Detection of data fabrication can be challenging but is crucial. Methods include peer review, data audits, replication studies, and the use of statistical tools to identify anomalies or inconsistencies. Advances in data science and forensic analysis techniques are increasingly being used to detect signs of manipulation in datasets.
