Data Ethics in Research
Data Ethics in Research is the application of ethical frameworks, principles and standards in the collection, handling, analysis, and reporting of data during research, ensuring validity, accuracy, privacy, and consent while minimizing harm, bias and misrepresentation in the pursuit of innovative development solutions.
Level 1: Emerging
At an emerging level, you are aware of the basic principles of data ethics in R&D. You're beginning to apply these principles in day-to-day research, under supervision.
Level 2: Proficient
At a proficient level you are able to identify ethical considerations in data collection, usage, and sharing within research projects, ensuring compliance with regulations and ethical standards in Research and Development.
Level 3: Advanced
At an advanced level, you are able to proactively incorporate ethical considerations into all stages of research, ensuring data integrity, confidentiality, and compliance with regulations in the realm of R&D.
