About This Course

What You’ll Learn

• Apply internationally recognized principles of responsible research, research integrity, and open science to strengthen scientific quality, transparency, accountability, and public trust.
• Develop reproducible research workflows using FAIR data principles, research data stewardship, version control, documentation, and transparent analytical practices.
• Strengthen ethical research conduct by applying responsible conduct of research (RCR), publication ethics, responsible authorship, peer review standards, and institutional governance frameworks.
• Leverage digital technologies, artificial intelligence, open repositories, and collaborative research platforms to improve research transparency, reproducibility, and knowledge sharing.
• Lead institutional initiatives that promote responsible research culture, open science, and research excellence through governance, policy development, and continuous improvement.

Who Should Attend

• Researchers, scientists, academics, postgraduate students, and principal investigators conducting research across universities, research institutes, and innovation centres.
• Research managers, research administrators, ethics committee members, institutional review boards (IRBs), and research governance professionals strengthening responsible research systems.
• Journal editors, peer reviewers, publishers, librarians, and scholarly communication professionals promoting publication quality, transparency, and research integrity.
• Government agencies, funding organizations, development partners, and regulatory authorities responsible for research oversight, policy, and compliance.
• Data stewards, information specialists, digital research professionals, and open science champions supporting research data management, FAIR data, and reproducible science.

Prerequisites

• The programme is suitable for researchers, postgraduate students, academics, research administrators, ethics committees, journal editors, funding agencies, and professionals supporting research governance and scientific excellence.
• Participants should have a basic understanding of research methods or scientific research.

Key Benefits

• Develop advanced expertise in responsible research, research integrity, open science, and reproducible research using internationally recognized ethical and governance frameworks.
• Strengthen competence in responsible conduct of research, FAIR data, publication ethics, research data governance, and transparent scientific reporting to improve research quality and credibility.
• Enhance collaboration, knowledge sharing, and scientific impact through open science practices, digital repositories, collaborative platforms, and responsible data stewardship.
• Leverage artificial intelligence, digital research tools, version control systems, and reproducible analytical workflows to improve research efficiency, transparency, and innovation.
• Build institutional capacity to establish high-performing research environments that promote scientific excellence, integrity, accountability, and global research competitiveness.

Delivery Technique

• Executive masterclasses delivered by experts in research integrity, open science, ethics, scholarly publishing, and research governance.
• Interactive workshops on FAIR data, reproducible workflows, research documentation, and open science implementation.
• Case studies exploring publication ethics, scientific misconduct, authorship disputes, data sharing, and responsible AI in research.
• Practical exercises using research repositories, version control systems, electronic laboratory notebooks, and collaborative research platforms.
• Executive capstone project focused on developing an institutional responsible research and open science implementation strategy.