scholarly journals The Managerial Dimension of Open Data Success: Focusing on the Open Data Initiatives in Korean Local Governments

2019 ◽  
Vol 11 (23) ◽  
pp. 6758 ◽  
Author(s):  
Kim ◽  
Eom

Open government data (open data) initiatives have been at the forefront of the strategy to make more transparent, responsive, and accountable government, and thereby lead to open innovation across the public and private sector. Governments around the world often understand that open data is disclosing their data to the public as much as possible and that open data success is the result of a data and technology-related endeavor rather than the result of organizational, institutional, and environmental attributes. According to the resource-based theory, however, managerial capability to mobilize tangible and intangible resources and deploy them in adequate places or processes under the leadership of capable leaders during the information technology (IT) project is a core factor leading to organizational performance such as open data success. In this vein, this study aims to analyze managerial factors as drivers and challenges of open data success from the resource-based theory. Findings illustrate that managerial factors are the driving forces that often boost or hinder open data success when institutional, socio-economic, and demographic factors are controlled. Discussion illustrates theoretical and practical implications for the managerial factors as drivers and challenges of open data success in terms of the comparison between technological determinism and the socio-technical perspective.

2017 ◽  
Vol 4 (1) ◽  
pp. 205395171769075 ◽  
Author(s):  
Andrew Schrock ◽  
Gwen Shaffer

Government officials claim open data can improve internal and external communication and collaboration. These promises hinge on “data intermediaries”: extra-institutional actors that obtain, use, and translate data for the public. However, we know little about why these individuals might regard open data as a site of civic participation. In response, we draw on Ilana Gershon to conceptualize culturally situated and socially constructed perspectives on data, or “data ideologies.” This study employs mixed methodologies to examine why members of the public hold particular data ideologies and how they vary. In late 2015 the authors engaged the public through a commission in a diverse city of approximately 500,000. Qualitative data was collected from three public focus groups with residents. Simultaneously, we obtained quantitative data from surveys. Participants’ data ideologies varied based on how they perceived data to be useful for collaboration, tasks, and translations. Bucking the “geek” stereotype, only a minority of those surveyed (20%) were professional software developers or engineers. Although only a nascent movement, we argue open data intermediaries have important roles to play in a new political landscape.


2019 ◽  
pp. 607-623
Author(s):  
Sarah Hartmann ◽  
Agnes Mainka ◽  
Wolfgang G. Stock

The population in many cities all over the world is continuously growing and with this growing number of people infrastructural, health and location-related problems increase. It is assumed that these problems could be addressed by means of open government data which many governments publish on their web portals so that it can be further processed and transformed. Since the citizens themselves know best what they need, governments encourage them to participate in open data innovation competitions and to create value added services for their city. The reuse of open urban government data during hackathons or app competitions is a new trend in knowledge societies of how governments and citizens work together. But have these events still become practice in local governments and are they helpful means to foster government-to-citizen communication and collaboration? The authors analyze innovation competitions in 24 world cities to see how they are applied and whether they have the potential to make the city “smart”.


2019 ◽  
Author(s):  
Morgan Currie ◽  
W. F. Umi Hsu

Most of the current academic literature on open data looks outward at the data’s reuse by the public. is article describes, rather, the cultural practice of open data inside city governments. Hand-in-hand with the launch of open data policies, city governments have embraced data analytics to track performance, set goals, justify budget expenditures, direct public services, and represent their work to the public. rough an increased need to data-fy, or to transform records or actions into digital data, sta considers the analytical possibilities of existing administrative records both as economic evidence of government activities and as reusable assets with statistical and machine-actionable functions. ese data practices provide a legitimized way for municipal governments to know and govern the city and manage its resources. Contended as performative acts, local governments’ data practices help the city perform aspects of its functions and values such accountability, transparency, and democracy.


2016 ◽  
Vol 12 (2) ◽  
Author(s):  
Aurelie Larquemin ◽  
Jyoti Prasad Mukhopadhyay ◽  
Sharon Buteau

Public entities are one of the main producers of socio-economic data around the world. The Open Government Data (OGD) movement encourages these entities to make their data publicly available in order to improve transparency and accountability, which may lead to good governance. Thus, OGD can promote evidence-based public policy by supporting empirical research through making quality data available. Hence, in this paper we discuss the current status of OGD initiative in India, how its principles are considered and applied by the public authorities, and the feedback of the research community about OGD in India.   Les institutions publiques sont parmi les principaux producteurs de données socio-économiques. Le mouvement « Données Gouvernementales ouvertes » les encourage et assiste parfois dans la mise à disposition de leurs données au public, pour améliorer la transparence, ce qui peut conduire à une meilleure gouvernance. Ainsi, les données ouvertes gouvernementales peuvent conduire à de meilleures politiques publiques basées sur leurs résultats en soutenant la recherche par la publication de données de qualité. Ce document traite de la situation des données ouvertes en Inde, leur publication et usage par les institutions publiques et par la communauté de recherche.   Las instituciones públicas son los principales productores de datos socio-económicos. El movimiento de " datos gubernamentales abiertos" alienta estas entidades de poner sus datos a disposición del público para mejorar la transparencia, y la gobernanza. Por lo tanto los datos gubernamentales abiertos pueden promover políticas públicas basadas en evidencia, mediante el apoyo a la investigación empírica a través de hacer datos de calidad disponibles.  En este trabajo se discute lo que es la realidad de los datos gubernamentales abiertos en la India, cómo sus principios están consideradas y aplicadas por las autoridades públicas y la comunidad de investigación.  


2020 ◽  
pp. 1-11
Author(s):  
Ruth D. Carlitz ◽  
Rachael McLellan

Data availability has long been a challenge for scholars of authoritarian politics. However, the promotion of open government data—through voluntary initiatives such as the Open Government Partnership and soft conditionalities tied to foreign aid—has motivated many of the world’s more closed regimes to produce and publish fine-grained data on public goods provision, taxation, and more. While this has been a boon to scholars of autocracies, we argue that the politics of data production and dissemination in these countries create new challenges. Systematically missing or biased data may jeopardize research integrity and lead to false inferences. We provide evidence of such risks from Tanzania. The example also shows how data manipulation fits into the broader set of strategies that authoritarian leaders use to legitimate and prolong their rule. Comparing data released to the public on local tax revenues with verified internal figures, we find that the public data appear to significantly underestimate opposition performance. This can bias studies on local government capacity and risk parroting the party line in data form. We conclude by providing a framework that researchers can use to anticipate and detect manipulation in newly available data.


2019 ◽  
Vol 5 (2) ◽  
pp. 12-18
Author(s):  
Noor Zalina Zainal ◽  
Husnayati Hussin ◽  
Mior Nasir Mior Nazri

– To implement Big Data extensively in the public sector, many governments around the world are taking their initiative to ensure that Open Government Data (OGD) is a success. Even though the governments had provided thousands of datasets in the open data website, the level of use of open government data is still a question that has not been resolved. Therefore, the objective of this paper is to propose a new model of measuring the level of use of open government data. By integrating the Unified Theory of Acceptance and Use of Technology (UTAUT), IS Success Model (ISSM) and Trust factors, this new model perhaps can be a major contribution to the governments in ensuring that citizens are getting benefits from the datasets provided in the open data website.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Han Zhang ◽  
Ying Bi ◽  
Fei Kang ◽  
Zhong Wang

PurposeThe purpose of this paper is to analyze the factors influencing the behaviors of government officials during the implementation of open government data (OGD). By identifying and understanding the key factors that determine government officials' adoption of OGD in China, this study can create a valuable reference for other countries and their decision-making regarding government implementation of OGD.Design/methodology/approachThis research collected data by in-depth interviews with government officials in Chinese OGD departments. Through these interviews, the authors consulted 15 administrators from departments that are responsible for the information tasks in Beijing and other cities on their opinions about OGD. The authors also interviewed senior executives from information technology (IT) companies, as well as open data policy scholars from big data alliance and research institutions.FindingsThis paper provides insights about how to promote government officials in OGD implementation, including (1) strengthen social supervision for the environment, through developing and publishing OGD technology roadmaps, then attracting the public to actively participate in the implementing of OGD; (2) establish an OGD assessment mechanism for government officials, with bonus motivations, position promotion incentives, as well as spiritual incentives via regional or sector rankings; (3) alleviate the risks of officials' OGD decisions in actual practice, using the institution construction of OGD to guide its direction and strengthen security protection.Originality/valueThis paper fulfils an identified need to study how government officials' behavior can be motivated on OGD implementation.


Author(s):  
J. F. Toro ◽  
D. Carrion ◽  
A. Albertella ◽  
M. A. Brovelli

<p><strong>Abstract.</strong> Open Data, and Open Government Data, are proving to be an important resource for the economic development inside the domain where information has a key role (Carrara et al., 2015). Although, different practices for data publishing have led to misalignment, underuse and repetition of information (Bizer et al., 2011). For this reason, the Public Administrations have undergone efforts on integrating the information and promoting interoperability through the implementation of best practices, as for example, the use of a common semantics vocabulary for the metadata (DCAT) as proposed by the ISA2 programme of the European Commission. The Interreg Italy-Switzerland GIOCOnDA project has been proposed for enhancing the data sharing processes in the cross-border area, particularly addressing tourism and mobility that are key economic activities for the region. For this work, a review on the data catalogues published in dati.lombardia.it and opendata.swiss is presented. The revision of the datasets showed the need for: 1) defining common semantics for the description of the categories of data to avoid the arbitrary use of vocabularies, and 2) adopting standards for the description of geodata. On the other hand, it was observed the potential to gather existing information to produce geodata querying the datasets with specific keywords that can provide spatial information. Open data, as well as the use of best practices for publishing data, push towards the use of FOSS. In this work, Python has been exploited to analyse the content of the catalogues to access web portals resources.</p>


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ji Yeon Cho ◽  
Bong Gyou Lee

PurposeThe revitalization of big data has gained attention in the public sector. However, such open government data (OGD) is facing major challenges with respect to data quality and limited use. To solve this problem, this study analyzes the factors driving the use of OGD from the perspective of data providers in the public sector.Design/methodology/approachUsing the analytic hierarchy process and analytic network process methodologies, the importance of the factors driving the use of big data in the public sector was ranked. In addition, the different characteristics of tasks among the departments in a public agency were compared based on expert interviews.FindingsThe factors driving OGD use are not only political environment or the technological environment. The importance of the institutional culture within the organization increases with the motivation of the data provider. The priorities of the OGD factors also depend on the objectives of the department involved.Originality/valueThis study provides implications for improving the publication of open data by analyzing the priorities of the factors driving its use from the perspective of big data providers. It focuses on different perceptions of the factors valued by public officials in charge of data in institutions. The results suggest the need to explore officials' perceptions of value creation in big data fields.


Author(s):  
Hideto Nakamura ◽  
Yoko Ishino

Opendata efforts have now become a global movement, and Japan intends to keep up with this global trend. Measures concerning open data have been undertaken since the Open Government Data Strategy was adopted in July 2012. As a result, all 47 Japanese prefectures had developed Web pages for their own open data by March in 2018. However, only 18.3% of municipalities had their open data released on the Internet. In this paper, we investigate how deeply opendata efforts have penetrated into local municipalities, not just the national average in Japan. By analyzing the opendata disparities, we then infer the factors that have facilitated opendata initiatives in local governments. We introduce an opendata penetration rate‖ for each prefecture, calculating it by using the number of municipalities that have already published their own open data, and we find that there is a regional disparity in the opendata efforts. By adding qualitative information to this quantitative research, we have found that there are three types of collaborations among the local governments that have already published open data. On the basis of these findings, we discuss which type of collaboration is the most promising for small-sized municipalities.


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