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// Workers AI · dad joke modeWhy was source data sad? It was rooted.

From Wikipedia, the free encyclopedia

Source data is raw data (sometimes called atomic data) that has not been processed for meaningful use to become Information.[1]

Examples

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  • Data entered at a till in a store
  • A list of information about customers used in a mail merge in Word Processing[2]
  • Handwritten notes or printed documents, before they are typed in, such as an order form or CV[3]
  • Research data[4] such as air temperature measurements

Risks

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Often when data is captured in one electronic system and then transferred to another, there is a loss of audit trail or the inherent data cannot be absolutely verified. There are systems that provide for absolute data export but then the system imported into has to allow for all available data fields to be imported. Similarly, there are transaction logs in many modern database systems. The acceptance of these transaction records into any new system could be very important for any verification of such imported data.[citation needed]

In research, gaining access to source data may be cumbersome. Particularly where sensitive personal data is involved, security and redaction (obscuring information) may be an issue.[5]

See also

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References

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  1. Raw data (source data or atomic data), Margaret Rouse, techtarget.com, retrieved 25 June 2014
  2. Data Source, James Marshall, About.com
  3. Source Data Computer Desktop Encyclopedia
  4. Source Data, McGraw-Hill Dictionary of Scientific & Technical Terms
  5. Redactable and Auditable Data Access for Bioinformatics Research Jordan Brown et al, Georgia Institute of Technology and Emory University, Atlanta, GA