Project Name:

Creating and Validating Synthetic Data (NCSES/Census, Annual Business Survey)

Contractor: Knexus Research LLC

Lessons Learned

There are a variety of tools for generating synthetic data. The lessons learned from this period are the importance of exploring the differences between tools and understanding the strengths and limitations of each. Further work is necessary to tune the algorithms to produce a robust final product.

 

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Disclaimer: America’s DataHub Consortium (ADC), a public-private partnership, implements research opportunities that support the strategic objectives of the National Center for Science and Engineering Statistics (NCSES) within the U.S. National Science Foundation (NSF). These results document research funded through ADC and is being shared to inform interested parties of ongoing activities and to encourage further discussion. Any opinions, findings, conclusions, or recommendations expressed above do not necessarily reflect the views of NCSES or NSF. Please send questions to ncsesweb@nsf.gov.