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Summary
The article examines how scientific datasets can contain copy-paste errors, illustrating three cases from open datasets and discussing detection methods. It emphasizes data integrity, reproducibility, and the role of open repositories like Dryad, highlighting both potential fraud and unintentional mistakes alongside ongoing efforts to improve data quality.