Data Correction

Definition ∞ Data correction involves modifying inaccurate or outdated information within a dataset to ensure its precision and validity. This process addresses errors, omissions, or inconsistencies, bringing the data into alignment with factual standards. Accurate data is essential for reliable analysis, decision-making, and maintaining the integrity of digital records. Effective data correction protocols are critical for trustworthy systems.
Context ∞ The necessity of data correction frequently arises in discussions about data integrity on various platforms, including those supporting digital assets. While blockchain data is generally immutable, issues can occur at the input layer or in off-chain data feeds, known as oracles. News often covers efforts to improve oracle reliability and address data discrepancies in decentralized applications, highlighting the ongoing pursuit of verifiable and accurate information.