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Understanding Transparency and Accountability in Open Government Ecosystems: The Case of Health Data Visualizations in a State Government

Published: 07 June 2017 Publication History

Abstract

Many researchers of open government data raised the question as to whether transparency also promotes accountability. Concerning the unclear relationship between transparency and accountability, this case study first develops the conception of accountability in the context of open government and finds that accountability relates to the organizational need for an assessment of policy goals. This paper then examines the process in which a state health agency implements data visualization tools in an attempt to enhance the outcome of its open data policy goals. Drawing on the results from semi-structured interviews with a diverse set of internal users at the state agency, this case study provides some evidence as to how the gap between transparency and accountability can be closed at the organizational level. It also finds that data intermediaries can help government agencies overcome their resource constraints by critically assessing data usability while providing the technological expertise to align their open data policy goals with user expectations. Future research is necessary to examine the role of data intermediaries in wider open data ecosystems including multiple external stakeholders.

References

[1]
Bertot, J.C., Mcdermott, P., and Smith, T. 2012. Measurement of Open Government: Metrics and Process. In Proceedings of the 45th Hawaii International Conference on System Sciences (Maui, Hawaii, January 4-7, 2012). HICCS '12. IEEE. 2491-2499.
[2]
Chui, M., Farrell, D. and Jackson, K. 2014. How government can promote open data. (2014). Available at http://www.mckinsey.com/industries/public-sector/our-insights/how-government-can-promote-open-data
[3]
Creswell, J. W. 2009. Research design: qualitative, quantitative, and mixed methods approaches. Sage, Los Angeles, CA.
[4]
Crotty, M. 1998. The foundations of social research: meaning and perspective in the research process. Sage London, U.K.
[5]
Dawes, S. S., and Helbig, N. 2010. Information Strategies for Open Government: Challenges and Prospects for Deriving Public Value from Government Transparency. In Electronic Government: Lecture Notes in Computer Science. Available at https://www.ctg.albany.edu/publications/journals/ifip_2010_opengov
[6]
Doll W. J., and Torkzadeh, G. 1991. The Measurement of end-user computing satisfaction: Theoretical and Methodological Issues. MIS Quarterly. 15, 1 (Mar. 1991), 5--10.
[7]
Fisher, J., Burstein, F., Lynch, K., and Lazarenko, K. 2008. "Usability usefulness = trust": an exploratory study of Australian health web sites. Internet Research. 18, 5 (2008), 477--498.
[8]
Fountain, J. E. 2001. Building the Virtual State: Information Technology and Institutional Change. Brookings Institution Press, Washington, DC.
[9]
Frissen, P. 2000. Politics, governance and technology: a postmodern narrative on the virtual state. Edward Elgar, Cheltenham, UK.
[10]
Giddens, A. 1984. The Constitution of Society: Outline of the Theory of Structure. University of California Press. Berkeley, CA.
[11]
Gil-Garcia, J. R., and Pardo, T. A. 2005. E-government success factors: Mapping practical tools to theoretical foundations. Government Information Quarterly. 22, 2 (2005), 187--216.
[12]
Grimmelikhuijsen, S G., and Meijer, A. J. 2012. Effects of transparency on the perceived trustworthiness of a government organization: Evidence from an online experiment. Journal of Public Administration Research and Theory. 24, 1 (May 2012), 137--157.
[13]
Hargadon, A. B. 1998. Firms as knowledge brokers: Lessons in pursuing continuous innovation. California Management Review. 40, 3 (1998), 209--227.
[14]
HEDIS & Quality Measurement. Available at http://www.ncqa.org/hedis-quality-measurement/what-is-hedis
[15]
Heintze, T., and Bretschneider, S. 2000. Information technology and restructuring in public organizations: Does adoption of information technology affect organizational structures, communications, and decision making? Journal of Public Administration Research and Theory. 10, 4 (Jan. 2000), 801--830.
[16]
Helbig, N., Gil-Garcia, J. R., and Ferro. E. 2009. Understanding the complexity of electronic government: Implications from the digital divide literature. Government Information Quarterly. 26, 1 (Jan. 2009), 89--97.
[17]
Howells, J. 2006. Intermediation and the role of intermediaries in innovation. Research Policy. 35, 5 (Jun. 2006), 715--728.
[18]
Iivari, J., and Ervasti, I. 1994. User information satisfaction: IS implementability and effectiveness. Information & Management. 27, 4 (Oct. 1994), 205--220.
[19]
Janssen, M., Charalabidis, Y., and Zuiderwijk, A. 2012. Benefits, adoption barriers and myths of open data and open government. Information Systems Management. 29, 4 (Oct. 2012), 258--268.
[20]
Kettinger, W. J., Park, S., and Smith, J. 2009. Understanding the consequences of information systems service quality on IS service reuse. Information & Management. 46, 6 (Aug. 2009), 335--341.
[21]
Koppell, J. 2005. Pathologies of Accountability: ICANN and the challenge of "multiple accountabilities disorder". Public Administration Review. 65, 1 (Jan. 2005), 94--108.
[22]
Kornberger, M., Meyer, R. E., Brandtner, C., and Höllerer, M.A. 2017. When bureaucracy meets the crowd: Studying "open government" in the Vienna city administration. Organization Studies. 38, 2 (Jan. 2017), 179--200.
[23]
Mcdermott, P. 2010. Building open government. Government Information Quarterly. 27, 4 (Oct. 2010), 401--413.
[24]
Meijer, A. 2009. Understanding modern transparency. International Review of Administrative Sciences. 75, 2 (Jun. 2009), 255--269.
[25]
Meijer, A. 2013. Understanding the complex dynamics of transparency. Public Administration Review. 73, 3 (May 2013), 429--439.
[26]
New York State Department of Health. Available at https://www.health.ny.gov/health_care/managed_care/reports/eqarr/2016/about.htm
[27]
Orlikowski, W. J. 2000. Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science. 11, 4 (Aug. 2000), 404--428.
[28]
Pasquier, M., and Villeneuve, J. 2007. Organizational barriers to transparency. International Review of Administrative Sciences. 73, 1 (Mar. 2007), 147--162.
[29]
Sabherwal, R., Jeyaraj, A., and Chowa, C. 2006. Information system success: Individual and organizational determinants. Management Science. 52, 12 (Dec. 2006), 1849--1864.
[30]
Sandoval-Almazan, R., Gil-Garcia, J. R., Luna-Reyes, L. F., Luna, D. E., and Rojas-Romero, Y. 2012. Open Government 2.0: Citizen Empowerment through Open Data, Web and Mobile Apps. In Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance (Albany, NY, October 22-25, 2012). ICEGOV '12. ACM. New York, NY, 30--33.
[31]
Shkabatur, J. 2012. Transparency With(out) Accountability: Open government in the United States. Yale Law & Policy Review. 31, 1 (Mar. 2012), 79--140.
[32]
Strauss A. L., and Corbin J. M. 1990. Basics of qualitative research: grounded theory procedures and techniques. Sage, Newbury Park, CA.
[33]
Thompson, N., Ravindran, N., and Nicosia, S. 2015. Government data does not mean data governance: Lessons learned from a public sector application audit. Government Information Quarterly. 32, 3 (Jul. 2015), 316--322.
[34]
Wang, R. Y., and Strong, D. M. 1996. Beyond Accuracy: What data quality means to data consumers. Journal of Management Information Systems. 12, 4 (1996), 5--33.
[35]
Wong, W., and Welch, E. 2004. Does E-Government promote accountability? A comparative analysis of website openness and government accountability. Governance. 17, 2 (Mar. 2004), 275--297.
[36]
Yu, H., and Robinson, D. G. The new ambiguity of "open government." 59 UCLA Law Review Discourse. 178, (Feb. 2012), 178--208.
[37]
Zuiderwijk, A., and Janssen, M. 2014. Barriers and Development Directions for the Publication and Usage of Open Data: A Socio-Technical View. In Open Government, Opportunities and Challenges for Public Governance, M. Gascó-Hernández, (Ed.). Springer, New York, 115--135.

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  • (2024)Examining the impact of national open data initiatives on human development: A comparative study between Latin America and AfricaRussian Journal of Economics10.32609/j.ruje.10.10750010:1(84-102)Online publication date: 29-Mar-2024
  • (2024)Human factors methods in the design of digital decision support systems for population health: a scoping reviewBMC Public Health10.1186/s12889-024-19968-824:1Online publication date: 10-Sep-2024
  • (2023)Usability and Accessibility of Open Government Data Portals of Countries WorldwideInternational Journal of Electronic Government Research10.4018/IJEGR.32230719:1(1-25)Online publication date: 9-May-2023
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    cover image ACM Other conferences
    dg.o '17: Proceedings of the 18th Annual International Conference on Digital Government Research
    June 2017
    639 pages
    ISBN:9781450353175
    DOI:10.1145/3085228
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Digital Government Society of North America

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    Publication History

    Published: 07 June 2017

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    Author Tags

    1. Accountability
    2. Data Intermediaries
    3. Health Data
    4. Open Data
    5. Open Data Ecosystem
    6. Transparency
    7. Visualization

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    dg.o '17 Paper Acceptance Rate 66 of 114 submissions, 58%;
    Overall Acceptance Rate 150 of 271 submissions, 55%

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    Cited By

    View all
    • (2024)Examining the impact of national open data initiatives on human development: A comparative study between Latin America and AfricaRussian Journal of Economics10.32609/j.ruje.10.10750010:1(84-102)Online publication date: 29-Mar-2024
    • (2024)Human factors methods in the design of digital decision support systems for population health: a scoping reviewBMC Public Health10.1186/s12889-024-19968-824:1Online publication date: 10-Sep-2024
    • (2023)Usability and Accessibility of Open Government Data Portals of Countries WorldwideInternational Journal of Electronic Government Research10.4018/IJEGR.32230719:1(1-25)Online publication date: 9-May-2023
    • (2023)A Guide to Plain Language Data Visualizations: Guidelines for More Understandable Chart DesignProceedings of the XI Latin American Conference on Human Computer Interaction10.1145/3630970.3630990(1-4)Online publication date: 30-Oct-2023
    • (2023)Assessment of public information understanding using plain language and data visualizationProceedings of the 16th International Conference on Theory and Practice of Electronic Governance10.1145/3614321.3614353(228-234)Online publication date: 26-Sep-2023
    • (2023)Towards a Common Definition of Open Data IntermediariesDigital Government: Research and Practice10.1145/35855374:2(1-21)Online publication date: 14-Jun-2023
    • (2022)Visualization as infrastructure: China’s data visualization politics during COVID-19 and their implications for public health emergenciesConvergence: The International Journal of Research into New Media Technologies10.1177/1354856521106987228:1(13-34)Online publication date: 10-Feb-2022
    • (2021)An indicator of inefficient visualizations: the challenge of transparency during the COVID-19 pandemic in BrazilProceedings of the XVII Brazilian Symposium on Information Systems10.1145/3466933.3466937(1-11)Online publication date: 7-Jun-2021
    • (2020)Beyond Transparency, Participation, and Collaboration? A Reflection on the Dimensions of Open GovernmentPublic Performance & Management Review10.1080/15309576.2020.1734726(1-20)Online publication date: 13-Mar-2020
    • (2019)A Systematic Literature Study to Unravel Transparency Enabled by Open Government Data: The Window TheoryPublic Performance & Management Review10.1080/15309576.2019.1691025(1-32)Online publication date: 4-Dec-2019

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