Citizen Engagement With Open Government Data

2022 ◽  
pp. 1539-1566
Author(s):  
Arie Purwanto ◽  
Anneke Zuiderwijk ◽  
Marijn Janssen

Citizen engagement with open government data (OGD) can enhance the effectiveness of governments and improve not only the quality of public policy making but also public services provisioning and ability to address societal problems. Although previous research gives insight into citizen's drivers and inhibitors for engaging with OGD, they have not yet been integrated into a single conceptual model. The aims of this study are twofold: 1) to systematically review the literature on individual citizens' drivers and inhibitors for engaging with OGD and 2) to develop a conceptual model of citizen engagement with OGD based on the findings of the literature review. To attain this objective, the authors systematically analyzed 52 papers published in the period 2009-2019. Seven categories of drivers of citizen engagement are identified: citizen's profile, personal, performance-related, economic, social, technical, and political. Three groups of inhibitors are also identified: citizen's profile, technical, and political. This study helps in understanding how the engagement of citizens can be enhanced.

2020 ◽  
Vol 16 (3) ◽  
pp. 1-25
Author(s):  
Arie Purwanto ◽  
Anneke Zuiderwijk ◽  
Marijn Janssen

Citizen engagement with open government data (OGD) can enhance the effectiveness of governments and improve not only the quality of public policy making but also public services provisioning and ability to address societal problems. Although previous research gives insight into citizen's drivers and inhibitors for engaging with OGD, they have not yet been integrated into a single conceptual model. The aims of this study are twofold: 1) to systematically review the literature on individual citizens' drivers and inhibitors for engaging with OGD and 2) to develop a conceptual model of citizen engagement with OGD based on the findings of the literature review. To attain this objective, the authors systematically analyzed 52 papers published in the period 2009-2019. Seven categories of drivers of citizen engagement are identified: citizen's profile, personal, performance-related, economic, social, technical, and political. Three groups of inhibitors are also identified: citizen's profile, technical, and political. This study helps in understanding how the engagement of citizens can be enhanced.


2020 ◽  
Vol 14 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Arie Purwanto ◽  
Anneke Zuiderwijk ◽  
Marijn Janssen

Purpose Citizen engagement is key to the success of many Open Government Data (OGD) initiatives. However, not much is known regarding how this type of engagement emerges. This study aims to investigate the necessary conditions for the emergence of citizen-led engagement with OGD and to identify which factors stimulate this type of engagement. Design/methodology/approach First, the authors created a systematic overview of the literature to develop a conceptual model of conditions and factors of OGD citizen engagement at the societal, organizational and individual level. Second, the authors used the conceptual model to systematically study citizens’ engagement in the case of a particular OGD initiative, namely, the digitization of presidential election results data in Indonesia in 2014. The authors used multiple information sources, including interviews and documents, to explore the conditions and factors of OGD citizen-led engagement in this case. Findings From the literature the authors identified five conditions for the emergence of OGD citizen-led engagement as follows: the availability of a legal and political framework that grants a mandate to open up government data, sufficient budgetary resources allocated for OGD provision, the availability of OGD feedback mechanisms, citizens’ perceived ease of engagement and motivated citizens. In the literature, the authors found six factors contributing to OGD engagement as follows: democratic culture, the availability of supporting institutional arrangements, the technical factors of OGD provision, the availability of citizens’ resources, the influence of social relationships and citizens’ perceived data quality. Some of these conditions and factors were found to be less important in the studied case, namely, citizens’ perceived ease of engagement and citizens’ perceived data quality. Moreover, the authors found several new conditions that were not mentioned in the studied literature, namely, citizens’ sense of urgency, competition among citizen-led OGD engagement initiatives, the diversity of citizens’ skills and capabilities and the intensive use of social media. The difference between the conditions and factors that played an important role in the case and those derived from the literature review might be because of the type of OGD engagement that the authors studied, namely, citizen-led engagement, without any government involvement. Research limitations/implications The findings are derived using a single case study approach. Future research can investigate multiple cases and compare the conditions and factors for citizen-led engagement with OGD in different contexts. Practical implications The conditions and factors for citizen-led engagement with OGD have been evaluated in practice and discussed with public managers and practitioners through interviews. Governmental organizations should prioritize and stimulate those conditions and factors that enhance OGD citizen engagement to create more value with OGD. Originality/value While some research on government-led engagement with OGD exists, there is hardly any research on citizen-led engagement with OGD. This study is the first to develop a conceptual model of necessary conditions and factors for citizen engagement with OGD. Furthermore, the authors applied the developed multilevel conceptual model to a case study and gathered empirical evidence of OGD engagement and its contributions to solving societal problems, rather than staying at the conceptual level. This research can be used to investigate citizen engagement with OGD in other cases and offers possibilities for systematic cross-case lesson-drawing.


2020 ◽  
Vol 38 (2) ◽  
pp. 209-222
Author(s):  
Hui Zhang ◽  
Jianying Xiao

Purpose To gain an in-depth understanding and provide direction to governments on their quality measurement practices related to open government data (OGD), this paper aims to develop a common frame of reference for quality assessment of OGD. Design/methodology/approach Qualitative meta-synthesis was used to synthesize previous studies on the quality measurement of OGD. This paper applies a meta-synthesis approach to integrate 10 qualitative studies into a common frame of reference for quality assessment of OGD. Findings Based on a seven-step meta-synthesis, the paper proposes a common frame of reference for quality assessment of OGD, which includes six indicators, namely, accuracy, accessibility, completeness, timeliness, consistency and understandability. Originality/value A common frame of reference for quality assessment of OGD will help researchers better understand the quality assessment of OGD and government agencies to improve the quality of OGD that they publish.


2021 ◽  
pp. 016555152110277
Author(s):  
Alfonso Quarati

Open Government Data (OGD) have the potential to support social and economic progress. However, this potential can be frustrated if these data remain unused. Although the literature suggests that OGD data sets’ metadata quality is one of the main factors affecting their use, to the best of our knowledge, no quantitative study provided evidence of this relationship. Considering about 400,000 data sets of 28 national, municipal and international OGD portals, we have programmatically analysed their usage, their metadata quality and the relationship between the two. Our analysis has highlighted three main findings. First, regardless of their size, the software platform adopted, and their administrative and territorial coverage, most OGD data sets are underutilised. Second, OGD portals pay varying attention to the quality of their data sets’ metadata. Third, we did not find clear evidence that data sets’ usage is positively correlated to better metadata publishing practices. Finally, we have considered other factors, such as data sets’ category, and some demographic characteristics of the OGD portals, and analysed their relationship with data sets’ usage, obtaining partially affirmative answers.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Saxena

Purpose The purpose of this paper is to present an evaluation of the national Open Government Data (OGD) portal of India (www.data.gov.in) and underline the significance of maintaining the quality of the data sets published online. Design/methodology/approach The research approach bases itself on the adapted version of embeddedness theory and cybernetic model apart from the data sets–usability framework proposed in recent literature (Machova et al., 2018). Findings Findings from this study indicate that OGD initiative needs to be embedded in the social fabric of the country to ensure that the data sets are being reused by a myriad set of stakeholders for deriving social and economic value. Likewise, the linkages between the stakeholders (for instance, government, citizens, non-governmental bodies, private sector, etc.) should be fortified to enable the reuse of the data sets in an appropriate manner. Originality/value Maintenance of quality of the data sets holds paramount importance. Implicitly, efforts should be made on the part of all the stakeholders concerned that the data sets be qualitatively and quantitatively adequate. This paper concludes with limitations and further research pointers.


foresight ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 321-331 ◽  
Author(s):  
Stuti Saxena

Purpose This paper aims to advance a total quality management (TQM) model for the open government data (OGD) initiatives undertaken by the governments. As an example, the paper investigates the national OGD portal of India (www.data.gov.in) and provides implications of the proposed TQM model for the Indian case. Design/methodology/approach The TQM model for the OGD initiatives (16 dimensions in terms of drivers, enablers and results) is derived from the extant literature on the principles of TQM and OGD. The proposed model is used for drawing implications for the Indian OGD initiative. Findings The application of TQM model for the OGD initiative in India would help in quality maintenance and sustainability. The quality of the OGD portal should be improved by taking the TQM model as a point of reference. Practical implications Ensuring quality of the datasets is important for any OGD initiative. The proposed TQM model leaves insights for the practitioners (policymakers and administrators) to implement the TQM model in the OGD policy initiatives. This would lead to increased trust, transparency and accountability. Social implications Through the integration of the TQM model in the OGD initiative of the country, a wider section of the stakeholders may tap the qualitatively advanced datasets for value creation. Citizen participation and engagement would increase with the integration of the TQM model in the OGD initiative. Originality/value While management of quality in the OGD initiatives has been underlined in the extant OGD-focused literature, the utility of applying TQM principles in OGD initiatives has not been conceived so far. The present study seeks to contribute towards the extant literature on TQM and OGD with the identification of the TQM model for the OGD initiatives.


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