Diversity and Big Data
Diversity reflects a number of different sociocultural demographic variables including, but not limited to, race, ethnicity, religion, gender, national origin, disability, sexual orientation, age, education, and socioeconomic class. Big data refers to extremely large amounts of information that is collected and can be analyzed to identify trends, patterns, and relationships. The data itself is not as important as how it is used. Census data is an example of big data that provides information about characteristics across nations and populations. Other big data is used by multinational organizations, such as the World Bank and the United Nations, to help document and understand how policies and programs differentially affect diverse populations. In the USA, analysis of big data on voting, housing, and employments patterns led to the development of affirmative action and anti-discrimination policies and laws that identify and redress discrimination based on...
- American Community Survey – http://www.census.gov/acs/www/
- Centers for Disease Control and Prevention – Health Data Interactive – http://www.cdc.gov/nchs/hdi.htm
- Population Reference Bureau – http://www.prb.org/
- The World Bank – Data – http://data.worldbank.org/
- The United Nations – UNdata – http://data.un.org/
- U.S. Census – http://www.census.gov/ – http://data.un.org/