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  2. Data entry - Wikipedia

    en.wikipedia.org/wiki/Data_entry

    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. Data entry clerk - Wikipedia

    en.wikipedia.org/wiki/Data_entry_clerk

    A data entry clerk. A data entry clerk, also known as data preparation and control operator, data registration and control operator, and data preparation and registration operator, is a member of staff employed to enter or update data into a computer system. [1] [2] Data is often entered into a computer from paper documents [3] using a keyboard ...

  4. Data processing - Wikipedia

    en.wikipedia.org/wiki/Data_processing

    Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.

  5. Data logger - Wikipedia

    en.wikipedia.org/wiki/Data_logger

    A data logger (also datalogger or data recorder) is an electronic device that records data over time or about location either with a built-in instrument or sensor or via external instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or computer), and called digital data loggers (DDL).

  6. Typing - Wikipedia

    en.wikipedia.org/wiki/Typing

    Currently, two tools are publicly available for text entry researchers to record text entry performance metrics. The first is TEMA [ 30 ] that runs only on the Android (operating system) . The second is WebTEM that runs on any device with a modern Web browser, and works with almost all text entry technique.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]