Preventing data plagiarism requires a multi-faceted approach:
Education: Educate researchers and students about the importance of data integrity and proper citation practices. Tools: Utilize plagiarism detection tools to identify potential instances of data plagiarism. Policies: Establish clear policies and guidelines regarding data use and attribution. Peer Review: Implement a robust peer review process to scrutinize data and ensure originality.
