Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process[1] and is "one of the important basic"[2] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.[3]
Sometimes what is needed is "information about information (that) can be greater than the value of the information itself."[4] It can also involve filling in required information which is then "data-entered" from what was written on the research document, such as the growth in available items in a category.[4]: 68 This is a higher level of abstraction[5] than metadata, "information about data".[6]
Touch screens introduced even more options, including the ability to stand and do data entry,[16] especially given "a proper height of work surface when performing data entry."
Although most data entered into a computer are stored in a database, a significant amount is stored in a spreadsheet.[17] The use of spreadsheets instead of databases for data entry can be traced to the 1979 introduction of Visicalc,[18] and what some consider the wrong place[19] for storing computational data continues.[20]
Format control[21] and specialized data validation are reasons that have been cited for using database-oriented data entry software.[22][23]
The search for assurance about the accuracy of the data entry process predates computer keyboards and online data entry.[24][25] IBM even went beyond their 056 Card Verifier and developed their quieter IBM 059 model.[26]
Modern techniques go beyond mere range checks, especially when the new data can be evaluated using probability about an event.[27]
In one study, a medical school tested its second year students and found their data entry skills – needed if they are to do small-scale unfunded research as part of their training – were below what the school considered acceptable, creating potential barriers.[2][28]
Common errors in data entry include transposition errors, misclassified data, duplicate data, and omitted data, which are similar to bookkeeping errors. Electronic data interchange (EDI) can help to avoid data entry errors.
^"In a situation where one can obtain probabilistic information about an event, it may also be possible to learn something about the reliability of that info." S. Savari (2001). "Information about information". Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252). p. 22. doi:10.1109/ISIT.2001.935885. ISBN0-7803-7123-2. S2CID60979002.
^"found to be lacking in more than half of the respondents."