scholarly journals Trusted Smart Statistics: How new data will change official statistics

Data & Policy ◽  
2020 ◽  
Vol 2 ◽  
Author(s):  
Fabio Ricciato ◽  
Albrecht Wirthmann ◽  
Martina Hahn

Abstract In this discussion paper, we outline the motivations and the main principles of the Trusted Smart Statistics (TSS) concept that is under development in the European Statistical System. TSS represents the evolution of official statistics in response to the challenges posed by the new datafied society. Taking stock from the availability of new digital data sources, new technologies, and new behaviors, statistical offices are called nowadays to rethink the way they operate in order to reassert their role in modern democratic society. The issue at stake is considerably broader and deeper than merely adapting existing processes to embrace so-called Big Data. In several aspects, such evolution entails a fundamental paradigm shift with respect to the legacy model of official statistics production based on traditional data sources, for example, in the relation between data and computation, between data collection and analysis, between methodological development and statistical production, and of course in the roles of the various stakeholders and their mutual relationships. Such complex evolution must be guided by a comprehensive system-level view based on clearly spelled design principles. In this paper, we aim at providing a general account of the TSS concept reflecting the current state of the discussion within the European Statistical System.

2020 ◽  
pp. 1-18
Author(s):  
Sofie De Broe ◽  
Peter Struijs ◽  
Piet Daas ◽  
Arnout van Delden ◽  
Joep Burger ◽  
...  

This paper aims to elicit a discussion of the existence of a paradigm shift in official statistics through the emergence of new (unstructured) data sources and methods that may not adhere to established and existing statistical practices and quality frameworks. The paper discusses strengths and weaknesses of several data sources. Furthermore, it discusses methodological, technical and cultural barriers in dealing with new data and methods in data science; cultural as in the culture that reigns in an area of expertise or approach. The paper concludes with suggestions of updating the existing quality frameworks. We take the position that there is no paradigm shift but that the existing production processes should be adjusted and that existing quality frameworks should be updated in order for official statistics to benefit from the fusion of data, knowledge and skills among survey methodologists and data scientists.


2015 ◽  
Vol 35 (3) ◽  
pp. 84-91
Author(s):  
Samuel Sepúlveda ◽  
Ania Cravero Leal

<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p><span>Systematic literature reviews (SLR) have reached a considerable level of adoption in Software Engineering (SE), how-ever protocol adaptations for its implementation remain tangentially addressed. This work provides a chronological framework for the use and adaptation of the SLR protocol, including its current status. A systematic literature search was performed, reviewing a set of twelve articles being selected in accordance with the inclusion and exclusion criteria between 2004 and 2013, using digital data sources recognized by the SE community. A chronological framework is provided that includes the current state of the protocol adaptations to conduct SLR in SE. The results indicate areas where the quantity and quality of investigations needs to be increased and the identi- fication of the main proposals providing adaptations for the protocol conducting SLR in SE. </span></p></div></div></div></div>


2021 ◽  
pp. 1-14
Author(s):  
Ayoub Faramarzi ◽  
Reza Hadizadeh ◽  
Saeed Fayyaz ◽  
Sohrab Sajadimanesh ◽  
Abbas Moradi

Data pervasiveness was made possible by the advent of new technologies such as the Internet and the World Wide Web in every human and non-human activity. This created an exponential increase or data explosion in data generation, coined under the term Big data. Alternatively, Big Data sources can contribute to the reduction of the response burden or they can be used only to study some economic or social phenomena before designing a statistical survey which is inherently expensive to pilot. Also, incorporating Big Data sources into official statistics means maintaining a net competitive advantage and relevance of the official statistics products compared to those provided by a plethora of commercial players, with reference to large corporations that are active in the field of information technology. In this paper, the web scraping technique was used to extract the daily prices of the food and drinks products in order to replace them with conventional prices which had been used for price indices. Moreover, these sorts of new datasets enable us to calculate the indices in smaller time scales like weekly or daily basis in comparison to the conventional approach which is possible only on monthly basis. Although web scraping has its own problems, it is more economically friendly, accurate, and time-saving, especially in urban areas. Findings revealed that the web scraping technique can be applied as an effective alternative to conventional methods for CPI. Also, this technique can be used for other price statistics.


Author(s):  
Imadeddine Mountasser ◽  
Brahim Ouhbi ◽  
Bouchra Frikh ◽  
Ferdaous Hdioud

Nowadays, people and things are becoming permanently interconnected. This interaction overloaded the world with an incredible digital data deluge—termed big data—generated from a wide range of data sources. Indeed, big data has invaded the domain of tourism as a source of innovation that serves to better understand tourists' behavior and enhance tourism destination management and marketing. Thus, tourism stakeholders have increasingly leveraging tourism-related big data sources to gather abundant information concerning all tourism industry axes. However, big data has several complexity aspects and brings commensurate challenges that go along with its exploitation. It has specifically changed the way data is acquired and managed, which may influence the nature and the quality of the conducted analyses and the made decisions. Thus, this article investigates the big data acquisition process and thoroughly identifies its challenges and requirements. It also reveals its current state-of-the-art protocols and frameworks.


Author(s):  
Nadezhda Gryazeva

В статье изложен обзор современного состояния теории и практики предупреждения мошенничеств, совершаемых осужденными с помощью средств мобильной связи из учреждений уголовно-исполнительной системы России. Исследованы и оценены изменения законодательства, регулирующего рассматриваемую сферу правоотношений, предложения ученых относительно повышения эффективности борьбы с указанным видом мошенничеств, практические материалы. Обозначена проблема, связанная с отсутствием в данных официальной статистики о состоянии преступности в России сведений о количестве мошенничеств, совершаемых осужденными с помощью средств мобильной связи, что бывает необходимо для проведения научных и прикладных исследований, выработки мер по предупреждению и оценки их эффективности в борьбе с анализируемым противоправным деянием. Сформулированы рекомендации, направленные на повышение эффективности предупреждения «телефонных» мошенничеств, совершаемых осужденными в период отбывания наказания в исправительных учреждениях, в частности предложение правового характера, регулирующее сферу индивидуальной профилактики правонарушений, совершаемых осужденными, и предложение в области статистического учета преступлений и отчетности.The article presents an overview of the current state of the theory and practice of fraud prevention committed by convicts using mobile communications from institutions of the criminal Executive system of Russia. The changes in the legislation regulating the sphere of legal relations, the proposals of scientists on improving the effectiveness of combating this type of fraud, practical materials are studied and evaluated. There is a problem related to the lack of information in the official statistics on the state of crime in Russia on the number of frauds committed by convicts by means of mobile communication, which is necessary for scientific and applied research, the development of measures to prevent and assess their effectiveness in combating the illegal act in question. Recommendations have been made to improve the prevention of «telephone» fraud committed by convicted persons while serving their sentences in correctional institutions, in particular a legal proposal regulating the scope of individual prevention of offences committed by convicted persons and a proposal in the field of crime statistics and reporting.


Author(s):  
Paul Chaisty ◽  
Nic Cheeseman ◽  
Timothy J. Power

This chapter summarizes the main parameters of coalitional presidentialism and the key concepts, definitions, explanatory frameworks, indicators, and propositions. It summarizes our understanding of coalitional presidentialism; the distinction between coalition formation and maintenance; the definition of coalitions; the multidimensional understanding of coalition management (the ‘presidential toolbox’); and an analytical framework that emphasizes the motivation of presidents to achieve cost minimization under constraints determined by system-level, coalition-level, and conjunctural factors. It also summarizes our main empirical findings: (1) the characteristics of presidential tools, (2) the substantive patterns of their deployment, (3) the factors that shape the costs of using these tools, (4) the actual (observed) costs of using them, and (5) the potential for imperfect substitutability of these tools. Finally, it concludes with some reflections on the current state of the research on comparative presidentialism.


2021 ◽  
Vol 37 (1) ◽  
pp. 161-169
Author(s):  
Dominik Rozkrut ◽  
Olga Świerkot-Strużewska ◽  
Gemma Van Halderen

Never has there been a more exciting time to be an official statistician. The data revolution is responding to the demands of the CoVID-19 pandemic and a complex sustainable development agenda to improve how data is produced and used, to close data gaps to prevent discrimination, to build capacity and data literacy, to modernize data collection systems and to liberate data to promote transparency and accountability. But can all data be liberated in the production and communication of official statistics? This paper explores the UN Fundamental Principles of Official Statistics in the context of eight new and big data sources. The paper concludes each data source can be used for the production of official statistics in adherence with the Fundamental Principles and argues these data sources should be used if National Statistical Systems are to adhere to the first Fundamental Principle of compiling and making available official statistics that honor citizen’s entitlement to public information.


2018 ◽  
Vol 7 (12) ◽  
pp. 458 ◽  
Author(s):  
Peter Fischer ◽  
Seyed Majid Azimi ◽  
Robert Roschlaub ◽  
Thomas Krauß

The upraise of autonomous driving technologies asks for maps characterized bya broad range of features and quality parameters, in contrast to traditional navigation maps which in most cases are enriched graph-based models. This paper tackles several uncertainties within the domain of HD Maps. The authors give an overview about the current state in extracting road features from aerial imagery for creating HD maps, before shifting the focus of the paper towards remote sensing technology. Possible data sources and their relevant parameters are listed. A random forest classifier is used, showing how these data can deliver HD Maps on a country-scale, meeting specific quality parameters.


2017 ◽  
pp. 28-36
Author(s):  
О. Н. Osaulenko

The official statistics have importance role in the problems of national information security; being an integral part of the social information space, it faces security-specific risks immanent in any kind of information system. It is emphasized that information security in the official statistical has to encompass all the phases and all the participants of the statistical production process, from the producers at the phase of data processing and storage to user security at the phase of data dissemination. Issues of statistical data confidentiality are analyzed as a fundamental principle of international and European statistics. It is demonstrated that the documents sharing functions among those concerned with the national statistical system, their responsibilities for statistical confidentiality and procedures for access to various types of information need to be elaborated and approved at legislative level. Apart from this, the system of administrative, technical and organizational measures providing for physical and logical protection of confidential data, in order to prevent their disclosure, in parallel with organizing the controlled access to data for research purposes has to be built and introduced in the statistical practice The respective approaches used in the statistical system need to be harmonized and set in conformity with the global practice. Subject to detailed analysis is the issue of statistical secrecy, discussed as a broad concept dealing with the necessity to protect individual data of the population, individual data of companies and classified information, which access may undermine political and social interests. It is emphasized that the Law of Ukraine “On State Statistics” fails to provide a comprehensive response to the problems of defining classified information and its protection procedures. The relationship of internationally recognized principles of statistical activities and information security attributes is substantiated, especially from the global information quality perspective. The conclusion is made that the statistical service, when interacting with users, needs to orient on the commonly accepted criteria for statistical data quality assessment, formulated in official international documents that have to be adapted by the national official statistics through elaborating and introducing respective legal acts.


2020 ◽  
Vol 1 (1) ◽  
pp. 25-36
Author(s):  
Zulkifli Zulkifli ◽  
Muh. Syarif Hasyim ◽  
Hamiyuddin Hamiyuddin

The discussion in this research is terrorism from the perspective of Islamic criminal law (fiqih jinayah). The problem that becomes the focus of research is how terrorism is in the review of Islamic criminal law or jinnayah fiqh. Qualitative research, the source of which is library research, is the method used in research. There are two kinds of data sources in this research, namely primary and secondary data sources, while the data collection and analysis uses literature review research. The data were analyzed using the Islamic criminal law theory approach. So as a result of this research that acts of terrorism are not justified in Islamic teachings. The birth of this action is because the perpetrators have shallow thoughts or have very minimal thoughts and have political goals to harm themselves and others. They even consider this act as Jihad, even though in fact it is not a jihad but an act that brings fear to potential victims.


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