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.
Useful keywords for this topic:
"big data sets"
"social media AND big data"
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.