Encyclopedia of Big Data

Living Edition
| Editors: Laurie A. Schintler, Connie L. McNeely


Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-32001-4_75-1

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...


Supplemental Nutrition Assistance Program Temporary Assistance For Needy Families (TANF) Census Short Form Individual Health Information Facilitate Health Care 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Further Readings

  1. American Community Survey – http://www.census.gov/acs/www/
  2. Centers for Disease Control and Prevention – Health Data Interactive – http://www.cdc.gov/nchs/hdi.htm
  3. Population Reference Bureau – http://www.prb.org/
  4. The World Bank – Data – http://data.worldbank.org/
  5. The United Nations – UNdata – http://data.un.org/
  6. U.S. Census – http://www.census.gov/ – http://data.un.org/

Authors and Affiliations

  1. 1.Metropolitan College of New YorkNew YorkUSA
  2. 2.Ramapo College of New JerseyMahwahUSA