When Local Governments Request Access to Data: Power and Coordination Mechanisms across Stakeholders
Published date | 01 January 2021 |
Author | Federica Fusi |
Date | 01 January 2021 |
DOI | http://doi.org/10.1111/puar.13307 |
Research Article
When Local Governments Request Access to Data 23
Abstract: There are ongoing efforts to encourage public organizations to use data to enhance their performance and
design public policies. Among barriers to data use, public managers report low access to data owned by stakeholders—
other city departments, other public agencies, and nongovernmental organizations. A critical research question is
how public organizations can design incentives and structures that decrease the time and resources spent to request
and obtain access to data. Drawing from resource dependency theory and a contingency-based approach, this research
examines how routinized, formal nonroutinized, and informal coordination mechanisms facilitate access to data
from influential groups of stakeholders. Hypotheses are tested using 2016 survey data from a nationally representative
sample of 2,500 departments in 500 US cities. Results show that formal nonroutinized coordination facilitates access
to data requested from governmental actors, while informal coordination decreases access to data requested from
nongovernmental organizations.
Evidence for practice
• Around one-third of departments in small- and medium-sized US city governments report that only “some”
or “few” of their requests for data are promptly fulfilled.
• The degree of influence of state and federal agencies decreases autonomy and increases bureaucratic
requirements, which negatively affect access to data.
• Informal coordination is the least effective coordination mechanism to access data, especially from
nongovernmental organizations.
• Formal nonroutinized coordination is associated with greater access to data from other government agencies
and departments.
Public management scholars and practitioners
have shown a growing interest in the use of
data to extract information for managing public
organizations (Jennings and Hall2012; Moynihan
and Hawes2012). Government agencies face complex
policy problems, such as terrorism, health crises, and
natural disasters, which require a large amount of data to
coordinate and support decision-making processes (Pew
Charitable Trust; Roberts2011). Government agencies
also increasingly outsource service delivery to nonprofit
and for-profit organizations (Milward and Provan2000).
Access to data can mitigate information asymmetries that
characterize the principal–agent relationship between
the government and its contractors (Malatesta and
Smith2012; Reynaers and Grimmelikhuijsen2015).
Moreover, public managers wish to harness new tools
for data analysis to improve performance and respond
to citizens’ calls for transparency and accountability
(Allard et al.2018; Pew Charitable Trust2018). Overall,
there are great expectations that data use will enhance
government effectiveness, efficiency, and responsiveness
to constituency needs.
Recent studies note that the use of data is often
hindered by a lack of or low access to data (Allard et
al.2018; Pew Charitable Trust2018). Data access
refers to an organization’s ability to obtain data
from other organizations (Levine and White1961).
Government agencies are unable to autonomously
collect all data they need, because either data
collection is too expensive or other organizations
control the data. Therefore, they request data from
other organizations, which might or might not grant
access. Meijer(2018) describes city governments’
struggle to access data from private companies, such as
Uber and Airbnb. The Pew Charitable Trust(2018)
finds that one-third of state leaders cannot persuade
other public agencies to provide access to data,
while Ki, Kwak, and Song(2020) show that local
governments are less likely to share their economic
data with organizations in other counties. A critical
question for public management is what barriers
prevent access to data and how public organizations
can reduce the time and resources they spend to
request and obtain data from stakeholders.
Federica Fusi
University of Illinois, Chicago
When Local Governments Request Access to Data: Power
and Coordination Mechanisms across Stakeholders
Federica Fusi is an Assistant Professor in
the Department of Public Administration
at the University of Illinois, Chicago. She
received her Ph.D. in Public Administration
and Policy from the School of Public Affairs
at Arizona State University. Her research
focuses on technology adoption and
implementation in city governments as
well as data sharing in the public sector
and science.
Email: ffusi@uic.edu
Public Administration Review,
Vol. 81, Iss. 1, pp. 23–37. © 2020 by
The American Society for Public Administration.
DOI: 10.1111/puar.13307.
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