scholarly journals Understanding the evolution of open government data research: towards open data sustainability and smartness

2021 ◽  
pp. 002085232110099
Author(s):  
Yingying Gao ◽  
Marijn Janssen ◽  
Congcong Zhang
Keyword(s):  
Artificial Intelligence ◽  
Smart Cities ◽  
Rapid Development ◽  
Academic Research ◽  
Open Data ◽  
Open Government ◽  
Data Movement ◽  
Data Practices ◽  
Open Government Data ◽  
Government Data

The past decade has witnessed a rapid development of open government data practices and academic research. However, there is no systematic survey of existing research to understand the evolution of open government data. Such research can facilitate knowledge transfer within and across domains, and foster learning for countries in the early stages of open government data development. This study quantitively extracted the evolution trajectory of open government data based on the main path analysis method and then analysed the underlying motivations. The results show that open government data research went through four main phases and that the open government data movement has spread towards developing countries and smart cities. Different challenges and issues faced by the researchers in each phase drove the evolution of open government data research. Finally, we discuss future directions of open government data research based on our findings and recent development. There is a tendency to create sustainable open government data and smartness by employing artificial intelligence and creating data marketplaces. Points for practitioners Open government data efforts have evolved over the years into a global phenomenon. Countries have learned from each other and more and more efforts are focused on innovating with open government data by stimulating co-creation and using other incentives. The way that data are opened should focus on achieving goals like innovation, participation, transparency and accountability. There is a tendency to create sustainable open government data and smartness by employing artificial intelligence and creating data marketplaces.

scholarly journals Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Khadidja Bouchelouche ◽  
Abdessamed Réda Ghomari ◽  
Leila Zemmouchi-Ghomari
Keyword(s):  
Open Data ◽  
Transformation Process ◽  
Linked Open Data ◽  
Open Government ◽  
Semantic Web Technologies ◽  
Data Movement ◽  
Open Government Data ◽  
Data Heterogeneity ◽  
Government Data ◽  
Machine Readable

Open Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges.

Is Brazilian Open Government Data Actually Open Data?

2015 ◽  
Vol 4 (2) ◽  
pp. 57-73 ◽  
Author(s):  
Kellyton dos Santos Brito ◽  
Marcos Antônio da Silva Costa ◽  
Vinicius Cardoso Garcia ◽  
Silvio Romero de Lemos Meira
Keyword(s):  
Smart Cities ◽  
Open Data ◽  
Public Information ◽  
Open Government ◽  
Great Promise ◽  
Application Development ◽  
Open Government Data ◽  
Efficiency And Effectiveness ◽  
Structured Analysis ◽  
Government Data

Open Government Data (OGD) hold great promise for transforming the efficiency and effectiveness of public services through the ease of publishing and access to government public information or through the offer of new kinds of services, such as smart cities services and applications. In this work, we analyze the Brazilian OGD current scenario and the main difficulties and challenges of developing applications using that data. First, we performed a structured analysis of Brazilian OGD repositories according to OGD definitions. Then, we analyzed the development of two similar applications that use the OGD of two main Brazilian cities and were submitted to different cities' application contests and were well evaluated in both of them. Based on the analysis, this work concludes that Brazilian OGD initiatives have to resolve some issues before being considered truly open data for use in application development at large.

scholarly journals Open Government and (Linked) (Open) (Government) (Data)

2012 ◽  
Vol 4 (2) ◽  
pp. 265-278 ◽  
Author(s):  
Christian Philipp Geiger ◽  
Jörn Von Lucke
Keyword(s):  
Public Sector ◽  
Open Data ◽  
Environmental Data ◽  
Open Government ◽  
Weather Data ◽  
Free Access ◽  
Data Movement ◽  
Open Government Data ◽  
Government Data ◽  
Sector Data

This article explores the opening and the free usage of stored public sector data, supplied by state. In the age of Open Government and Open Data it’s not enough just to put data online. It should be rather weighed out whether, how and which supplied public sector data can be published. Open Data are defined as stored data which could be made accessible in a public interest without any restrictions for usage and distribution. These Open Data can possibly be statistics, geo data, maps, plans, environmental data and weather data in addition to materials of the parliaments, ministries and authorities. The preparation and the free access to existing data permit varied approaches to the reuse of data, discussed in the article. In addition, impulses can be given for Open Government – the opening of state and administration, to more transparency, participation and collaboration as well as to innovation and business development. The Open Data movement tries to get to the bottom of current publication processes in the public sector which could be formed even more friendly to citizens and enterprises.

scholarly journals Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5204
Author(s):  
Anastasija Nikiforova
Keyword(s):  
Industry 4.0 ◽  
Economic Value ◽  
Open Data ◽  
Digital Data ◽  
Open Government ◽  
Data Sets ◽  
Time Data ◽  
Open Government Data ◽  
Information And Communication ◽  
Government Data

Nowadays, governments launch open government data (OGD) portals that provide data that can be accessed and used by everyone for their own needs. Although the potential economic value of open (government) data is assessed in millions and billions, not all open data are reused. Moreover, the open (government) data initiative as well as users’ intent for open (government) data are changing continuously and today, in line with IoT and smart city trends, real-time data and sensor-generated data have higher interest for users. These “smarter” open (government) data are also considered to be one of the crucial drivers for the sustainable economy, and might have an impact on information and communication technology (ICT) innovation and become a creativity bridge in developing a new ecosystem in Industry 4.0 and Society 5.0. The paper inspects OGD portals of 60 countries in order to understand the correspondence of their content to the Society 5.0 expectations. The paper provides a report on how much countries provide these data, focusing on some open (government) data success facilitating factors for both the portal in general and data sets of interest in particular. The presence of “smarter” data, their level of accessibility, availability, currency and timeliness, as well as support for users, are analyzed. The list of most competitive countries by data category are provided. This makes it possible to understand which OGD portals react to users’ needs, Industry 4.0 and Society 5.0 request the opening and updating of data for their further potential reuse, which is essential in the digital data-driven world.

Re-defining open government data standards for smart cities’ websites: a case study of selected cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Lnenicka ◽  
Stuti Saxena
Keyword(s):  
Design Methodology ◽  
Smart Cities ◽  
Open Government ◽  
Data Standards ◽  
Content Type ◽  
Open Government Data ◽  
Government Data

Purpose The purpose of this paper is to study the select Smart Cities of Czech and Indian counterparts and assess the extent to which open government data (OGD) standards are being adhered to using select indicators. Design/methodology/approach This study integrates the benchmarking frameworks provided in literature on OGD and apply them to evaluate the OGD standards of the Smart Cities’ websites. Findings Whereas the Czech Smart Cities are relatively more advanced in their OGD initiatives, the Indian counterpart is far lagging behind in their endeavors. Originality/value While there are many studies on OGD and Smart Cities, there has been no study which seeks to appreciate if the OGD initiatives are being adhered to by the Smart Cities.

Enhancing transparency through open government data: the case of data portals and their features and capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Lněnička ◽  
Renata Machova ◽  
Jolana Volejníková ◽  
Veronika Linhartová ◽  
Radka Knezackova ◽  
...  
Keyword(s):  
Open Data ◽  
Open Government ◽  
Data Sets ◽  
Web Content ◽  
Content Type ◽  
Domain Experts ◽  
Computer Mediated ◽  
Open Government Data ◽  
Decision Making Processes ◽  
Government Data

PurposeThe purpose of this paper was to draw on evidence from computer-mediated transparency and examine the argument that open government data and national data infrastructures represented by open data portals can help in enhancing transparency by providing various relevant features and capabilities for stakeholders' interactions.Design/methodology/approachThe developed methodology consisted of a two-step strategy to investigate research questions. First, a web content analysis was conducted to identify the most common features and capabilities provided by existing national open data portals. The second step involved performing the Delphi process by surveying domain experts to measure the diversity of their opinions on this topic.FindingsIdentified features and capabilities were classified into categories and ranked according to their importance. By formalizing these feature-related transparency mechanisms through which stakeholders work with data sets we provided recommendations on how to incorporate them into designing and developing open data portals.Social implicationsThe creation of appropriate open data portals aims to fulfil the principles of open government and enables stakeholders to effectively engage in the policy and decision-making processes.Originality/valueBy analyzing existing national open data portals and validating the feature-related transparency mechanisms, this paper fills this gap in existing literature on designing and developing open data portals for transparency efforts.

Re-using Open Government Data (OGD) published by the Election Commission of India (ECI)

foresight ◽  
2018 ◽  
Vol 20 (5) ◽  
pp. 507-526 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Academic Research ◽  
Vote Share ◽  
Open Government ◽  
Party Affiliation ◽  
Content Type ◽  
Demographic Profiles ◽  
Open Government Data ◽  
Government Data ◽  
The Impact ◽  
Election Commission

Purpose The paper aims to “re-use” the Open Government Data (OGD) published by the Election Commission of India (ECI). Bihar’s performance across General Elections, 2014, and Bihar Legislative Assembly Elections, 2015, is compared, wherein the role of contestants’ demographic profiles in determining their vote share is being investigated. Design/methodology/approach Hypotheses are derived based on the impact of contestants’ demographic profiles (age, marital status, social category, political party affiliation, educational qualification, availing telephone and email facility, criminal antecedents) on their vote share. Following a quantitative approach, multiple regression and logistic regression are used to draw inferences from the data contestants’ affidavits – sourced from the ECI website. Findings Results show that contestants’ demographic profiles impact their vote share in the elections. While the ECI website is a viable source for re-using the data available there, data are not available in a user-friendly format and this leads to difficulty in being re-used by different stakeholders. Originality/value Academic research on OGD re-use is negligible, and the present study seeks to contribute towards extant literature by underlining the significance of re-using OGD by drawing inferences from the data accessible via ECI.

Asymmetric Open Government Data (OGD) framework in India

2018 ◽  
Vol 20 (5) ◽  
pp. 434-448 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Economic Value ◽  
Open Data ◽  
Developed Countries ◽  
Open Government ◽  
Data Sets ◽  
Indian States ◽  
Content Type ◽  
Open Government Data ◽  
Government Data ◽  
The Government

Purpose With the ongoing drives towards Open Government Data (OGD) initiatives across the globe, governments have been keen on pursuing their OGD policies to ensure transparency, collaboration and efficiency in administration. As a developing country, India has recently adopted the OGD policy (www.data.gov.in); however, the percolation of this policy in the States has remained slow. This paper aims to underpin the “asymmetry” in OGD framework as far as the Indian States are concerned. Besides, the study also assesses the contribution of “Open Citizens” in furthering the OGD initiatives of the country. Design/methodology/approach An exploratory qualitative following a case study approach informs the present study using documentary analysis where evidentiary support from five Indian States (Uttar Pradesh, Telangana, West Bengal, Sikkim and Gujarat) is being drawn to assess the nature and scope of the OGD framework. Further, conceptualization for “Open Citizen” framework is provided to emphasize upon the need to have aware, informed and pro-active citizens to spearhead the OGD initiatives in the country. Findings While the National OGD portal has a substantial number of data sets across different sectors, the States are lagging behind in the adoption and implementation of OGD policies, and while Telangana and Sikkim have been the frontrunners in adoption of OGD policies in a rudimentary manner, others are yet to catch up with them. Further, there is “asymmetry” in terms of the individual contribution of the government bodies to the open data sets where some government bodies are more reluctant to share their datasets than the others. Practical implications It is the conclusion of the study that governments need to institutionalize the OGD framework in the country, and all the States should appreciate the requirement of adopting a robust OGD policy for furthering transparency, collaboration and efficiency in administration. Social implications As an “Open Citizen”, it behooves upon the citizens to be pro-active and contribute towards the open data sets which would go a long way in deriving social and economic value out of these data sets. Originality/value While there are many studies on OGD in the West, studies focused upon the developing countries are starkly lacking. This study plugs this gap by attempting a comparative analysis of the OGD frameworks across Indian States. Besides, the study has provided a conceptualization of “Open Citizen” (OGD) which may be tapped for further research in developing and developed countries to ascertain the linkage between OGD and OC.

scholarly journals Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

Informatics ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 24 ◽  
Author(s):  
Muhammad Mahboob Khurshid ◽  
Nor Hidayati Zakaria ◽  
Ammar Rashid ◽  
Mohammad Nazir Ahmad ◽  
Muhammad Irfanullah Arfeen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Public Sector ◽  
Open Data ◽  
Open Government ◽  
Management Support ◽  
Top Management Support ◽  
Open Government Data ◽  
Public Sector Organizations ◽  
Potential Benefits ◽  
Government Data

Open government data (OGD) has huge potential to increase transparency, accountability, and participation while improving efficiency in operations, data-driven and evidence-based policymaking, and trust in government institutions. Despite its potential benefits, OGD has not been widely and successfully adopted in public sector organizations, particularly in developing countries. Therefore, the purpose of this study is to explore the theories/frameworks and potential determinants that influence the OGD adoption in public sector organizations. To ascertain the various determinants of OGD adoption in public sector organizations, this study involved a systematic review of already established theories and determinants addressed in the public sector open data domain. The review revealed that the TOE (technology, organization, environment) framework was dominantly employed over theories in the earlier studies to understand organizational adoption to OGD followed by institutional theory. The results, concerning potential determinants, revealed that some of the most frequently addressed determinants are an organization’s digitization/digitalization capacity, compliance pressure, financial resources, legislation, policy, regulations, organizational culture, political leadership commitment, top-management support, and data quality. The findings will enrich researchers to empirically investigate the exposed determinants and improve the understanding of decision-makers to leverage OGD adoption by taking relevant measures.

scholarly journals IMPROVEMENT STRATEGY FOR OPEN GOVERNMENT DATA USING FUZZY AHP: CASE STUDY JAKARTA OPEN DATA

2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Dhea Junestya Pradipta ◽  
Septi Ariani ◽  
Dana Indra Sensuse ◽  
Sofian Lusa ◽  
Pudy Prima
Keyword(s):  
Fuzzy Ahp ◽  
Action Plan ◽  
Open Data ◽  
Standard Operating Procedure ◽  
Monitoring And Evaluation ◽  
Provincial Government ◽  
Open Government ◽  
Improvement Strategy ◽  
Open Government Data ◽  
Government Data

Open Government Data (OGD) implementation provides benefits for government performance and public services. Based on the Indonesian government's openness action plan 2018-2020, the importance of monitoring and evaluation of OGD implementation for sustainable development is emphasized. This study aims to prioritize criteria and provide recommendations for OGD evaluations at the Jakarta Open Data. Through the mix method approach, expert interviews have been conducted to test the validity of the criteria which then carried out the distribution of questionnaires to eleven expert respondents from five departments. The data is processed using the fuzzy-Analytic Hierarchy Process (AHP) to determine each weight on twenty criteria in four dimensions. The results of this study indicate that in the short term, OGD internal evaluations in the DKI Jakarta provincial government can be done by assessing eight main priority criteria, namely accuracy, completeness, compliance, understandability, timeliness, openness, functionality, and reliability which are then based on overall criteria. These results are the basis for discussion in the Data Forum and the establishment of Standard Operating Procedure (SOP) to assist and accelerate the process of collecting, processing, verifying and validating data from 51 regional work units. Externally, the Jakarta Open Data team can pay attention to the conditions of citizen engagement in the OGD and the existence of a Memorandum of Understanding (MoU) between relevant ministries or agencies that does not yet have data officers or information and documentation management officers for effective and efficient data processing

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