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Data Analytics & Visualization

This guide provides an introduction to research within the field of Data Analytics, Data Visualization, and Spatial Analysis & Design.


When starting your research, you'll need to get the big picture on your topic. One good way to go about this is to consult a reference source like the Encyclopedia of Library and Information Science or wikipedia. Use this stage as an opportunity to get deeply familiar with your topic: learn the specialized lingo, read about related topics, and identify key themes or issues. 


When you search for books, articles, and more, it is a good idea to carefully select keywords to reduce your results to only sources that are relevant to your topic. Because you've already familiarized yourself with the key themes of your topic, you'll probably have a handful of keywords to use.

Use these tips to super-charge your search results:

  • use AND in between search terms to group them together
    (ex: "Time-line AND cartography" searches for results that contain both keywords)
  • use OR for more results
    (ex: "Data Visualizations OR Information Graphics" shows results for both)
  • use NOT if you want to exempt a word from your results
    (ex: "Data Visualization NOT EBSCO" returns results for all discovery layers except EBSCO) 
  • use quotation marks "_" to isolate phrases
    (ex: "Data Analysis" returns results that have the exact phrase in the record content while ignoring results with just the words 'data' or 'analysis' independently)
    use the wildcard * to get all versions of a word
  • (ex: "data analy*" returns results for 'data analysis' as well as 'data analytics')


Try these databases to narrow yourself to good sources of  Data Analytics, Data Visualization, and Spatial Analysis & Design literature.