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When transparency and collaboration collide: The USA Open Data program

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  • Alon Peled

Abstract

President Obama's inaugural flagship Open Data program emphasizes the values of transparency, participation, and collaboration in governmental work. The Open Data performance data analysis, published here for the first time, proposes that most federal agencies have adopted a passive–aggressive attitude toward this program by appearing to cooperate with the program while in fact effectively ignoring it. The analysis further suggests that a tiny group of agencies are the only “real players” in the Data.gov web arena. This research highlights the contradiction between Open Data's transparency goal (“All data must be freed”) and federal agencies' goal of collaborating with each other through data trade. The research also suggests that agencies comprehended that Open Data is likely to exacerbate three critical, back‐office data‐integration problems: inclusion, confusion, and diffusion. The article concludes with a proposal to develop an alternative Federal Information Marketplace (FIM) to incentivize agencies to improve data sharing.

Suggested Citation

  • Alon Peled, 2011. "When transparency and collaboration collide: The USA Open Data program," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2085-2094, November.
    • Handle: RePEc:bla:jamist:v:62:y:2011:i:11:p:2085-2094
    DOI: 10.1002/asi.21622
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    Cited by:

    1. Heimstädt, Maximilian, 2017. "Openwashing: A decoupling perspective on organizational transparency," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 77-86.
    2. Martin Lodge & Kai Wegrich, 2015. "Crowdsourcing and regulatory reviews: A new way of challenging red tape in British government?," Regulation & Governance, John Wiley & Sons, vol. 9(1), pages 30-46, March.
    3. Teresa M. Harrison & Theresa A. Pardo & Meghan Cook, 2012. "Creating Open Government Ecosystems: A Research and Development Agenda," Future Internet, MDPI, vol. 4(4), pages 1-29, October.
    4. Frédérik Lesage & Robert A. Hackett, 2014. "Between Objectivity and Openness—The Mediality of Data for Journalism," Media and Communication, Cogitatio Press, vol. 2(2), pages 42-54.
    5. Gabriela Viale Pereira & Marie Anne Macadar & Edimara M. Luciano & Maurício Gregianin Testa, 0. "Delivering public value through open government data initiatives in a Smart City context," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    6. Alan Ponce & Raul Alberto Ponce Rodriguez, 2020. "An Analysis of the Supply of Open Government Data," Future Internet, MDPI, vol. 12(11), pages 1-18, October.
    7. Junyoung Jeong & Keuntae Cho, 2024. "Proposing Machine Learning Models Suitable for Predicting Open Data Utilization," Sustainability, MDPI, vol. 16(14), pages 1-23, July.
    8. Gabriela Viale Pereira & Marie Anne Macadar & Edimara M. Luciano & Maurício Gregianin Testa, 2017. "Delivering public value through open government data initiatives in a Smart City context," Information Systems Frontiers, Springer, vol. 19(2), pages 213-229, April.

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