What Measures Can Be Taken to Prevent Data Falsification?
Preventing data falsification requires a multi-faceted approach. This includes promoting a culture of ethical research, implementing stringent peer review processes, and ensuring transparency in data reporting. Institutions can also provide training on research ethics and establish robust mechanisms for reporting and investigating allegations of misconduct.
