DATA PROTECTION, COPYRIGHT AND ETHICS IN RESEARCH
This course provides a comprehensive exploration of key principles and practices in Open Science, focusing on personal data processing, copyright in the digital environment, and research ethics in the age of Artificial Intelligence (AI). It aligns with global and European frameworks like GDPR and the European Open Science Cloud (EOSC), ensuring participants are equipped to address modern research challenges. Through practical examples and engaging activities, learners will gain the skills necessary to navigate complex ethical, legal, and technical considerations in Open Science practices.Course SyllabusCourse Duration~3 hours total (~1 hour per lesson).Lesson 1: Personal Data Processing in ResearchKey Topics:GDPR principles and their impact on research.Individual rights and data protection compliance.Focus:Building a GDPR-compliant workflow for managing personal data.Concluding Note:Achieving ethical research integrity through adherence to data protection standards.Lesson 2: Copyright in the Digital EnvironmentKey Topics:Copyright law essentials for researchers.Open Access licensing frameworks.Focus:Empowering researchers to retain rights, share data ethically, and navigate Open Science environments.Concluding Note:Promoting Open Science through responsible copyright management.Lesson 3: Research Ethics and Responsible Use of AIKey Topics:Research integrity principles with AI integration.Ethical challenges in data management and transparency.Focus:Implementing best practices for responsible research in the digital age.Concluding Note:Fostering trust and accountability in AI-enhanced research.Supporting ResourcesParticipants will have access to:Detailed references on GDPR, copyright, and ethics in research.Practical tools and templates for data management and compliance.Case studies and organizational resources for applying Open Science practices.How to Use it as a TrainerThis course equips trainers to deliver engaging sessions on Open Science topics, integrating interactive methods like quizzes, group discussions, and gamification techniques. Trainers can adapt materials to suit various audiences, including Citizen Scientists, Researchers, and Data Stewards, while emphasizing critical concepts like legal compliance, ethical research, and Open Science adoption.Pedagogical Tip:Use gamification and small group activities to enhance engagement. Facilitate discussions on GDPR challenges, Open Access opportunities, and ethical dilemmas in AI.DetailsLanguage: EnglishResource Types: Interactive | Slides | Exercises | Videos | QuizzesAudience: Researchers, Students, Managers, Citizen Scientists