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 Data Documentation Initiative (DDI) is an international standard for describing survey and other social science data. Documenting research data with DDI facilitates interpretation and understanding — both by humans and computers. Learn how DDI improves the ability of researchers and organizations to Document, Discover, and Interoperate in this APDU Webinar on March 7.
Barry Radler, Distinguished Researcher, University of Wisconsin
Institute on Aging Jon Johnson, Data Management and Metadata specialist working, UK Data
Jared Lyle, Archivist, Inter-university Consortium for Political and Social Research (ICPSR)
With the 2020 Census fact approaching, both the Census Bureau and outside stakeholders are working to ensure that the Census is fair and accurate. In turn, both groups are developing mapping tools to identify areas that are difficult to count.
The low response score (LRS) is a metric developed by the US Census Bureau to classify geographic areas according to their propensity to self-respond to surveys and Censuses. Nancy Bates of the Census Bureau will showcase a new publicly-available tool that greatly simplifies the use of the LRS using a web-based mapping platform. The platform known as the Response Outreach Area Mapper, or ROAM, allows users to select a geography of interest to display tract-based maps colored-coded according to LRS. In addition to quickly identifying hard-to-survey areas, the ROAM also informs users why a particular area may be hard-to-count.
The Center for Urban Research at the CUNY Graduate Center, working with the Leadership Conference on Civil and Human Rights and other census supporters, developed the “Census 2020 Hard to Count Map” at www.CensusHardtoCountMaps2020.us to provide community groups, the media, Census Full Count Committees, and others with an online tool to highlight the hardest to count tracts in the country. This presentation by Steven Romalewski will introduce this intuitive, easy-to-use tool and potential upcoming additions.
Nancy Bates, Senior Researcher for Survey Methodology, Research and Methodology Directorate, U.S. Census Bureau
Steven Romalewski, Director, Mapping Service at the Graduate Center / CUNY
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
18M open datasets exist today, and growth is accelerating. But these data sets live in data portals without common taxonomies or architectures, and must first be cleaned and prepared by data users. Human and computers normalize, extract meaning, and identify correlations, but this work is siloed: used for one project, then lost forever, only to be repeated from scratch by the next person to touch the data.
Open data can help us rise to humanity’s toughest challenges, but only if we maximize its network effect. To build the web of Linked Data, we have to start by connecting the people who are working with data.
Patrick McGarry of data.world will answer the following questions (and more) in this webinar:
- How can we enhance open data that has already been published?
- How are leading open data publishers combining the power of linked data and open data?
- What is the role of public-private partnership today, and how should it evolve?
Patrick McGarry, Head of Community, data.world
Many organizations collect data to help manage and monitor the performance of their programs. This administrative data can also be used to improve program evaluation and management and produce original research. As a first step, organizations should ensure the data is of a high enough quality to support research and evaluation. The webinar will serve as a primer on how organizations can improve the quality of administrative data for research. The webinar will cover:
- The importance of administrative data quality,
- The major issues of data quality,
- Strategies for reviewing the quality of the data, and
- Strategies for cleaning the data.
The webinar will cover major issues of data quality, including: units of analysis, missing values, invalid values, incorrect formatting, and value inconsistencies both within and across variables. In addition, the webinar will provide specific and concrete strategies for reviewing and cleaning the data in preparation for research. The webinar will be particularly useful for organizations that are relatively new to using administrative data for research and evaluation.
China Layne, Ph.D., Manager, Data Analytics and Research at Summit Consulting
Carley Riley and Brita Roy of 100M Lives will present the evolving measurement framework for 100 Million Healthier Lives, which attempts to give communities tools for measuring mental, physical, social and spiritual wellbeing and its drivers at the community level. They will then discuss key data and measurement opportunities and challenges and engage the audience in a discussion about how best to resolve these challenges to create a wellbeing measurement system for the country, as the National Center for Health & Vital Statistics has recently recommended.
Carley Riley, Assistant Professor, Cincinnati Children’s Hospital Medical Center
Brita Roy, Assistant Professor, Yale University School of Medicine
The Census Bureau is moving toward a seamless data user experience. Drawing on feedback from a wide variety of data users, this new approach to data dissemination will emphasize the consumer experience and will attempt to create a single platform for accessing all Census Bureau data.
An early technical preview of the tool was released in September 2016, and the second technical preview is expected on January 31, 2017 at data.census.gov.
Key features for Release 2 include:
Unified Search: Including a single search bar that provides automatic, scrolling search suggestions and allows a user to search across multiple filters in a single search.
-Table ID Search. Allows users to search by entering the table ID into the search box.
-Integrated Search Results. Returns a consolidated list of results with multiple content types (e.g. webpages and tables).
User Interface Enhancements
-Selection Map Enhancements. Improves the integration and access to the selection map from the results page and highlights the geography filters being added to improve usability and incorporate feedback from user testing.
-Table View. Provides a persistent table preview that lets users find data faster and allows users to sort the table results by relevancy, table name, and table ID improving the experience.
-Filters. Redesigns the filter selection to improve usability and incorporate feedback from initial user testing.
This webinar demonstration will provide users with a walk-through of platform capabilities from our latest release, and will provide an overview of plans for upcoming features as releases continue throughout 2017.
Ally Burleson-Gibson, Communications, Center for Dissemination Services and Consumer Innovation (CEDSCI), U.S. Census Bureau
Robert Chestnut, Chief, Communications, Center for Enterprise Dissemination Services and Consumer Innovation (CEDSCI), U.S. Census Bureau
In the 21st century data-driven economy, reliance on data and data analytics to improve outcomes has become the driving force behind most decision making across all sectors, including government, business, education, and research. Because government leaders are demanding greater transparency and accountability of their resources in light of tightening federal, state, and local budgets, access to reliable, accurate data is more important than ever.
To encourage data sharing among agencies and researchers within states, the Center for Regional Economic Competitiveness (CREC) launched a two-year State Data Sharing Initiative (SDS Initiative). The SDS Initiative research aims to situate administrative data, and the intra-state sharing of such data, as invaluable resources for enhancing evidence-based policymaking efforts, enabling rigorous policy analysis, and improving program outcomes. This webinar was designed to help launch CREC’s website www.statedatasharing.org and introduce the accompanying research paper: “Strengthening evidence-based policymaking by increasing support for data sharing, Promoting Evidence-Based Policymaking in the States by Sharing Administrative Data.”
Marty Romitti, Senior Fellow, Center for Regional Economic Competitiveness