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Integrating Usability Testing into the Design and Development of Data Dissemination Platform for U.S. Official Statistics

Published: 08 May 2021 Publication History

Abstract

The U.S. Census Bureau serves as the leading source of statistical data about the nation's people and economy, and has the responsibility of disseminating the data for public use. To accomplish this mission, an initiative was undertaken to develop a platform that makes the data easier to find, use, and access the official statistical data effectively and efficiently. In this paper, we will describe a human-centered approach to designing and developing the platform, in particular, the process of incremental improvement in search functionality and search results presentation through usability evaluation. The process involves user research, expert review of design concept, low-fidelity wireframe usability testing, high-fidelity usability evaluation, and collaboration between the government agency and academic institutions. Our progress made so far in this project demonstrates the soundness of this human-centered approach.

References

[1]
U.S. Census Bureau. 2003. Using Census Data to Help Local Communities: Census Information Centers at Work. CLO/03-CIC, U.S. Government Printing Office, Washington, DC 20402.
[2]
M. Hotchkiss and J. Phelan, Uses of Census Bureau Data in Federal Funds Distribution, https://www.census.gov/library/publications.html.
[3]
J. Thorsby, G. Stowers, K. Wolslegel, E. Tumbuan (2017). Understanding the content and features of open data portals in American cities. Government Information Quarterly, 34, 53–61.
[4]
R. Sieber, P. Johnsond (2015). Civic open data at a crossroads: Dominant models and current challenges. Government Information Quarterly, 32, 308–315.
[5]
A. Zuiderwijk, M. Janssen (2014). Open data policies, their implementation and impact: A framework for comparison. Government Information Quarterly, 31, 17–29.
[6]
T. Jetzek, M. Avital, N. Bjorn-Andersen (2014). Data-Driven Innovation through Open Government Data. Journal of Theoretical and Applied Electronic Commerce Research, 9, 100–120.

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  • (2023)Developing and hosting web data apps in R programming for official statisticsStatistical Journal of the IAOS10.3233/SJI-22009339:2(501-511)Online publication date: 30-May-2023

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cover image ACM Conferences
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
May 2021
2965 pages
ISBN:9781450380959
DOI:10.1145/3411763
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 08 May 2021

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  • (2023)Developing and hosting web data apps in R programming for official statisticsStatistical Journal of the IAOS10.3233/SJI-22009339:2(501-511)Online publication date: 30-May-2023

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