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What’s New in Data?

What’s New in Data?. Liesl. Overview. Changes in data availability Climate for Federal and state agency data provision Implementation of the American Community Survey (ACS) Other data challenges Confidential data/suppression Synthetic data Survey-based data

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What’s New in Data?

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  1. What’s New in Data? Liesl

  2. Overview • Changes in data availability • Climate for Federal and state agency data provision • Implementation of the American Community Survey (ACS) • Other data challenges • Confidential data/suppression • Synthetic data • Survey-based data • Alternative data sources and other options

  3. Overview • Changes in data availability • Climate for Federal and state agency data provision • Procedural changes with ACS • Other data challenges • Confidential data/suppression • Synthetic data • Survey-based data • Alternative data sources and other options

  4. Budgetary/Political Threats • Already targeted • Bureau of Economic Analysis Local Area Personal Income & Employment • Bureau of Labor Statistics special initiatives (e.g. Green Jobs surveys) • Vulnerable Data “arms” of other agencies including Economic Research Service (USDA), Energy Information Administration (Dept. of Energy), etc. • Always under threat • Census Bureau in general • American Community Survey in specific

  5. ACS Implementation http://www.icip.iastate.edu/sites/default/files/uploads/help/census-overview-icip.pdf

  6. Overview • Data availability • Climate for Federal and state agency data provision • Procedural changes with ACS • Other data challenges • Confidential data/suppression • Synthetic data • Survey-based data • Alternative data sources and other options

  7. Confidential and Suppressed Data

  8. Synthetic Data • When a small-area data set looks too good to be true, it probably is. • Health status indicators from BRFSS • Commuting data from On the Map (LED/LEHD) • Air quality indicators • Requires a judgment call on when to use and how to document

  9. Survey-Based Data • Many small area data sets from Census Bureau are survey-based and are published with MOE values. • ACS • SAIPE • SAHIE • How much does this matter for our project? (clue: A LOT!!!!) • How do other data providers handle this issue? (clue: DERELICTION OF DUTY)

  10. ACS Sample Sizes by County Type

  11. Overview • Changes in data availability • Climate for Federal and state agency data provision • Procedural changes with ACS • Other data challenges • Confidential data/suppression • Synthetic data • Survey-based data • Alternative data sources and other options

  12. Implications for Our Project

  13. Alternative Data Providers? • Reality check • Most private sector providers are using data from the same Federal sources we are. • If they’re not, assume the worst about data quality (non-representative samples, unknown methods & motives). • State agency data collection fulfills administrative needs, not data analysis needs. • State agencies face budgetary and political constraints, too. • My philosophy • Accept our reality • Don’t apologize, EDUCATE!!!

  14. Poor: No acknowledgement of uncertainty in map or text http://www.povertyusa.org/the-state-of-poverty/poverty-map-county/

  15. Fair: No acknowledgement of uncertainty in map or text, but uses a reference value that allows for significance testing http://usatoday30.usatoday.com/news/graphics/2012/poverty-maps/index2.htm

  16. Good: No acknowledgement of uncertainty in map, but table includes confidence interval values

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