data error


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data error

[′dad·ə ‚er·ər]
(computer science)
A deviation from correctness in data, usually an error, which occurred prior to processing the data.

data error

A condition in which data on a digital medium has been altered erroneously. The error can manifest as several incorrect bits or even a single bit that is 0 when it should be 1 or vice versa. See parity checking.
References in periodicals archive ?
South Korea-based Hana Bank is to be probed by regulators for a data error.
Alpha particle radiation emanating from semiconductor packaging materials can cause data errors in memory cells, creating soft errors that can ultimately cause mobile phones, tablets, servers, gaming consoles, and other end use devices to malfunction.
Time and effort to identify and remediate data errors is reduced.
Research from Experian also shows that only 65 per cent of Euro transactions are underpinned by fully accurate destination routing data and 12 per cent of electronic payments made to and from businesses in Euros currently contain data errors.
More than two thirds (69%) of IGD's Leading Edge membership admitted data errors and inaccuracies caused invoicing queries and supply chain glitches as goods were wrongly refused at distribution centres and orders and deliveries failed to match.
While these tapes may pass the simple read/write tests that the recyclers may (or may not) be using, you will be risking increased rates of data errors and decreased performance due to "soft" errors, often resulting in failed backup jobs or missed backup window compliance.
Specific data errors should be submitted to EPA by using the error correction process on the ECHO site.
Leased lines can be conditioned (enhanced) to ensure a higher level of performance, producing higher transmission speeds and fewer data errors.
Certica Solutions' software, called Certify[TM], gives districts the ability to quickly and pro-actively gauge their readiness to submit complete and accurate data to CALPADS, and reduce the time required to review and correct data errors in their student systems.
In addition to providing higher performance, which may be especially important when as many as 15 attached drives are all vying for bandwidth, the Ultra 160 specification adds Cyclic Redundancy Checking (CRC) to reduce data errors and also includes domain validation, a feature that tunes the SCSI controller's performance to match the actual throughput of the drives on the bus.
Increasingly, organizations need the ability to identify, monitor and report on a wide range of data errors that can compromise systems integration, erode confidence in business performance metrics, and prevent timely and accurate regulatory reporting.
Avoiding this redundant data entry reduces data errors and saves the care provider's valuable time while allowing key data to be reported in a timely and accurate manner.

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