Dissemination Of Statistical Data Research Articles

Public speaking skills of public relations at statistics of West Java Province

Background: Statistics Indonesia (BPS) is one of the government agencies that always engage with the community through, for example, censuses, surveys, and dissemination of statistical data. For that reason, the role of Public Relations at BPS is certainly needed. However, the organizational structure of Public Relations does not exist at BPS provincial and regency/city levels. The role of Public Relations at BPS provincial and regency/city levels is carried out by employees that are appointed based on policies through Public Relations Decree. Purpose: This study aims to examine public speaking skills possessed by the public relations staff of BPS Province and Regency/City of West Java. Methods: This study employed a descriptive quantitative approach. The sample used was a saturated sample of 79 people who were appointed as Public Relations of BPS Province and Regency/City of West Java in 2022. Results: The results showed that as many as 97.46 percent of Public Relations of BPS Province and Regency/City of West Java did not earn a degree from public relations background and only 37.97 percent had attended a Public Relations training. However, the public speaking skills of public relations staff of BPS Province and Regency/City of West Java were reported as “Good” category, both in general and in terms of gender, age, and education. Conclusion: This “Good” category result is argued to be caused by habituation to public speaking activities through meetings, committee activities, and training instructors. Implications: BPS Province and Regency/City of West Java should hold training activities, courses, and workshops on the topic of Public Relations routinely to improve the skills of Public Relations.

Suporte Básico de Vida no Local de Trabalho: estratégias e programas de empoderamento

Introduction The literature highlights the importance of training the basic life support, also in the occupational context, since although most organizations are not prepared, an average of 10,000 cardiorespiratory arrests occur per year in the workplace. From here emerges the need for companies to empower workers to respond quickly and effectively, at least until the arrival of differentiated help. Objectives Identify the strategies and programmes that, in an occupational context, enable workers to intervene in the face of a cardiorespiratory arrest. Methodology Systematic review of the literature according to the methodology of the Joanna Briggs Institute. As inclusion criteria, we defined studies available in full and free text, published from 2002 in Portuguese, English and German. The research was carried out during the month of November 2022 through the EbscoHost using the databases Cinahl with Full Text, Medline with Full Text, MedicLatina, Nursing & Allied Health Collection: Comprehensive and Cochrane Database of Systematic Reviews. The research equation was used: (programs or interventions or strategies or education) AND (workplace or work environment or work spaces or office or job) AND (basic life support or cardiopulmonary resuscitation or CPR) AND (occupational health and safety) NOT (healthcare or health care or hospital or health services or health facilities). Results Ten articles identified strategies and programs that enable workers to act in a cardiac arrest. The results attest to the importance of simulation, including using virtual and augmented reality, demonstration, role-playing, gamification, the use of mobile applications due to their accessibility and ease of use, theoretical face-to-face sessions and practices in groups and individuals with trained instructors ensuring feedback, offering a kit of materials with instructions and also involving community resources and all hierarchical levels of the companies. Options such as dissemination of statistical data, testimony from occupational health professionals and survivors can be useful as awareness-raisers. Conclusion It reinforces the need to implement training programs and strategies for workers that are effective and allow for improved outcomes in the event of cardiorespiratory arrests. It is believed that organizations that are committed to promoting a safe environment and empowering their workers, assuming this social responsibility, can have positive impacts for all stakeholders, for the company itself and for society in general, as they contribute to the resource management. Keywords: Community Participation; Cardiopulmonary resuscitation; Health strategies; Review.

Practices of Censorship of Statistical Works in Pre-reform Russia (late XVIII – first half of XIX centuries)

The object of the study is the history of the relationship between state power and statistical science in the Russian Empire in the second half of the XVIII – first half of the XIX centuries. The author examines the practices of censorship supervision over the publication of research papers in the field of state studies – an early descriptive direction of statistical science. The article analyzes the main stages of the development of legislation in the field of the civil press and highlights the key claims that the censorship authorities had against the authors of statistical works. Special attention is paid to the study of the social and political context in which the evolution of censorship restrictions on the dissemination of statistical data took place. It is noted that the tacit ban on the publication of any statistical information, which existed in the middle of the XVIII century, was replaced by the liberalization of censorship legislation at the beginning of the Alexander reign. In the future, with the formation of statistics-state studies as a political science, the attention of the state to the content of these works became more and more intense. The growth of conservative tendencies in domestic politics led to the fact that the government increasingly suppressed the free interpretation of statistical materials. The formation of the institution of departmental censorship in the mid-1820s gave rise to the problem of the plurality of censorship authorities, which became a serious barrier to the development of state studies. It is concluded that a broad interpretation of the norms of censorship statutes made it possible for interested ministries to delay the publication of statistical works for a long time, or not to allow them to be printed at all under the pretext of inaccuracy or secrecy of data.

Statistical Activities of IMF: A Factor of Global Financial Stabilization in the Post-Crisis Period

The areas of transformation of the statistical activities of the International Monetary Fund (IMF) in the post-crisis period are outlined, and their contribution in the global financial stabilization is assessed. The IMF results in detecting and eliminating information shortages by disseminating the standard methodology for statistical studies, unified principles for information collection, methods for computation and analysis of statistical indicators, harmonization and unification of the information content and dissemination methods are described.
 The evolution of the three-tier statistical standard of IMF (Special Data Dissemination Standard, General Data Dissemination System and Special Data Dissemination Standard Plus) is analyzed as the global reference for disseminating economic and financial data, which simplifies access of economic experts from all over the world to timely and complete statistical information, thus helping the international community implement macroeconomic policies.
 The article gives an assessment of IMF activities in collecting and disseminating statistical data about the areas where the system risk detected in time of the latest global crisis increased to the largest extent: studies devoted to cross-border and cross-sector relations, the market of bonds and derivatives, large banks and non-banking sector.
 The area of IMF statistical activities related with studies of trans-border financial relations is described. The initiatives on eliminating information shortage, required to trigger global regulatory reforms and implemented by IMF in collaboration with other international organizations are highlighted.
 The IMF strategy on data and statistics in the digital era, intended to improve the IMF statistical activities given the critical level of data volatility and the increasing demand for high quality data in conformity with the new priorities of supervision, is described.
 The areas of further improvements in the international cooperation and elimination of statistical data shortages detected by the crisis by use of innovative methods for collection, processing and dissemination of statistical data, to produce the sets of timely, reliable and comparable indicators for non-financial and financial sector, are outlined.

Augmenting Statistical Data Dissemination by Short Quantified Sentences of Natural Language

AbstractData from National Statistical Institutes is generally considered an important source of credible evidence for a variety of users. Summarization and dissemination via traditional methods is a convenient approach for providing this evidence. However, this is usually comprehensible only for users with a considerable level of statistical literacy. A promising alternative lies in augmenting the summarization linguistically. Less statistically literate users (e.g., domain experts and the general public), as well as disabled people can benefit from such a summarization. This article studies the potential of summaries expressed in short quantified sentences. Summaries including, for example, “most visits from remote countries are of a short duration” can be immediately understood by diverse users. Linguistic summaries are not intended to replace existing dissemination approaches, but can augment them by providing alternatives for the benefit of diverse users of official statistics. Linguistic summarization can be achieved via mathematical formalization of linguistic terms and relative quantifiers by fuzzy sets. To avoid summaries based on outliers or data with low coverage, a quality criterion is applied. The concept based on linguistic summaries is demonstrated on test interfaces, interpreting summaries from real municipal statistical data. The article identifies a number of further research opportunities, and demonstrates ways to explore those.

Statistical surveys — model approach

Experiences, both in the area of research and development tasks, as well as those from the project-implementation undertakings concerning IT support of statistical production, indicate that the use of developed mathematical modelling methods is too small in relation to potential possibilities. The aim of the research is to demonstrate that the effects of mathematical modelling in the field of statistical research not only can contribute to the improvement of data processing efficiency in official statistics, but also affect the quality of functional requirements for IT support for statistical surveys. This objective was achieved by discussing the general mathematical model of statistical research, with particular emphasis on the basic phases of statistical production (collection, processing, analysis and dissemination of statistical data), as well as by indicating optimization tasks and benefits resulting from problems that may occur in the process of IT support design. In order to confirm the usefulness of the presented approach, the concept of integration of the effects of mathematical modelling and the traditional design of IT support was presented in the form of a UML diagram.

The Effects of Electronic Publication on Social Science Researchers in Canada

This paper considers the effects of electronic publishing on social science researchers, specifically as it relates to statistical data dissemination. Data of interest to social scientists are increasingly available only in electronic formats and, in Canada at least, at inflated prices. Canadian federal government cost-recovery and revenue generation initiatives of the mid-1980s encouraged government agencies to treat information as a marketable commodity.

Statistical Data Dissemination and Its Confidentiality - A Perspective

Protection and privacy of data generated/gathered by Government agencies is an important issue in increasingly integrated world encompassing faster technology of access and dissemination. This paper will try to understand data dissemination policies of Governmental agencies in the western world with specific lessons that can be drawn by India from the other developed countries. Currently India faces major issues of data used by the end-user for purposes other than for which data was sought from the Government agencies as well as protection of data disseminated through websites of Government agencies. The misuse of the public data, which is been collected on the basis of mutual trust, may lead to serious crime to the man kind. The confidentiality of the microdata is a big issue. Hence there is a need to look into the matter in the international prospective and find out a solution to it in a fruitful way.Outline:In the paper I am looking into the four major points of concern, which are as under;1. I am looking into the Statistical System of India and Comparing it with other countries statistical system. I am well aware of the Indian Statistical system in which we collect the data on the sampling basis and then our Central statistical organization publishes the data. The data we publish is on the state level as well as the house hold level too. In india we collect Socio economic data as well as the Employment and unemployment data. The socioeconomic data we collect annually and Employment and unemployment data we collect once in two years. apart from this we collect some industrial data from industries once in five years and some price data etc and compile various price index. In the paper I will look into the matter in the International prospective and find out how it is done in other developed countries in an effective manner and what we can adopt from them to improve upon our statistical system.2. I will be formulating a directive to improve upon the statistical system that it may be self sustaining and hence the data quality do not get effected and statistician get proper recognition in the Govt. system.3. The other point is, in India since data is a public good and by legal resolution we can not charge data. We are only charging the material cost which is associated with the publication and supply of the data, i.e only the stationary charges as well as the media charges. more over we provide absolutely free of cost data too to some of the International , national and Govt. organization for that they need to sign an MOU(Memorandum of understanding with the Govt. of India), for these reasons we have a data dissemination policy. In the other countries also the Statistical system is working well and some of them are not dependent on the Govt. system for their sustainability in fact they are revenue generator along side. I have tried to impress upon the system difference and get some practical lessons implementable in 4. Data dissemination policy of the National Sample Survey Organization of India and the statistical System of India. In that respect The third thing is the illegal use of the data by the peoples and making money out of it, at times its just reciprocating of the same thing in a more user friendly way or at times without any value addition to it. I would try to find out the ways to improve upon the system in a way that this problem created by the competitors may be tackled automatically.

La deontologia di chi produce e detiene dati statistici: dalla possibilità alla certezza dell'accesso

The recently approved Codice di deontologia e buona condotta per il trattamento di dati personali per scopi statistici e scientifici greatly improves the Italian legislation on the privacy of personal data towards easier access to databases by researchers who intend to use them for non-commercial scientific purposes. However, the new legislation simply allows the researcher to access more and better data, it does not guarantee that the institutions that collect and posses these databases will share them with the scientists. To this end, we propose the introduction of a legal obligation - at least for public institutions - to share with researchers - at least those employed by universities - all statistical data that might be requested for non-commercial scientific studies. In this article, we document our own personal experience of requesting data from public administrations, showing how they are often reluctant, if not openly refuse, to invest resources in the dissemination of basic statistical information for research purposes. Not only would the legal obligation we propose allow these institutions to devote specific resources for the dissemination of statistical data, but it would also protect them from political pressure.

Integration of geography and statistics

The rapid development in mapping technologies has visibly upgraded the power of statistical analyses and their dissemination. Focused on spatial dimension and using diverse remote sensing methods, geographic information systems (GIS) make the integration of statistics borderless and statistical analysis more value-added, permitting the evaluation of statistical data across traditional subject-matter fields. Management of statistical offices is increasingly aware that the integration of socio-economic and geographical information, when combined with GIS, assists in decision-making across subject-matter fields affecting education, health, environmental protection, municipal services, economic development and location of essential infrastructure. Internet and Intranet accelerate users’ access to these systems and transparency is a key word for any geographically related information. In addition to these strong points, however, many challenges still remain to be explored by national and international statistical agencies to make GIS applications efficient and safe. The Statistical Division of the United Nations Economic Commission for Europe (UN/ECE) is conducting a region-wide transfer of know-how on the use of mapping technologies for the collection, production and dissemination of statistical data. As well as regular meetings in this field, the Statistical Division is organising the international work on the development-related methodological materials and guidelines. All activities are undertaken in close cooperation with Eurostat, OECD, IMF, UN Statistics Division and other international organisations involved as a part of the programme of work of the Conference of European Statisticians. The aim of this paper is to report about the major objectives and activities going on in this field and to draw attention to some national and international projects on the use of mapping technologies for statistical purposes.

STATview, new ways for the dissemination of statistical data

STATview, new ways for the dissemination of statistical data

Statistical data dissemination: The experience of the United Nations Economic Commission for Latin America and the Caribbean

This paper examines the United Nations Economic Commission for Latin America and the Caribbean's (ECLAC) statistical data collection, compilation, and dissemination experience. A descriptive introduction to the Caribbean data environment and its economic, social, technological, and political backdrops is provided. The problem of collecting comparable statistics is examined in terms of goals and constraints. An attempt to modernize the dissemination of statistics on the Caribbean through ECLAC's Selected Statistical Indicators in two formats is presented as an example, and the architecture of the system is examined and the versatility of its output is evaluated. Looking to the future, the paper explores two future data presentation formats that will result in a more comprehensive and efficient data delivery. The discussion of publications is really one on database design, construction, maintenance, and access. This being the case, the paper addresses the questions of cost recovery, information delivery/access cost, and user interface. The paper acknowledges the continuing necessity to produce improved hard copy, but views hard copy as the future low end of the dissemination process.

Geographical information systems for the analysis, presentation and dissemination of statistical data – the Swiss experience

Geographical information systems for the analysis, presentation and dissemination of statistical data – the Swiss experience

Towards a new statistical data dissemination policy

The Swiss Federal Statistical Office developed and adopted a new statistical data dissemination policy. It deals with three essential components: The categories of users, the information needs to be met and the possible ways of disseminating data. On the basis of their analysis, concrete measures were defined which allow to improve statistical data dissemination. Among the various methods of dissemination, priority is given to publications which appear in a new light, and to the creation of a modern data-processing infrastructure based on data banks.