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The following classification was developed by the Task Team on Big Data, in June 2013. Comments and feedback are welcome.

 

 

1. Social Networks (human-sourced information): this information is the record of human experiences, previously recorded in books and works of art, and later in photographs, audio and video. Human-sourced information is now almost entirely digitized and stored everywhere from personal computers to social networks. Data are loosely structured and often ungoverned.

  1100. Social Networks: Facebook, Twitter, Tumblr etc.

  1200. Blogs and comments

  1300. Personal documents

  1400. Pictures: Instagram, Flickr, Picasa etc.

  1500. Videos: Youtube etc.

  1600. Internet searches

  1700. Mobile data content: text messages

  1800. User-generated maps

  1900. E-Mail

 

2. Traditional Business systems (process-mediated data): these processes record and monitor business events of interest, such as registering a customer, manufacturing a product, taking an order, etc. The process-mediated data thus collected is highly structured and includes transactions,reference tables and relationships, as well as the metadata that sets its context. Traditional business data is the vast majority of what IT managed and processed, in both operational and BI systems. Usually structured and stored in relational database systems. (Some sources belonging to this class may fall into the category of "Administrative data").

  21. Data produced by Public Agencies

      2110. Medical records

  22. Data produced by businesses

      2210. Commercial transactions

      2220. Banking/stock records

      2230. E-commerce

      2240. Credit cards

 

3. Internet of Things (machine-generated data): derived from the phenomenal growth in the number of sensors and machines used to measure and record the events and situations in the physical world. The output of these sensors is machine-generated data, and from simple sensor records to complex computer logs, it is well structured. As sensors proliferate and data volumes grow, it is becoming an increasingly important component of the information stored and processed by many businesses. Its well-structured nature is suitable for computer processing, but its size and speed is beyond traditional approaches.

  31. Data from sensors

      311. Fixed sensors

         3111. Home automation

         3112. Weather/pollution sensors

         3113. Traffic sensors/webcam

         3114. Scientific sensors

         3115. Security/surveillance videos/images

      312. Mobile sensors (tracking)

         3121. Mobile phone location

         3122. Cars

         3123. Satellite images

  32. Data from computer systems

      3210. Logs

      3220. Web logs

 

 

 

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1 Comment

  1. I`m not certain where it fits but Transportation statistics (as well as inter and intra national trade statistics and travel statistics) can be augmented through GPS sensor information not only from cars, but from virtually all modes of transportation (trucks, trains, airplanes and ships), perhaps we can expand 3122 to include these other forms of transportation/travel/trade data.