After successfully completing this course, students will be able to:
* Understand and critically analyze ethical, privacy, and security-related issues in digital technologies, with insights that also resonate with students interested in social and cultural aspects.
* Gain a comprehensive awareness of responsibility in data sciences, considering both technical and broader philosophical implications.
* Implement responsible digital projects, appreciating their societal and cultural impacts, relevant to a diverse range of academic interests.
* Critically assess academic papers/projects through ethical research conduct, exploring issues pertinent to various fields, including aspects of humanities research.
* Develop a thorough understanding of research integrity, academic ethics, and data security, bridging technological perspectives with broader humanistic concerns.
* Engage with the intersection of digital technologies with social and philosophical questions, fostering a multidisciplinary dialogue that is inclusive yet appealing to those with an interest in cultural and societal studies

The concept of responsible data management is based on understanding the individual and societal collective duty to prioritize and respond to the ethical, legal and social challenges coming from the "use of data" by humans (or machines) under different "digitalization scenarios". The key elements of the responsible data use - data privacy, data protection and data ethics - are discussed in detail. Students are provided various ethical dilemmas and introduced with various privacy and security issues that arise with digital technologies.