Creating a Balanced, Representative Data Ecosystem


Data are at the basis of nearly every decision made in modern society. Ensuring the representativeness of data collection, management, and use extends from thinking about the data itself to every aspect of the data ecosystem. In 2021 and beyond, data-driven government must include diverse perspectives from experts and data users alike. Diversity can promote innovation, ingenuity, and progress for our society. But what does it mean for the government to have a diverse, inclusive, and equitable data ecosystem? And how do we meaningfully apply these concepts in practice? How can we address existing gaps that also support the principles and practices of the Federal Data Strategy and ensure that our government’s data priorities promote a balanced, representative data ecosystem? The Data Coalition, DLT, and DataStax held a conversation to address these questions and practical steps public sector organizations can take over the next year. 


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Emilda B. Rivers

Director, National Center for Science and Engineering Statistics at National Science Foundation

Christine Heflin

Evaluation Officer, U.S. Department of Commerce

Chelsea Navo

Vice President, WW Field Engineering, DataStax

Sherry Weir

Board Member, Data Foundation




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