In this demonstration, Treasury’s Bureau of the Fiscal Service will provide a general overview of the Data Lab and its guiding principles and values. The Data Transparency team will discuss the Data Lab’s relationship to USAspending.gov and our commitment to open data, human-centered design, and agile development. We will examine some Data Lab analyses, such as the recently launched Your Guide to America’s Finances, and review our methodology. Importantly, we will also explain how attendees, and the public at large, can leverage USAspending.gov’s open data to gain insights into public issues they care about. We welcome questions and feedback throughout the discussion.
The Data Lab is a platform designed to help generate public understanding of government spending through interactive data visualizations. It creates tools and visualizations that seek to answer interesting but complicated questions, and shows the power of the data available on USAspending.gov.
Justin Marsico, Product Manager, Research & Analytics for Data Transparency, Bureau of the Fiscal Service, U.S. Department of the Treasury
The ABS is a new survey planned for survey years 2017-2021. The ABS will replace the Survey of Business Owners for employer businesses, the Annual Survey of Entrepreneurs, the Business R&D and Innovation Survey for Microbusinesses, as well as the Innovation component of the Business R&D and Innovation Survey.
The ABS is a joint project between the U.S. Census Bureau and the National Science Foundation’s National Center for Science and Engineering Statistics. The purpose of the ABS is to reduce respondent burden, increase data quality, reduce operational costs and increase efficiency. The survey will produce annual minority-owned business estimates as well as annual R&D estimates on small employer businesses. Further, the survey will measure new business topics such as innovation and technology as well as other business and business owners characteristics. This webinar will give a background on the ABS, the survey components it has absorbed, and briefly discuss methodology and planned data product tabulation levels.
Naomi Blackman, Supervisory Survey Statistician, US Census Bureau
The Quarterly Census of Employment and Wages (QCEW) program from the Bureau of Labor Statistics publishes extremely detailed data at the county and industry level. The scale of the data presented by QCEW creates accessibility challenges for data users. Users who can surmount those challenges have access to a rich store of local data.
This webinar will serve as an introduction to the QCEW resource. It also provides tips on how to bring QCEW data to bear on research projects. Finally, it provides an update on QCEW calendar changes and new products.
David Hiles, Supervisory Economist, Bureau of Labor Statistics
The Census Bureau makes extensive use of administrative data to produce statistics about the U.S. population and economy. The use of external data depends on our ability to link and integrate across sources including census and survey data. By integrating external data, we can reduce respondent burden and increase the scope and depth of statistics and analyses. Researchers in the Census Bureau’s Center for Administrative Records Research and Applications (CARRA) conduct innovative research to investigate how administrative records may improve decennial census and survey operations and to answer important social scientific questions. This webinar will provide an overview the Census Bureau’s data linkage infrastructure, examples of CARRA research using linked data, and how external researchers may request access to Census Bureau data.
Mark Leach, PhD., Chief, Demographic and Decennial Research Group, Center for Administrative Records Research and Applications, U.S. Census Bureau
The U.S. Census Bureau and the Local Employment Dynamics (LED) Partnership in collaboration with the Association of Public Data Users (APDU) and the Council for Community and Economic Research (C2ER), welcomes Mr. Matthew Graham, Mr. Heath Hayward, and Ms. Joyce Hahn as they present, “Introducing J2J Explorer! An Innovative Data Tool on Statistics on Worker Reallocation in the United States.” The Job-to-Job Flows Explorer (Beta) is a web-based analysis tool that enables comprehensive access to an innovative new set of statistics. The application’s interactive visualizations allow for the construction of tables and charts to compare and analyze the flows by worker and firm characteristics. Potential analyses include job flows across industries and state boundaries.
This webinar was originally scheduled for December 7. We will email a recording of the webinar to registrants who are not able to attend on December 19.
Matthew Graham, Chief of Product Coordination and Quality Assurance, LEHD (Census Bureau)
Heath Hayward, Geographer, LEHD (Census Bureau)
Joyce Hahn, Statistician, LEHD (Census Bureau)
Where does the national unemployment rate come from? This presentation will answer that question and others, and will provide information on how this household survey is designed, fielded, and collected, and on the many demographic data series available from the survey on the Bureau of Labor Statistics website.
Megan Dunn, Economist, Bureau of Labor Statistics
Where does total nonfarm employment come from? This presentation will answer that question and will provide information on how this very large establishment survey is designed, fielded, and collected, and on the industry and geographic data series available from the survey on the BLS website.
Angie Clinton, Supervisory Economist, Bureau of Labor Statistics
Changes in the health care system, in population composition, and in risk factors have increased the need for data to identify and address health issues and to guide public health and health care policy and programs. Participants will learn about the National Health Interview Survey (NHIS), one of the major household surveys conducted by the National Center for Health Statistics. In recent years, the NHIS has been enhanced to capture data for emerging issues in population health and health care. Content will include how the NHIS is conducted, what data are available, how to access these data, what publications feature these data, and how it has been used to monitor the effects of recent changes in the health care system.
Stephen J. Blumberg, Associate Director for Science, National Center for Health Statistics
Colleen N. Nugent, Survey Statistician, National Center for Health Statistics
The National Center for Education Statistics (NCES), within the U.S. Department of Education, collects data on more than 7300 postsecondary institutions annually via the Integrated Postsecondary Educations Data System (IPEDS) data collection. These data are accessible to the public through the IPEDS ‘Use the Data’ portal. The first part of the webinar will discuss the IPEDS survey universe, data collection cycle, and data availability, as well as the major IPEDS components and considerations that should be made when using data from each component.
The second part of the webinar will describe the options and processes for accessing IPEDS data, including a discussion of shortcuts, tips, common research questions, and how you can get more help learning about IPEDS or retrieving IPEDS data.
Samuel Barbett, Team Lead IPEDS Data Quality, National Center for Education Statistics
Tara Lawley, Team Lead IPEDS Operations, National Center for Education Statistics
The U.S. Census Bureau provides a wealth of data that business owners can use to help them make informed decisions, but accessing these data can be difficult for many.
This webinar will feature the recently released Census Business Builder: Small Business Edition. This new web tool makes it much easier for users to access and use these data in an intuitive, map-based interface. Participants will learn how to navigate the tool and to maximize its usefulness.
The webinar is not only intended for small business owners themselves but also staff of local organizations who work directly with entrepreneurs and small business owners to help their businesses grow and research organizations.
Andrew Hait, Program Planning & Data User Outreach Liaison, Economy-Wide Statistics Division, Census Bureau