Suchergebnisse

[full article and abstract in Lithuanian; abstract in English] Publishing industry statistics serves as a significant indicator of the nation's intellectual, cultural and economic achievements and is used not only for research but also for representative purposes. Today's changes within the publishing industry transform the way statistics data are collected, categorized and displayed as well as the criteria for their reliability. Statistics data of the publishing industry are collected by various institutions, publishers' associations or national libraries. In Lithuania, the principal institution for the national bibliography and publishing industry statistics is the National Library. The analysis of the present-day situation with collecting and processing publishing industry statistics shows that since the 30ies of the 20th century, there has been tight relation between the institution which collects and publishes publishing industry statistics and institutions for the official statistics. Book publishing data were published in the official publication Lietuvos statistikos metraštis ("The Chronicle of Lithuanian Statistics"), the first volume of which appeared in Kaunas in 1927. It must be noted that statistics industry data were published under the heading "Statistics of Intellectual Life". The publishing industry statistics draws on legal deposit copies delivered to the National Library following the procedure set by the Government. The legal deposit system is regulated by the present version of the Resolution of the Government of the Republic of Lithuania "On the Number of Legal Deposit Documents and Their Delivery to Libraries", obliging producers of public information to deliver a legal deposit copy to the National Library. From the point of view of a library, a producer of public information is a publisher; therefore, "Lithuanian Publishing Industry Statistics" prepared and published by the National Library shows the number of publishers operating in Lithuania (all producers of public information who delivered legal deposit copies to the National Library are considered publishers). When comparing the official statistics with indicators from the publishing industry statistics collected by the National Library, we observe that the data presented by the National Library show a fewer number of publishers (approximately by 10%). It must be noted that according to the National Library, the category of publishers includes all business companies and ancillary publishers, i.e. persons or organizations for which publishing is a subsidiary activity, e.g. academies, universities, research, political, religious, sports and other organizations as well as economic and commercial institutions which delivered legal deposit copies to the National Library. Absence of a universally comprehended and calculated statistical indicator for publishing industry and precise data of the print run leads to bias in derivative and summarized data. We must consider tendencies in modern publishing technologies, which might render it difficult or impossible to indicate print run, e.g. printing on demand, when books or brochures are printed by computer on somebody's demand or when publishing items are produced by using other modern means and there is no limited or finite number of print run. In such cases we ought to find ways how to calculate statistical data for publications produced by modern technological means and how to publish them. We must broaden our understanding of publishing industry statistics by shifting it towards publishers' statistics and covering all the data as required by the standard LST ISO 9707:2011 Information and documentation – Statistics on the production and distribution of books, newspapers, periodicals and electronic publications (identical to ISO 9707:2008). The standard presents recommendations on collecting statistical data about published books, newspapers, periodicals and electronic publications and focuses on the collection and analysis of publishing industry data. A systematic approach to collecting such statistical data would allow to objectively analyze Lithuania's publishing market, foresee upcoming trends and plan the publishing processes. The National Library, as a 21st century institution, is not only a contributor of statistical data but also producer of statistical reports; therefore, it should meet the requirements which pertain to a national statistical institution. Official statistics is subjected to legal regulation of the European Union. An objective has been set to build a European statistics system in order to present comparable statistical data on the European level; therefore, trustful and comparable statistical data are needed for planning and implementing such a system. The National Library, as a producer of official statistics, should persistently improve the quality of the statistical information that it prepares and processes in? preparing statistical data as well as take effort to make statistics client-oriented, precise, trustful, prompt, compatible, comparable, available and transparent. Numerous contemporary economic, as well as legal and technological, changes are no exception within the multifaceted sphere of the publishing industry. In order to achieve precise statistics of the national book industry and overall publishing industry, there must be close collaboration and mutual trust in delivering legal deposit copies as well as effort should be taken to find new ways to collect and distribute statistical data. Once publicly presented, statistical figures of the publishing trade become visible and universally accessible from the National Bibliography Data Bank and publications of the national bibliography and publishing statistics.

In this master work has been analyzed and evaluated situation of career management in the Department of Statistics in the paper. Fundamental problems of career system in the public sector were raised and possible solutions were offered. The first part describes theoretical aspects of the career management system: analyzes basic career concepts and a portfolio of career management's practices. The second part describes instrumentation of further practical research. The third part provides a detailed analysis of introduced, developed and planned career management tools in Statistical Department. The effectiveness of the tools is approved on the basis of empirical testing (research). Career management's system in the Department of Statistics is analyzed, provided solutions and recommendations.

In this master work has been analyzed and evaluated situation of career management in the Department of Statistics in the paper. Fundamental problems of career system in the public sector were raised and possible solutions were offered. The first part describes theoretical aspects of the career management system: analyzes basic career concepts and a portfolio of career management's practices. The second part describes instrumentation of further practical research. The third part provides a detailed analysis of introduced, developed and planned career management tools in Statistical Department. The effectiveness of the tools is approved on the basis of empirical testing (research). Career management's system in the Department of Statistics is analyzed, provided solutions and recommendations.

G.(Galva) Galvanauskas presented many suggestions about how to improve collection and processing of the statistical information regrding the public sector in the interwar Republic of Lithuania. He suggested that assemblers of the statistical information should have theoretical and practical background. G.(Galva) Galvanauskas was one of the initiators of establishing a training school for the civil servants in the interwar Lithuania.[.]

G.(Galva) Galvanauskas presented many suggestions about how to improve collection and processing of the statistical information regrding the public sector in the interwar Republic of Lithuania. He suggested that assemblers of the statistical information should have theoretical and practical background. G.(Galva) Galvanauskas was one of the initiators of establishing a training school for the civil servants in the interwar Lithuania.[.]

G.(Galva) Galvanauskas presented many suggestions about how to improve collection and processing of the statistical information regrding the public sector in the interwar Republic of Lithuania. He suggested that assemblers of the statistical information should have theoretical and practical background. G.(Galva) Galvanauskas was one of the initiators of establishing a training school for the civil servants in the interwar Lithuania.[.]

G.(Galva) Galvanauskas presented many suggestions about how to improve collection and processing of the statistical information regrding the public sector in the interwar Republic of Lithuania. He suggested that assemblers of the statistical information should have theoretical and practical background. G.(Galva) Galvanauskas was one of the initiators of establishing a training school for the civil servants in the interwar Lithuania.[.]

Even though the subject of military service of Jews in the Lithuanian army in the years 1918 to 1940 is not completely new in historiography, many aspects hitherto covered in academic literature remain relevant to this day. The statistics for Jewish soldiers in the interwar Lithuanian army are without doubt one of those aspects. That is why in this article the aim is not just to identify the scale of participation by the Lithuanian army's Jewish soldiers in the Lithuanian War of Liberation, but also to analyse statistical data relating to Jewish soldiers serving in the interwar Lithuanian army in peacetime.

Even though the subject of military service of Jews in the Lithuanian army in the years 1918 to 1940 is not completely new in historiography, many aspects hitherto covered in academic literature remain relevant to this day. The statistics for Jewish soldiers in the interwar Lithuanian army are without doubt one of those aspects. That is why in this article the aim is not just to identify the scale of participation by the Lithuanian army's Jewish soldiers in the Lithuanian War of Liberation, but also to analyse statistical data relating to Jewish soldiers serving in the interwar Lithuanian army in peacetime.

Research purpose. The study is focused on Covid-19 pandemic on the European Union. This study inves-tigates the current trends and trade-offs of Covid-19 pandemic and social inclusion trends in European countries. Design / Methodology / Approach. Methodology is based on conventional statistical index theory and statistics. The study investigates cases, deaths and key Covid-19 statistics. The research design combines key social inclusion statistics of the Eurostat to official Covid-19 statistics of the European Centre for Dis-ease Prevention and Control. Findings. The study reports basic trends of Covid-19 cases, deaths, deaths/cases and calculates these Covid-19 trends in relation to population in 28/30 European countries. This study reports trade-off -anal-yses of key social inclusion trends of European Union countries. Key indicators are linked to economic in-come, income distribution, poverty, gender issues and housing statistics. The 10 key indicators of social inclusion are analysed and reported with Covid-19 data. Statistical correlation analysis table is calculated with key European country indicators. The study reveals some relevant aspects of social inclusion policy of the European Union in relation to on-going Covid-19 crisis. Originality / Value / Practical implications. This paper demonstrates novel and exciting possibilities of transparent index calculation tools. Novel original results are provided by the authors. Value added and interesting results are delivered for European governments and business community. Results and findings of the study can be used in the planning of economic recovery policies in the European Union.

Research purpose. The study is focused on Covid-19 pandemic on the European Union. This study inves-tigates the current trends and trade-offs of Covid-19 pandemic and social inclusion trends in European countries. Design / Methodology / Approach. Methodology is based on conventional statistical index theory and statistics. The study investigates cases, deaths and key Covid-19 statistics. The research design combines key social inclusion statistics of the Eurostat to official Covid-19 statistics of the European Centre for Dis-ease Prevention and Control. Findings. The study reports basic trends of Covid-19 cases, deaths, deaths/cases and calculates these Covid-19 trends in relation to population in 28/30 European countries. This study reports trade-off -anal-yses of key social inclusion trends of European Union countries. Key indicators are linked to economic in-come, income distribution, poverty, gender issues and housing statistics. The 10 key indicators of social inclusion are analysed and reported with Covid-19 data. Statistical correlation analysis table is calculated with key European country indicators. The study reveals some relevant aspects of social inclusion policy of the European Union in relation to on-going Covid-19 crisis. Originality / Value / Practical implications. This paper demonstrates novel and exciting possibilities of transparent index calculation tools. Novel original results are provided by the authors. Value added and interesting results are delivered for European governments and business community. Results and findings of the study can be used in the planning of economic recovery policies in the European Union.

In order to warrant the quality of statistical information the Department of Statistics to the Government of the Republic of Lithuania follows Quality declaration of the European Statistical System and Code of practice for European statistics. The Division of statistics on industry, accordingly, in order to improve the quality of information it publishes may increase the number of primary statistical data controls and error eliminations. Thus, the primary aim of this thesis is to improve the quality of data (on the amount and changes of production and trade of major products) that is published by the Division of statistics on industry, i.e. to automate the search for the logical errors in the reports on the production of industry products at enterprises. A software application was developed for the elimination of logical errors. It was tested with the set of primary statistical data (the data before the secondary editing) and it provided as its result a list of companies that have made some kind of mistake. By means of logistic regression it was found that the appearance of a mistake is conditioned by the method of submission of the report (i.e., the uploading of an electronic form), by the level of aggregation of a product code (i.e., the codes that resolve into smaller codes) and by the measures when they are "-".

In order to warrant the quality of statistical information the Department of Statistics to the Government of the Republic of Lithuania follows Quality declaration of the European Statistical System and Code of practice for European statistics. The Division of statistics on industry, accordingly, in order to improve the quality of information it publishes may increase the number of primary statistical data controls and error eliminations. Thus, the primary aim of this thesis is to improve the quality of data (on the amount and changes of production and trade of major products) that is published by the Division of statistics on industry, i.e. to automate the search for the logical errors in the reports on the production of industry products at enterprises. A software application was developed for the elimination of logical errors. It was tested with the set of primary statistical data (the data before the secondary editing) and it provided as its result a list of companies that have made some kind of mistake. By means of logistic regression it was found that the appearance of a mistake is conditioned by the method of submission of the report (i.e., the uploading of an electronic form), by the level of aggregation of a product code (i.e., the codes that resolve into smaller codes) and by the measures when they are "-".

In order to warrant the quality of statistical information the Department of Statistics to the Government of the Republic of Lithuania follows Quality declaration of the European Statistical System and Code of practice for European statistics. The Division of statistics on industry, accordingly, in order to improve the quality of information it publishes may increase the number of primary statistical data controls and error eliminations. Thus, the primary aim of this thesis is to improve the quality of data (on the amount and changes of production and trade of major products) that is published by the Division of statistics on industry, i.e. to automate the search for the logical errors in the reports on the production of industry products at enterprises. A software application was developed for the elimination of logical errors. It was tested with the set of primary statistical data (the data before the secondary editing) and it provided as its result a list of companies that have made some kind of mistake. By means of logistic regression it was found that the appearance of a mistake is conditioned by the method of submission of the report (i.e., the uploading of an electronic form), by the level of aggregation of a product code (i.e., the codes that resolve into smaller codes) and by the measures when they are "-".

In order to warrant the quality of statistical information the Department of Statistics to the Government of the Republic of Lithuania follows Quality declaration of the European Statistical System and Code of practice for European statistics. The Division of statistics on industry, accordingly, in order to improve the quality of information it publishes may increase the number of primary statistical data controls and error eliminations. Thus, the primary aim of this thesis is to improve the quality of data (on the amount and changes of production and trade of major products) that is published by the Division of statistics on industry, i.e. to automate the search for the logical errors in the reports on the production of industry products at enterprises. A software application was developed for the elimination of logical errors. It was tested with the set of primary statistical data (the data before the secondary editing) and it provided as its result a list of companies that have made some kind of mistake. By means of logistic regression it was found that the appearance of a mistake is conditioned by the method of submission of the report (i.e., the uploading of an electronic form), by the level of aggregation of a product code (i.e., the codes that resolve into smaller codes) and by the measures when they are "-".