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Responsible Open Science
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Video Lectures
Lecture 1.1.: Emerging, History & Justifications of Open Science
Lecture 1.2.: Benefits and Value of Open Science for Different Stakeholders
Lecture 1.3.: Main Ethical Challenges in Open Science Implementation
Case Study
Lecture 2.1.: Responsibility of Researchers for the Quality of the Collected, Processed & Stored Data
Lecture 2.2.: Responsible Preparation & Management of Quantitative Datasets & Metadata
Lecture 3.1.: Specifics of Informed Consent in the Context of Open Science
Lecture 3.2.: Responsible Anonymisation & Pseudonymisation
Lecture 3.3.: Tension Between Personal Data Protection & the Aim of Open Science
Lecture 4.1.: Types of Potential Research Malpractices in Open Science
Lecture 4.2.: Prevention of Research Malpractices in Open Science
Lecture 5.1.: Trust & Trustworthiness in Open Science
Lecture 5.2.: Responsible and Critical Use of Open Data & the Research Results
Lecture 5.3.: Ethical Aspects of the Use of Artificial Intelligence in Analysing Open Data
Lecture 6.1.: Benefits and Risks in Open Peer Review
Lecture 6.2.: Open Access, Open Access Publishing, Predatory Practices
Lecture 6.3.: Including Open Science Aspects in Assessing Researchers & Research
Lecture 7.1.: Intellectual Property & Fair Competition
Lecture 7.2.: Acknowledging Contributions & Authorship in Open Science
Lecture 7.3.: Open Licenses
Lecture 8.1.: Responsibilities of Citizen Scientists
Lecture 8.2.: Responsibilities of Scientists Towards Citizen Scientists
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Lecture 1.3.: Main Ethical Challenges in Open Science Implementation
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Case Study