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from Wiktionary, Creative Commons Attribution/Share-Alike License

The Wikipedia article cites several sources from 2009 having "big data" in the title, which is when the term seems to have caught on. However, economist Francis X. Diebold published a paper already in 2003 titled “Big Data Dynamic Factor Models for Macroeconomic Measurement and Forecasting.” The same two words can be attested in the 1980s and 1990s, but not in the current sense of the term.

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  • big data also refers to the data collection companies ( ie Google, Facebook, advertising agencies).

    July 18, 2013

  • Big Data is an umbrella term for a variety of strategies and tactics that involve massive data sets, and technologies that make sense out of these mindboggling reams of data. The Big Data trend has impacted all industries, including the media industry, as new technologies are being developed to automate and simplify the process of data analysis, and as throngs of data analysts are being trained and hired to meet the demand for the analysis of these data.
    Martha L. Stone, Big Data for Media (Nov. 2014) (Univ. of Oxford Reuters Inst. for the Study of Journalism)

    See data journalism.

    December 29, 2016

  • Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. According to Shamoo and Resnik (2003) various analytic procedures “provide a way of drawing inductive inferences from data and distinguishing the signal (the phenomenon of interest) from the noise (statistical fluctuations) present in the data”..

    While data analysis in qualitative research can include statistical procedures, many times analysis becomes an ongoing iterative process where data is continuously collected and analyzed almost simultaneously. Indeed, researchers generally analyze for patterns in observations through the entire data collection phase (Savenye, Robinson, 2004). The form of the analysis is determined by the specific qualitative approach taken (field study, ethnography content analysis, oral history, biography, unobtrusive research) and the form of the data (field notes, documents, audiotape, videotape).

    An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings. Improper statistical analyses distort scientific findings, mislead casual readers (Shepard, 2002), and may negatively influence the public perception of research. Integrity issues are just as relevant to analysis of non-statistical data as well.

    Northern Illinois University, Faculty Development & Instructional Design Center, Data Analysis

    December 29, 2016