= OBIDAM - Open and Big Data Management = == 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.