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Big Data and School Libraries   Tags: big data, data visualizations, info graphics, open data, plagiarism, social media, statistics  

guide to understanding Big Data and its implications and applications for school libraries.
Last Updated: Oct 17, 2016 URL: http://gds.libguides.com/bigdata Print Guide RSS Updates

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Open Data

Open Data is defined by: 

  • Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
  • Reuse and Redistribution: the data must be provided under terms that permit reuse and redistribution including the intermixing with other datasets.
  • Universal Participation: everyone must be able to use, reuse and redistribute - there should be no discrimination against fields of endeavour or against persons or groups. For example, ‘non-commercial’ restrictions that would prevent ‘commercial’ use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.

Source: The Open Data Handbook. 

 

What is Big Data?

Source: Wired, 2012. 

 

What are Data Visualizations?

Big Data by definition is too big to understand in its raw form: enter

data visualizations - the visual representation (and study of) data...that provides insights into a complex data set by communicating its key-aspects in a more intuitive way. - Mashable.

of which probably the most well-known type is the infographic. 

Here's a list of the top free infographic tools to create your own data visualizations. 

 

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"big data"

"statistics" 

"big data sets" 

"sentiment analysis" 

"social media AND big data" 

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"data mining" 

"crowdsourcing"

Kdnuggets.com - a useful source for big datasets as well as for data scientists in general. Run by a data mining consultant and analyst since 1994.  

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