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Data Protection, Copyright & 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 Duration
~3 hours total (~1 hour per lesson).
Course Syllabus
Lesson 1: Personal Data Processing in Research
Key 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 Environment
Key Topics:
- Copyright law essentials for researchers.
- Copyright ownership and how works covered by
copyright can be used.
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 AI
Key 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 Resources
Participants will have access to:
- Detailed references on GDPR, the main EU legislative initiatives surrounding
Open Science and guidance
documents related to ethics in research. - Practical tools and templates for data management and compliance.
How to Use it as a Trainer
This 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.
Details
- Language: English
- Resource Types: Interactive | Slides | Exercises | Videos | Quizzes
- Audience: Researchers, Students, Managers, Citizen Scientists
Key Learning Outcomes
Participants will:
- Master GDPR compliance for personal data processing in research.
- Understand copyright implications, Open Access principles, and strategies for retaining intellectual property rights.
- Explore ethical considerations and responsible AI use in research, including transparency and informed consent.
Web Address URL
Data Librarian
Data Stewards
Policy Makers
Research Groups
Research Projects
Researchers
Activity Plan
Interactive
Lesson Plan
Quiz
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