OBIDAM - Open and Big Data Management

Requirements

60 hp computer and systems sciences (or equivalent)

Short description

• Key concepts in handling large amounts of data, such as structured data, semi-structured data, unstructured data (collectively, the term multi-structured data), streaming data, and Internet of Things
• Key concepts in open data
• Key concepts in Data Management and Data Governance in an organization
• Overview of methods, models and IT techniques to manage and analyze multi-structured data, such as data mining, machine learning, language technology, predictive analysis, Hadoop, etc.
• Methods to develop a data-driven (evidence-based) public organization
• Analysis of the organizational benefits and social benefits of big data and open data
• Ethical aspects of big data and open data
• Risks for identification of individuals using big data and methods for de-identification and secure storage of large data

Aim

After the course the student should be able to:

• Explain the central concepts of big data and open data, and methods, models and techniques to process and analyze such data
• Explain the central concepts in the management and control of data (data management and data governance)
• Explain how public organizations can improve citizen interaction, decision-making and business processes using data management, big data and open data
• Summarize and analyze a topic in the areas of management and control of data, big data, and / or open data based on scientific research, and apply the substance of the concept of a planned or existing public organization (by writing an essay)
• Analyze the impact of solutions based on big data and open data, taking into account organizational, ethical and societal aspects

Syllabus

Outline

The course is given as a distance course. The course is given in english.