Scientific datasets are riddled with copy-paste errors

Article

• Investigates widespread copy-paste errors found in scientific datasets.
• Errors often originate from manual Excel editing with no structured QA.
• Could be innocent mistakes or deliberate tampering to fit desired results.
• Highlights systemic fragility in how scientific data is handled and shared.

Discussion

• Commenters note bespoke scientific processes make comprehensive QA extremely hard.
• Pressure to confirm hypotheses after years of work may tempt subtle data fudging.
• Thread is sparse; limited substantive discussion beyond the article’s core point.

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