance with established recommendations for good practice;
• work with relational databases in a systematic way and support users by developing simple interfaces in Python;
• use non-relational databases, specify metadata and communicate information following the formalism based on RDF/OWL.

Competencies from the course can be developed further through INF131B (Introduction to logic).