The Library Big Data Research

Author(s):  
Shaochun Xu ◽  
Wencai Du ◽  
Chunning Wang ◽  
Dapeng Liu

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.

Web Services ◽  
2019 ◽  
pp. 2308-2321
Author(s):  
Shaochun Xu ◽  
Wencai Du ◽  
Chunning Wang ◽  
Dapeng Liu

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.


Author(s):  
Shaochun Xu ◽  
Wencai Du ◽  
Chunning Wang ◽  
Dapeng Liu

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.


2017 ◽  
Vol 5 (3) ◽  
pp. 77-88 ◽  
Author(s):  
Shaochun Xu ◽  
Wencai Du ◽  
Chunning Wang ◽  
Dapeng Liu

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.


2021 ◽  
Vol 96 ◽  
pp. 01011
Author(s):  
Lei Feng ◽  
Juxiu Huang ◽  
Jingxing Liao

The evaluation of public satisfaction with government quality work is an evaluation form to evaluate government performance from the perspective of the public. The evaluation process is open and transparent, and the results are relatively objective and fair. Taking the application practice in Nei Mongol as an example, in this paper, an index framework is designed and constructed, 12 leagues and cities in the whole region are covered by the investigation, and the actual effect of local quality work is explored and analyzed in combination with big data technology so as to provide enlightenment and reference for relevant research work in the quality field.


2018 ◽  
Vol 31 (5) ◽  
pp. 129-153
Author(s):  
Daniel C.S. Wilson

This article examines life assurance and the politics of ‘big data’ in mid-19th-century Britain. The datasets generated by life assurance companies were vast archives of information about human longevity. Actuaries distilled these archives into mortality tables – immensely valuable tools for predicting mortality and so pricing risk. The status of the mortality table was ambiguous, being both a public and a private object: often computed from company records they could also be extrapolated from public projects such as the census, or clerical records. Life assurance more generally straddled the line between private enterprise and collective endeavour, though its advocates stressed the public interest in its success. Reforming actuaries such as Thomas Rowe Edmonds wanted the data on which mortality tables were based to be made publicly available, but faced resistance. Such resistance undermined insurers’ claims to be scientific in spirit and hindered Edmonds’s personal quest for a law of mortality. Edmonds pushed instead for an open actuarial science alongside fellow travellers at the Statistical Society of London, which was populated by statisticians such as William Farr (whose subsequent work, it is argued, was influenced by Edmonds) as well as by radical mathematicians such as Charles Babbage. The article explores Babbage’s little-known foray into the world of insurance, both as a budding actuary but also as a fierce critic of the industry. These debates over the construction, ownership, and accessibility of insurance datasets show that concern about the politics of big data did not begin in the 21st century.


2009 ◽  
Vol 34 (3) ◽  
pp. 671-696 ◽  
Author(s):  
Anne Mesny

This paper attempts to clarify or to reposition some of the controversies generated by Burawoy’s defense of public sociology and by his vision of the mutually stimulating relationship between the different forms of sociology. Before arguing if, why, and how, sociology should or could be more ‘public’, it might be useful to reflect upon what it is we think we, as sociologists, know that ‘lay people’ do not. This paper thus explores the public sociology debate’s epistemological core, namely the issue of the relationship between sociologists’ and non-sociologists’ knowledge of the social world. Four positions regarding the status of sociologists’ knowledge versus lay people’s knowledge are explored: superiority (sociologists’ knowledge of the social world is more accurate, objective and reflexive than lay people’s knowledge, thanks to science’s methods and norms), homology (when they are made explicit, lay theories about the social world often parallel social scientists’ theories), complementarity (lay people’s and social scientists’ knowledge complement one another. The former’s local, embedded knowledge is essential to the latter’s general, disembedded knowledge), and circularity (sociologists’ knowledge continuously infuses commonsensical knowledge, and scientific knowledge about the social world is itself rooted in common sense knowledge. Each form of knowledge feeds the other). For each of these positions, implications are drawn regarding the terms, possibilities and conditions of a dialogue between sociologists and their publics, especially if we are to take the circularity thesis seriously. Conclusions point to the accountability we face towards the people we study, and to the idea that sociology is always performative, a point that has, to some extent, been obscured by Burawoy’s distinctions between professional, critical, policy and public sociologies.


2019 ◽  
Vol 3 (1) ◽  
pp. 27
Author(s):  
Ni Ketut Veri Kusumaningrum ◽  
I Wayan Rasna ◽  
Gde Artawan

This research aims to determine (1) the narrative structure of novel Nayla by Djenar Maesa Ayu, (2) the role of women figure in the novel Nayla by Djenar Maesa Ayu, (3) the struggle of women figure in the novel Nayla by Djenar Maesa Ayu. This research uses feminism study with qualitative research. The data was collected by using library research. The library method was used at finding out the data in the novel Nayla by Djenar Maesa Ayu and in other literature which supports this research. The analyzed data are narrative structure, the role of women figure and the struggle of women figure in the novel Nayla by Djenar Maesa Ayu. The data were analyzed through the stage of reduction, presentation and data collection. The subject of this research is the novel Nayla by Djenar Maesa Ayu, the object of this research is the narrative structure, the role of women figure and the struggle of women figure in the novel Nayla by Djenar Maesa Ayu. The result of this research refers to (1) The Narrative structure in the novel Nayla by Djenar Maesa Ayu was include figure, characterization, plot and background. (2) The role of women figure in the novel Nayla by Djenar Maesa Ayu was found in the social domain, domestic and public. (3) The struggle of women figure in the novel Nayla by Djenar Maesa Ayu was manifested by struggling in maintaining in the status as women, the struggle in maintaining the gender. The form of feminism was described in the novel Nayla as never surrender, not dependent to the parents, and behaves deviate. Novel Nayla to present the relationship of gender that leads to a superior. Novel Nayla as the main character show business to make a women who has the dignity of which is equivalent to the men. Based on the results of analysis and advice for women in order to improve the quality of the field of education, domestic, and the public so that gender equality can be achieved.


2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Yichu Wang

In the Internet age, computer technology and data analysis technology have been applied to the daily lives and work of the people. Big data technology has brought great influence to public management, providing efficient and convenient public services and improving the ability to cope with public opinion crises [1]. However, in the actual public management process, there are widespread problems such as single practice and poor data openness. Based on this, the article expounds the relevant content of big data, introduces the role of big data in public management, and studies the public management innovation in the age of big data.


The status of white collar jobs are gradually declining in India and the people are getting accustomed to just in jobs for their livelihood sustainability. The question of existence of such unfilled gaps between education and employment is still unanswered and now it has become a predicament. It is indeed a crucial period for the higher educational institutions of the nation to balance both enrollment and placement of the students amidst the prevailing competitions in the educational market. In the present days, educational sectors are becoming corporatized by institutionalizing the principles of corporate into the dictionary of academics with the argument of fostering quality in education. The management of the institutions also substantiates such kind of transition in this era of technology. Should the institutions become manufacturing companies of quality employees to make them fit into the job market, which demands excess of skills and competencies to go for a long run? The reasons for education and employment being at two poles have to be studied to develop a deeper comprehension on the grounds of such emerging crisis. This study will be fruitful to the educationalists, academic experts and educational reformers to frame certain remedial measures for rectification. To carry out this research work systematically the concept of Fuzzy Cognitive Linguistic Multimaps, which is an extension of fuzzy cognitive trimaps, is used to draw feasible concluding remarks and inferences devoid of ambiguity and uncertainty.


1988 ◽  
Vol 18 (1) ◽  
pp. 153-164 ◽  
Author(s):  
Noshir H. Antia

The project at Mandwa was designed to study the problems of health in rural India and the delivery of health care by the existing public and private health systems. The results demonstrate the important role of socioeconomic and political factors not only in vital areas such as nutrition, water supply, sanitation, and housing, but also in the delivery of health services. The private sector showed a predominantly curative and monetary orientation, while the public sector demonstrated a lack of accountability to the people it was designed to serve. Under these conditions, an attempt was made to test the possibility of training local women in self-help with a minimal supportive service. The results reveal that adequate knowledge and technology exist for most of the prevalent problems of health and illness in developing countries, and that semiliterate villagers have the capacity to use these effectively if they are provided in a simple manner. This experiment also demonstrates the opposition from local vested interests to any change of the status quo, even in the relatively noncontroversial field of health.


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