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The progress, reproducibility, and validity of life sciences research depend on maintaining robust data integrity. The complete need for truthful and transparent data practices highlights the severe implications of data fabrication and falsification, including inaccurate research findings, misguided policy decisions, and reputational damage. Retraction data, statistics and case studies show a marked increase in research misconduct, which now accounts for over 60% of the biomedical sciences retractions, with significant impacts on scientific advancement, resource utilization, and public trust. Strengthening research integrity through improved editorial oversight, post-publication review systems, and further measures is discussed. Data integrity is not just an ethical necessity; it is essential for ensuring reliable research outcomes and preventing the dissemination of misinformation.