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What is a Data Democracy?

By   /  December 24, 2017  /  No Comments

A Data Democracy describes a methodological framework of values and actions that benefit and minimize any harm to the public or the typical user. Organizations like Data for Democracy, initiated by Bloomberg and BrightHive, and projects like Data for Democracy, established by the University of Washington to help Myanmar transition to a Data Democracy, are spearheading ideas and debates shaping Data Democracy.

While specifics on Data Democracies are a work in progress, agreement exists about some major ideas. A Data Democracy breaks down into at least six principles:

  • The average end user can access information in any digital format.
  • Nonspecialists should be able to gather and analyze data or engage in self-service without requiring outside help, specifically from IT.
  • Individual private data needs to be protected, as decreed by the General Data Protection Regulation (GDPR).
  • Data Quality is a must.
  • Technologies such as Augmented Analytics, NoSQL, dashboards, and self-service tools, like those created by Collibra, Teradata, and Unilog, play an important part in empowering nontechnical people in a Data Democracy.
  • Data Ethics need to guide Data Democracies.

Other Definitions of Data Democracies Include:

 Businesses are Interested in Data Democracies to:

  • Comply with regulations.
  • Break down data gatekeeping and silos in organizations.
  • Enable transparency in data.
  • Enhance the relationships between IT and business.
  • Quickly identify revenue-driving insights.

Image used under license from Shutterstock.com


About the author

Michelle Knight enjoys putting her information specialist background to use by writing technical articles on enhancing Data Quality, lending to useful information. Michelle has written articles on W3C validator for SiteProNews, SEO competitive analysis for the SLA (Special Libraries Association), Search Engine alternatives to Google, for the Business Information Alert, and Introductions on the Semantic Web, HTML 5, and Agile, Seabourne INC LLC, through AboutUs.com. She has worked as a software tester, a researcher, and a librarian. She has over five years of experience, contracting as a quality assurance engineer at a variety of organizations including Intel, Cigna, and Umpqua Bank. During that time Michelle used HTML, XML, and SQL to verify software behavior through databases Michelle graduated, from Simmons College, with a Masters in Library and Information with an Outstanding Information Science Student Award from the ASIST (The American Society for Information Science and Technology) and has a Bachelor of Arts in Psychology from Smith College. Michelle has a talent for digging into data, a natural eye for detail, and an abounding curiosity about finding and using data effectively.

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