What Measures Can Be Taken to Prevent Data Falsification?
Preventing data falsification requires a multifaceted approach. Institutions should foster a culture of ethics and transparency. This includes providing ethics training, encouraging open data practices, and enforcing strict penalties for misconduct. Additionally, funding agencies and journals can play a role by requiring detailed data management plans and promoting open-access repositories.
