A longitudinal cross-sector analysis of open data portal service capability: The case of Australian local governments
Introduction
Open government data (OGD) has been seen as new mechanisms for achieving government transparency, civic engagement, and new forms of collaboration for open innovation which were primary goals of the Open Government Directive of the former Obama administration (U.S. Executive Office, 2009). Many other governments throughout the world have also implemented OGD initiatives (Janssen et al., 2012, Mergel and Desouza, 2013, Kassen, 2013, Zuiderwijk and Janssen, 2014, Conradie and Choenni, 2014, Meijer et al., 2014, Luna-Reyes et al., 2014, Veljković et al., 2014, Jetzek et al., 2014, Open Government Partnership, 2016). The concept of OGD underscores the recognition of OGD as valuable tangible or intangible resources at the government's disposal (Open Government Working Group, 2007, Alanazi and Chatfield, 2012).
The transformative potential of big and open data is notable for enhancing e-government services, openness, government transparency, citizen engagement, and the interaction between governments, citizens, and businesses (Bertot, Gorham, Jaeger, Sarin, & Choi, 2014). Moreover, it is widely held that reuse of OGD has the potential to generate open innovation (Zuiderwijk et al., 2014, Susha et al., 2015) and both economic and social values (Jetzek et al., 2014) in the big data and linked open data ecosystems (Mayer-Schönberger and Cukier, 2014, Chen et al., 2014). In the short period, open government, open data, and open data policy research streams have gained traction (Janssen et al., 2012, Lee and Kwak, 2012, Kassen, 2013, Evans and Campos, 2013, Luna-Reyes et al., 2014, Zuiderwijk and Janssen, 2014, Veljković et al., 2014, Bates, 2014, Martin, 2014). The empowering potential of OGD realized at the local government level may provide a useful platform for promoting proactive citizen engagement (Kassen, 2013). Rather than an emergent view of open data portal as a “public e-service” (Lněnička, 2015, p. 589), however, there exists a simplistic view of open data which equates the government's open data provision with citizen engagement in reusing open data to create benefits (Janssen et al., 2012). Hence, the promotion of meaningful citizen engagement is one of the key challenges facing open government initiatives (Ganapati and Reddick, 2012, Luna-Reyes and Ae Chun, 2012, Evans and Campos, 2013).
Linders (2013) argues that while open data has made substantial contributions towards realizing a more integrated vision of international aid delivery, much of the potential of open data remains unexplored. Furthermore, Kassen (2013, p. 509) also argues that “in practice it is not yet clear how the potential of the open data concept can be realized at the local level as there has been no analysis of current projects thus far.” To date, however, “a comprehensive analysis of the capabilities and potential of these initiatives is currently missing from the recent research literature” (Petychakis, Vasileiou, Georgis, Mouzakitis, & Psarras, 2014, P. 34). There remains “the lack of a clear way to enable empirical analysis and quantitative measurements of OGD initiatives (Carrasco & Sobrepere, 2015, p. 633). Moreover, “little has been done to analyze and prove the impact and accrued value of these OGD initiatives.” (Ubaldi, 2013, p. 1) Finally, empirical research on open data portals at the sub-national level is still lacking (Thorsby, Stowers, Wolslegal, & Tunbuam, 2016).
To address the problem of these observed knowledge gaps, we raise a central research question in this paper:
Do open data portal service capabilities differ in terms of open data provision, data format variety, open data policy intensity, and entrepreneurial data services, including analytics tools, hackathon competitions, and data modeling?
In addressing the research question, we draw on prior OGD research to empirically analyze services and characteristics of OGD portals. In this paper, we define capability as the sophistication of open data service in terms of the key characteristics of the portal listed above in our research question. Prior research on open data portals identified the complexities of the issues involved in the implementation and operation of dynamically changing open data portals, including inadequate rewards for sharing data (Reichman, Jones, & Schildhauser, 2011), inadequate open data policy frameworks for big data (Bertot et al., 2014), data quality controls (Vetrò et al., 2016), data category standard (Thorsby et al., 2016), stimulating civic apps development (Lee, Almirall, & Wareham, 2015), and local challenges (Kassen, 2013, Conradie and Choenni, 2014). However, prior research including Thorsby et al. (2016) limited an analysis of open data portals to only one specific point of time. Since services and characteristics of open data portals are dynamically changing over time, we adopted a longitudinal cross-sector analysis methodology in evaluating twenty Australian open data portals at the local government level over two different time periods. In this paper, we aim to develop a better understanding of supply-side open data portal service capabilities which we view as essential for stimulating demand-side responses: citizen engagement and citizen co-production of open innovation.
The structure of the remaining paper is as follows. The second section presents theoretical foundation that aims to provide us a roadmap for conducting a longitudinal cross-sector analysis of services and characteristics of the operational open data portals. The third section describes the longitudinal research methodology adopted to answer the central research question. The fourth section presents our key findings. The fifth section presents our discussion and the sixth section presents our conclusions and policy recommendations.
Section snippets
Theoretical foundation
In order to answer our research question on the supply-side open data portal performance dynamics, we have drawn on prior research on open data portals (Kassen, 2013, Attard et al., 2015, Thorsby et al., 2016), OGD (Bertot et al., 2014), data analytics tools (Pauwels et al., 2009), and open data policy (Zuiderwijk & Janssen, 2014) to identify salient services and characteristics of open data portals developed and implemented by local governments for proactive publication of open datasets owned
Methodology
As discussed in the previous section, there is the paucity of OGD portal service capability and impact research in general and that at the local government level in particular, in part due to the newness of the OGD research domain. In this paper we examine the implementation of OGD portals at the local government level in a specific context of Australian OGD initiatives. We have strategically selected Australia for four reasons.
First, Australia was ranked as the world's 2nd best in e-government
Results
The central research question we need to answer is: Do open data portal service capabilities differ in terms of open data provision, data format variety, open data policy intensity, and entrepreneurial data services, including analytics tools, hackathon competitions, and data modeling? In addressing this question, we performed a longitudinal cross-sector website analysis of Australia's twenty local governments' OGD portals over two time periods: the first study in October–November 2015 and the
Discussion
In this longitudinal cross-sector analysis of the twenty open data portals in Australian cities, we have answered our central research question on open data portal service capabilities. We found strong evidence indicating the large variation across Australia's twenty open data portal service capabilities at the local government level. In this longitudinal cross-sector analysis study open data portal service capabilities were measured by open data provision, data format variety, open data policy
Conclusion and policy recommendations
The adoption of open data policies and the implementation of open data portals is still new. In consequence, there remains the lack of empirical research on the impact of open data policies (Ubaldi, 2013, Zuiderwijk and Janssen, 2014) and on the impact of supply-side open data portal service capabilities on attracting and engaging citizens/portal users in exploring open data and exploiting open data reuse, data analytics tools, and other entrepreneurial data services that are available on open
Akemi Takeoka Chatfield, M.B.A. and Ph.D. in Business Administration (MIS & Management Sciences summa cum laude) from Texas Tech University in the U.S. Dr. Chatfield is director, E-Government & E-Governance Research Group and senior lecturer in Information Technology with the School of Computing and Information Technology within the Faculty of Engineering and Information Sciences at University of Wollongong in Australia. Her research interests include networked organizations, network technology
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Akemi Takeoka Chatfield, M.B.A. and Ph.D. in Business Administration (MIS & Management Sciences summa cum laude) from Texas Tech University in the U.S. Dr. Chatfield is director, E-Government & E-Governance Research Group and senior lecturer in Information Technology with the School of Computing and Information Technology within the Faculty of Engineering and Information Sciences at University of Wollongong in Australia. Her research interests include networked organizations, network technology benefits realization, social media and government, social network analysis, big data analytics, and open data policy. She published in Journal of Management Information Systems, European Journal of Information Systems, Journal of Information Systems Frontier, Communications of the ACM, Data Base, Information Technology for Development, International Journal of Electronic Governance, Electronic Journal of E-Government, International Journal of Public Administration in the Digital Age, Government Information Quarterly, Information Polity, Social Sciences Computer Review, and Journal of Homeland Security and Emergency Management.
Christopher G. Reddick, Ph.D. in Political Science from University of Sheffield, U.K. Professor Reddick is Chair of the Department of Public Administration within the College of Public Policy at The University of Texas at San Antonio. He is Editor-in-Chief, International Journal of Public Administration in the Digital Age and Series Editor, Public Administration and Information Technology. His research interests include big data and big data analytics in government, citizen-centric e-governance, social media policy and use in government and open data policy. Professor Reddick published more than 85 journal articles and 10 books. He published in Public Administration Review, Government Information Quarterly, International Journal of E-Government, Transforming Government: People, Process and Policy, Information Polity, Social Sciences Computer Review, and Journal of Homeland Security and Emergency Management.