Big Data Applications in the Government Sector: A Comparative Analysis among Leading Countries (original) (raw)
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Big-data applications in the government sector
Communications of the ACM, 2014
Big data, a general term for the massive amount of digital data being collected from all sorts of sources, is too large, raw, or unstructured for analysis through conventional relational database techniques. Almost 90% of the world's data today was generated during the past two years, with 2.5 quintillion bytes of data added each day. 7 Moreover, approximately 90% of it is unstructured. Still, the overwhelming amount of big data from the Web and the cloud offers new opportunities for discovery, value creation, and rich business intelligence for decision support in any organization. Big data also means new challenges involving complexity, security, and risks to privacy, as well as a need for new technology and human skills.
Big Data for Digital Government
Politics and Social Activism: Concepts, Methodologies, Tools, and Applications
Big data" is one of the emerging and critical issues facing government in the digital age. This study first delineates the defining features of big data (volume, velocity, and variety) and proposes a big data typology that is suitable for the public sector. This study then examines the opportunities of big data in generating business analytics to promote better utilization of information and communication technology (ICT) resources and improved personalization of e-government services. Moreover, it discusses the big data management challenges in building appropriate governance structure, integrating diverse data sources, managing digital privacy and security risks, and acquiring big data talent and tools. An effective big data management strategy to address these challenges should develop a stakeholder-focused and performance-oriented governance structure and build capacity for data management and business analytics as well as leverage and prioritize big data assets for performance. In addition, this study illustrates the opportunities, challenges, and strategy for big service data in government with the E-housekeeper program in Taiwan. This brief case study offers insight into the implementation of big data for improving government information and services. This article concludes with the main findings and topics of future research in big data for public administration.
Businesses, governments, and the research community can all derive value from the massive amounts of digital data they collect. Governments of leading ICT countries have initiated big-data application projects to enhance operational efficiency, transparency, citizens’ well-being and engagement in public affairs, economic growth, and national security. Analyzing big-data application projects by governments offers guidance for follower countries for their own future big-data initiatives.
Journal of Data and Information Quality, 2021
The public sector, private firms, business community, and civil society are generating data that are high in volume, veracity, and velocity and come from a diversity of sources. This type of data is today known as big data. Public administrations pursue big data as “new oil” and implement data-centric policies to collect, generate, process, share, exploit, and protect data for promoting good governance, transparency, innovative digital services, and citizens’ engagement in public policy. All of the above constitute the Government Big Data Ecosystem (GBDE). Despite the great interest in this ecosystem, there is a lack of clear definitions, the various important types of government data remain vague, the different actors and their roles are not well defined, while the impact in key public administration sectors is not yet deeply understood and assessed. Such research and literature gaps impose a crucial obstacle for a better understanding of the prospects and nascent issues in exploit...
Big Data in e-Government Environments: Albania as a Case Study
Academic Journal of Interdisciplinary Studies, 2018
Nowadays, the new trend in e-government environment is Big Data which is considered to be one of the most critical issues due to the managing, quality and privacy challenges. Creating and storing the huge volume of structured and unstructured data generated by governments in different formats does not provide any benefit for decision-making. Governments have to benefit from this data deluge to use its different aspects such as fraud detection or to measure citizen’s needs and desire for services in different area such as finance, healthcare, environment, economic and social statistics, etc. The objective of this paper is to bring Big Data in the context of e-government environment addressing main challenges that governments faced and describing opportunities in this field. This research summarizes the current situation of big data initiatives in e-government in different countries. This paper presents the current situation regarding digital transformation and e-government environmen...
Looking into Big Data: The Case of the U. S. Federal Government
Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018
This paper reports on a study that aimed to examine the term big data for its meaning in a particular setting. The study chose the U.S. Federal Government as its case and analysed all the big data projects and programs identified as representative of the U.S. Big Data Initiative. It constructed an analytical framework and generated findings in forms of statistic descriptions and narrative discussions. The study discovered that 1) not all the big data projects and programs possess in a collective manner the typical 3 Vs (i.e., volume, variety, and velocity), 2) variety appears to be the most valued characteristic, and 3) to-be-collected data lags largely behind existing data, indicating that technologies such as the Internet of Things are still at the stage of being developed. It also unrevealed that the U.S. Federal Government's current big data focus is heavily placed on IT and the term big data has made that focus hidden. It then suggests to sufficiently distinguish data and the technologies underlying the various features of data so that collaborations between the owners of data and technologies can be forged with easiness and big data benefits can be realized with efficiency and effectiveness.
THE CRITICAL SUCCESS FACTORS FOR BIG DATA ADOPTION IN GOVERNMENT
IAEME, 2019
Over the past decade, governments around the world have been trying to take advantage of Big Data technology to improve public services with citizens. The adoption of Big Data has increased in most countries, but at the same time, the rate of successful adoption and management varies from one country to another. A systematic review of the literature (SLR) was carried out to identify the critical success factors (CSF) for the adoption of big data in the government. It includes the critical success factor of the adoption of Big Data in the government in the last 10 years. It presents the general trends that examine 183 journals and numerous literary works related to government operations, the provision of public services, citizen participation, decision making and policies, and governance reform. We selected 90 journals and found 11 classification factors that refer to the successions of a Big Data adoption in the government.