In 2007, Professor Sir David King outlined seven principles for scientific researchers to follow, aimed at preventing corrupt practices and establishing trust between science and society.
- Act with skill and care in all scientific work. Maintain up to date skills and assist their development in others.
- Take steps to prevent corrupt practices and professional misconduct. Declare conflicts of interest.
- Be alert to the ways in which research derives from and affects the work of other people, and respect the rights and reputations of others.
- Ensure that your work is lawful and justified.
- Minimise and justify any adverse effect your work may have on people, animals and the natural environment.
- Seek to discuss the issues that science raises for society. Listen to the aspirations and concerns of others.
- Do not knowingly mislead, or allow others to be misled, about scientific matters. Present and review scientific evidence, theory or interpretation honestly and accurately.
How effectively can these principles be applied to Data Scientists in the field of Advance Analytics?
Should it fall to The Operational Research Society, as a professional body, to advocate these principles? To train its members and ensure they remain committed to them, and to maintain its application as advances are made in the field, through continous professional development courses (CPDs)?