scholarly journals DaLiF: a data lifecycle framework for data-driven governments

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Syed Iftikhar Hussain Shah ◽  
Vassilios Peristeras ◽  
Ioannis Magnisalis

AbstractThe public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big data. Public Administrations (PAs) pursue big data as “new oil” and implement data-centric policies to transform data into knowledge, to promote good governance, transparency, innovative digital services, and citizens’ engagement in public policy. From the above, the Government Big Data Ecosystem (GBDE) emerges. Managing big data throughout its lifecycle becomes a challenging task for governmental organizations. Despite the vast interest in this ecosystem, appropriate big data management is still a challenge. This study intends to fill the above-mentioned gap by proposing a data lifecycle framework for data-driven governments. Through a Systematic Literature Review, we identified and analysed 76 data lifecycles models to propose a data lifecycle framework for data-driven governments (DaliF). In this way, we contribute to the ongoing discussion around big data management, which attracts researchers’ and practitioners’ interest.

Author(s):  
Mahesh G. T. ◽  
Nandeesha B.

Data has changed the world in an unbelievable way and made an impact on our lifestyles at an exceptional rate. Big data is now the latest science of exploring and forecasting human-machine behavior dealing with a massive amount of associated data. The study is intended to understand the intensity and the competencies of librarians in implementing big data initiative project in academic libraries by the Government of Karnataka State. The study also tries to understand the application of big data in these libraries; 68 (87.17%) librarians completed the survey out of 78 respondents. The results of the study showed a strong association, that is, 72 (92.30%) respondents had the essential competencies and 58 (75.64%) librarians ability, intensity, readiness in implementing big data in academic libraries.


2016 ◽  
Vol 60 (2) ◽  
pp. 230-263 ◽  
Author(s):  
Tumai Murombo

AbstractThe regulation of the extractives sector in Zimbabwe has recently come under scrutiny due to the uncertain social, economic and political environment. Zimbabwe's mining sector was under colonial legislation for a long time and that legislation has recently been reviewed. Existing extractives sector laws do not adequately promote transparency and accountability, an issue recognized by stakeholders throughout the mining sector. The advent of the new constitution and law reform processes indicates Zimbabwe's intention to incorporate good governance, transparency and accountability provisions in the mining sector. State driven reforms have been inspired by global and local civil society initiatives. Analysis shows that, for various reasons, the government does not readily embrace such initiatives, which are important drivers of official policy and legal reforms. Zimbabwean environmental civil society groups have been exceptional in this regard.


2006 ◽  
Vol 45 (4II) ◽  
pp. 1011-1025 ◽  
Author(s):  
Adeel Ghayur

Information and Communication Technologies (ICT), today, are seen as the miracle medicines for curing a nation from the ails of corruption, mismanagement, poor governance, inflation, monopolies, business stagnation, illiteracy and so on. One important aspect concerns development and implementation of ICTs for the EGovernance. E-Governance holds enormous potential in terms of improving service delivery and efficiency, better response to business and citizen needs, and provision of affordable government services. Defined as “Government’s use of technology, particularly web-based Internet applications, to enhance the access to and delivery of government information and service to citizens, business partners, employees, other agencies, and government entities [McClure (2000)]” or “the continuous optimisation of service delivery, constituency participation, and governance by transforming internal and external relationships through technology, the Internet, and new media [Gartner Group (2000)]”. The e-government makes it possible for a government’s different departments and organisations to have direct access to grassroots and vice-versa. It cuts down the costs and delivery times for the government and simultaneously becomes a tool for check and balances against the government. The e-government in short is a tool for good governance—transparency, participation, regulations and accountability.


2016 ◽  
Vol 5 (4) ◽  
pp. 46 ◽  
Author(s):  
Luminita Ionescu

 The aim of this paper is to present the relation between efficient internal control and accounting procedures and how the internal control system could play an important role in reducing bureaucracy. Nowadays, the government accounting and control of public finances are a national and international priority, in the context refugee crisis and terrorist attacks. Modernization of the public sector accounting could accelerate the process of reducing bureaucracy by implementing accounting information system and electronic signature. The reform of the public administration in all European countries developed new control techniques and procedures in order to control public sector budget and financial activity. Efficient intern control procedure and managerial responsibility could contribute to good governance, transparency and low level of bureaucracy. 


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jie Liu

With the advent of Industry 4.0, economic development has become a rapid information age. The content of macroeconomic forecast is very extensive, and the existence of big data technology can provide the government with multilevel, diversified, and complete information and comprehensively process, integrate, summarize, and classify these pieces of information. This paper forecasts the CPI value in the next 12 months according to the CPI in China in the recent 20 years. Compared with the traditional forecasting methods, the forecasting results have higher accuracy and timeliness. At the same time, the trend of growth rate of industrial value-added is analyzed, and the experiments on MAE and RMSE show that the method proposed in this paper has obvious advantages. It also analyzes the disadvantages of traditional psychological decision-making behavior analysis, introduces the development status and advantages of big data-driven psychological decision-making behavior analysis, and opens up new research ideas for psychological decision-making analysis.


2008 ◽  
Vol 56 (4) ◽  
pp. 807-829 ◽  
Author(s):  
Anthony M. Bertelli

This article claims that special-purpose independent agencies such as quangos provide an avenue for understanding the ‘personal vote’ and political control of administrative policy making in Britain. Quangos make policies that directly influence particularistic concerns in an MP's constituency, generating incentives for MPs to meddle with their independence in order to capture the personal vote. A division of labor within the governing party relies on back-bench MPs to sound ‘fire alarms’ when their constituents find fault with quango activities. Once the alarms are sounded, the government has the incentive to manipulate quangos' independence, for example, by making their decision making transparent to provide information for the fire alarm mechanism in the future. This manipulation draws from the government's stock of political capital gained from a supportive electorate. Statistical analysis of transparency in British executive non-departmental public bodies from 2002 to 2005 suggests that increases in back-bench salience (personal vote) and public satisfaction with government (government strength) increase the transparency by which quangos make decisions, thus decreasing their independence. Public satisfaction with the status quo of public service provision, by contrast, decreases transparency, increasing independence. These results suggest that far from being fully independent, quasi-governmental organizations are subject to political control.


Author(s):  
Matthias Lederer ◽  
Juluis Lederer

Data-driven business processes management (BPM) is regarded as a central future trend because automation often makes huge amounts of data (big data) available for the optimisation and control of workflows. Software manufacturers also use this trend and call their solutions big data applications, even if some features are reminiscent of traditional data management approaches. This chapter derives from the basic definitions of big data including 13 central requirements that a big data BPM solution must meet in order to be described as such. One hundred twenty-one process management solutions are evaluated on the basis of these to determine whether they are real big data applications. As a result, less than 5% of all solutions analysed meet all requirements.


2019 ◽  
Vol 12 (1) ◽  
pp. 202
Author(s):  
Eun Sun Kim ◽  
Yunjeong Choi ◽  
Jeongeun Byun

To expand the field of governmental applications of Big Data analytics, this study presents a case of data-driven decision-making using information on research and development (R&D) projects in Korea. The Korean government has continuously expanded the proportion of its R&D investment in small and medium-size enterprises to improve the commercialization performance of national R&D projects. However, the government has struggled with the so-called “Korea R&D Paradox”, which refers to how performance has lagged despite the high level of investment in R&D. Using data from 48,309 national R&D projects carried out by enterprises from 2013 to 2017, we perform a cluster analysis and decision tree analysis to derive the determinants of their commercialization performance. This study provides government entities with insights into how they might adjust their approach to Big Data analytics to improve the efficiency of R&D investment in small- and medium-sized enterprises.


2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Laura Mahrenbach ◽  
Katja Mayer

Background  Emerging states, such as Brazil, India, and China (the BICs), have big plans for big data and digitalization. Research has identified distinct policy visions regarding how technological advances can facilitate economic development and improve governance. Analysis  This article examines how BIC governments frame data-driven ambitions across the diverse issue areas in which governments plan to use big data, as well as how they frame the role(s) of the government and citizens in the era of big data. Conclusion and implications  We find clear differences in discussions of big data across the BICs and across issue areas. Moreover, we show the societal changes that governments seek to effect using big data vary greatly in scope, with Brazil and India seeking more fundamental changes than China.Contexte  Les États émergents, tels que le Brésil, l’Inde et la Chine (les BIC), ont de grands projets pour Big Data et la numérisation. La recherche a identifié des visions politiques distinctes concernant la façon dont les progrès technologiques peuvent faciliter le développement économique et améliorer la gouvernance.Analyse  Cet article examine la manière dont les gouvernements BIC définissent les ambitions basées sur les données dans les divers domaines problématiques dans lesquels les gouvernements envisagent d’utiliser big data, ainsi que la façon dont ils définissent le ou les rôles du gouvernement et des citoyens à l’ère des big data.Conclusion et implications  Nous constatons des différences claires dans les discussions sur big data entre les BIC et entre les domaines problématiques. De plus, nous montrons que les changements sociétaux que les gouvernements cherchent à effectuer en utilisant big data varient considérablement, le Brésil et l’Inde recherchant des changements plus fondamentaux que la Chine.


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