scholarly journals Open Government Data: Fostering Innovation

2014 ◽  
Vol 6 (1) ◽  
pp. 69-79 ◽  
Author(s):  
Ivan Bedini ◽  
Feroz Farazi ◽  
David Leoni ◽  
Juan Pane ◽  
Ivan Tankoyeu ◽  
...  

The provision of public information contributes to the enrichment and enhancement of the data produced by the government as part of its activities, and the transformation of heterogeneous data into information and knowledge. This process of opening changes the operational mode of public administrations, leveraging the data management, encouraging savings and especially in promoting the development of services in subsidiary and collaborative form between public and private entities. The demand for new services also promotes renewed entrepreneurship centred on responding to new social and territorial needs through new technologies. In this sense we speak of Open Data as an enabling infrastructure for the development of innovation and as an instrument to the development and diffusion of Innovation and Communications Technology (ICT) in the public system as well as creating space for innovation for businesses, particularly SMEs, based on the exploitation of information assets of the territory. The Open Data Trentino Project has initiated and fosters the process of opening of public information and develops as a natural consequence of this process of openness, the creation of innovative services for and with the citizens. In this paper we present how our project acts on long-chain, from raw data till reusable meaningful and scalable knowledge base that leads to the production of data reuse through the implementation of services that will enhance and transform the data into information capable of responding to specific questions efficiency and innovation.

2018 ◽  
Vol 20 (5) ◽  
pp. 434-448 ◽  
Author(s):  
Stuti Saxena

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.


Author(s):  
D. P. Misra ◽  
Alka Mishra

This chapter analyzes the impact that an open data policy can have on the citizens of India. Especially in a scenario where government accountability and transparency has become the buzzword for good governance and further look at whether the availability of open data can become an agent for socio-economic change in India. What kind of change it can bring to India which has its own complexities when it comes to socio economic issues and whether the steps taken by the government are up to the mark to address these complexities through data sharing. In order to understand the changes which may occur for the good or the bad, the chapter looks at specific examples where the open data platform have been utilized in India and what impact they have had on the Indian society and how the citizens have responded to it.


2020 ◽  
pp. 47-54
Author(s):  
Kim Young ◽  
Mew Leng Yin

E-government involves the use of latest skills by the government while providing the services and other information management systems to its citizens. Open data refers to the openness of all the data related to government to its citizens so that the government becomes more and more transparent and to decrease negative activities. Transparency refers to the clear and clean image of a government towards its people, which increases the trust of people on their government. The motive of this study is to analyze the impact of e-government adoption and open government data on transparency in ASEAN countries. Two control variables i.e. literacy rate and corruption have also been used in the study. The past literature has also been discussed in literature review section of this study. In order to conduct research, data about the concerned variables of the study has been collected from ASEAN countries consisting of 29 years. After applying several tests and approaches for research purpose, the two major hypotheses of this study are accepted along with the impact of a control variable, corruption. However, the impact of other control variable i.e. literacy rate has been rejected. There are various theoretical, practical and policy making benefits that will increase the transparency.


2021 ◽  
Vol 7 (1) ◽  
pp. 128-153
Author(s):  
Fhikri Fhutera Yudan ◽  
◽  
Muhammad Arief Virgy ◽  

This article aims to describe and analyze how the implementation of Open Government Data by the Government of Bandung City is viewed from the theory of implementation of Open Government Data from research by Azmi Omar, Julian M. Bass, and Peter Lowit. The research method used is a descriptive method with a qualitative approach. Data collection techniques are carried out through literature study, observation, interviews, and documentation. The technique of determining informants was carried out purposively. The results showed that based on the four dimensions of the implementation of Open Government Data proposed by Azmi Omar et al, there are several things that need to be improved, such as community involvement in making datasets which is still minimal, public awareness of the importance of open data, the capacity of all Bandung City Government agencies to utilize manufacturing technology. data, as well as collaboration from parties in charge of observing the journey of Open Data Bandung. Researchers suggest that in order for the implementation of Open Government Data to run better, it is necessary to form a formal cooperation agreement with external parties as data producers and also to build special facilities for Open Data Bandung City so that the running of open government data in Bandung City can run effectively.


2020 ◽  
Vol 12 (20) ◽  
pp. 8608
Author(s):  
Afnan MuhammadSalh AlSukhayri ◽  
Muhammad Ahtisham Aslam ◽  
Kawther Saeedi ◽  
Muhamad Sheraz Arshed Malik

Due to the wide-ranging development of data-oriented sustainable systems in the government and the public sectors, the development of such sustainable systems is replete with potential. The ultimate focus of developing these sustainable systems is to provide citizens with transparency, accountability, awareness as well as a single point of query for asking integrated and smart queries. In view of these benefits, the Saudi government has taken the initiative to publish and develop sustainable open data-oriented information systems. However some major challenges in the Saudi Government Open Data are that the (1) data are published and available in different formats such as Excel sheets, CSV files (Comma Separated Values), images, scanned documents and social media sources such as Twitter, (2) datasets from different government departments are not linked with each other or to existing datasets in Linked Open Data Cloud (even though they have strong links with each other), and (3) there is no SPARQL Endpoint that can be used to pose smart semantic-based queries to Saudi Government Data. This paper is part of an ongoing research project to present a framework that can be used to transfer the government data from different sources to RDF format. The framework can also be used to clean and classify/map the data according to the Saudi Government Ontology. We also describe our approach for semiautomatically linking Saudi Government Datasets with one another as well as with other existing open datasets, thus resulting in the Saudi Linked Open Government Data Cloud (SLOGDC). Finally, taking the topic “Public’s Response to Women’s Driving in Saudi Arabia” as a case study, we demonstrate the SLOGD SPARQL Endpoint as a data-oriented system by executing different queries and analyzing results of these queries. This work also contributes new insights into women’s driving in Saudi Arabia using the SLOGDC, thus suggesting the way forward in shaping policies for decision-making.


2021 ◽  
Vol 11 (3) ◽  
pp. 507-518
Author(s):  
Gina Maestre-Gongora ◽  
Adriana Rangel-Carrillo ◽  
Mariutsi Osorio-Sanabria

Data quality involves a set of characteristics, values, and expressions that are built iteratively. Open government data (OGD) shares the qualities of Big Data regarding volume, speed, accuracy, and value, and the purpose of achieving stakeholders’ reuse stands out. This study uses a bibliographic review to identify the relationships among big data, open data, data quality, and value. We conclude that OGD, a recent trend, encourages collaboration and citizen participation and enables reusing data to pursue public and private innovation. Ensuring data quality makes it possible to obtain value from its reuse and generate Economic Value, Commercial Value, Social Value, and Public Value. Consumers require a solid basis of trust before using public information, which requires a data quality assurance process that strengthens and intensifies the inherent value of the data and activates its potential in different contexts.


2021 ◽  
Vol 73 ◽  
pp. 238-247
Author(s):  
Jie-Shin LIN ◽  
Yu-Lung WU

The expansion of the government has the role definition and administrative category become more complicated. Meanwhile, the government controls the capacity and power to collect huge domestic national data, whose quantity and quality possessed by the government far exceed those controlled by private enterprises, organizations, and individuals. Along with the boom of digital technology and Internet, the emerging brand-new service depends on huge open government data. The questionnaire for this study is randomly distributed to the mass society in southern Taiwan to understand the weights of factors in the mass society. Total 300 copies of questionnaire are distributed, and 271 valid copies are retrieved, with the retrieval rate 90%. The research results reveal that political and social is mostly emphasized among dimensions in Hierarchy, followed by technical and economic and top five indicators, among 15, are ordered public license, single entry, governance transparency, data resolution, and data reuse. According to the results, discussion and suggestions are proposed, expecting to help the government further legislates for simplifying the openness process, reduce costs or commercial data use, and promote domestic competitiveness.


2020 ◽  
Vol 71 ◽  
pp. 140-164
Author(s):  
Huijue Kelly Duan ◽  
Hanxin Hu ◽  
Miklos Vasarhelyi ◽  
Fabricia Silva Rosa ◽  
Mauricio Vasconcellos Leão Lyrio

The objective of this research is to build a forecasting model for the evolution of COVID-19 in the state to assist governmental decision-making. This study adopts the Continuous Intelligent Pandemic Monitoring (CIPM) methodology to evaluate the COVID-19 situation in the state of Santa Catarina, Brazil. By examining the data from the state of Santa Catarina, this research examines the reasonableness of current epidemic numbers by using different exogenous variables, determines the severity level of the pandemic in the cities, and simulates its impacts to guide the government in terms of adequate public policy enforcement. The results reveal that the model helps to understand the importance of open data, and highlights the relevance and social contribution of the availability of data in real-time. Additionally, the prediction model contributes to governmental and societal decision making, as it helps to understand the effects of the pandemic on society through the analysis of exogenous variables (Demographic density; Industrial jobs; Percentage of urban population; Territorial extension of the municipality; List of municipalities by region; GDP/Per capita).


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

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.


FACETS ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 942-962
Author(s):  
Dominique G. Roche ◽  
Monica Granados ◽  
Claire C. Austin ◽  
Scott Wilson ◽  
Gregory M. Mitchell ◽  
...  

Governments worldwide are releasing data into the public domain via open government data initiatives. Many such data sets are directly relevant to environmental science and complement data collected by academic researchers to address complex and challenging environmental problems. The Government of Canada is a leader in open data among Organisation for Economic Co-operation and Development countries, generating and releasing troves of valuable research data. However, achieving comprehensive and FAIR (findable, accessible, interoperable, reusable) open government data is not without its challenges. For example, identifying and understanding Canada’s international commitments, policies, and guidelines on open data can be daunting. Similarly, open data sets within the Government of Canada are spread across a diversity of repositories and portals, which may hinder their discoverability. We describe Canada’s federal initiatives promoting open government data, and outline where data sets of relevance to environmental science can be found. We summarize research data management challenges identified by the Government of Canada, plans to modernize the approach to open data for environmental science and best practices for data discoverability, access, and reuse.


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