Catálogo de publicaciones - libros

This article reviews the new career and occupational opportunities for librarians and other information professionals as a result of dramatic and pervasive developments in IT technologies in the last several decades. In particular, a case is made for a new information counsellor position which would be analogous to financial counsellors but operating in the information arena. Traditional library and information positions are being very widely expanded by new challenges which every social and economic sector, both public and private, is experiencing as they confront the twenty first century’s rise in Google search engines, mobile devices like smart phones, and the spread of broadband and the Internet.

Today’s researchers have access to vast information, whether within the library or any place that provides access to the Internet, and frequently the access is free of charge. Such places can include school, home, office, restaurants or coffee houses. Access to information is available from smart and handheld devices such as Smartphones, as well. But now, more than ever a researcher must have a discerning sense of authoritative information. Information seeking has become a rapidly growing trend across society. And as technology continues to evolve, how we seek information and determine its authenticity will present challenges for teaching users how to remain information literate. Additionally, one cannot be information literate without the development of related skills such as critical thinking. Since the United States Department of Labor’s well-know SCANS report (Secretary’s Commission on Achieving Necessary Skills) published in 1991, other organizations have emphasized the need for information literate workers. Such organizations include the National Forum on Information Literacy and Project Information Literacy

Main ideas presented in the information literacy seminar held in Wuhan University was reviewed. Core thoughts of the group discussion was manifested by seven leading speakers. Primary conclusions deducted from the discussion are: information literacy brings more efficient organizations; data curation should be highlighted in information literacy; librarians shall undertake the duty of teaching information literacy; the related education needs reform especially the curriculum set; deductively test existing theories and inductively generate concepts are two orientations for future China information literacy research.

An overview of the origin, development, and current status of the iSchool movement—both the organization which began as the iSchool Caucus, which now leads the much larger iSchool Organization, as well as the profile of one particular iSchool—the School of Information Studies at Syracuse University, in Syracuse, New York. As the rate of change in who, how, when, and where information is being sought and produced is both evolving and accelerating, along with the need for reliable, high quality information, the demands on the information professions are both challenging and exciting. Today, the iSchool Organization is comprised of 55 leading iSchools, from 17 countries, spanning 4 continents, and is actively working with additional top-ranked Schools of Library and/or Information Science in multiple other universities and countries who are interested in joining. The iSchool at Syracuse, which was one of the original members of “Gang of Three” that conceived of a membership organization to promote the information profession, is presented with detail on programs, particularly their most recent focuses on social media, data science, and information entrepreneurship.

Data mining methods and technologies have been applied to different social media environments but seldom applied to narrative information based Q&A sites. This paper aimed to employ visual data mining techniques to address health care consumer terms use behavior in the Yahoo!Answers. Three months of data on the topic of diabetes in the health category of Yahoo!Answers were collected and analyzed. Terms from the collected data set were processed, validated, and classified. Both Multi-dimensional Scaling and Social Network Analysis visualization methods were employed to visualize the relationships of terms from related categories (‘Complication & Related Disease’ and ‘Medication’; ‘Complication & Related Disease’ and ‘Sign & Symptom’). Patterns and knowledge were revealed and discovered from the mapping of terms such as “acarbose might cause a side effect of hives”, “antidepressant may increase the risk of developing diabetes”, “there is a connection between imbalance and birthdefects”, etc. The results of this study can be of benefit to both health consumers and medical professionals.

The article examines the usage of the Europeana.eu website, a multi-lingual online collection of millions of digitized items from European museums, libraries, archives and multi-media collections. It concentrates on three aspects of use: (1) stickiness and site loyalty; (2) social media referrals; (3) that associated with virtual exhibitions. Three methods for obtaining the data are examined: Google analytics, ClickStream logs and http server logs. The analyses produced by Google Analytics are highlighted in the article.

Humans are explorers by nature. Almost all searches are exploratory to a certain extent. As a result of the subdivision of the information seeking domain, exploratory search has become a new research focus arousing extensive attention. This chapter introduces the concept of exploratory search and illustrates its basic theoretical foundations, clarifying its complex meaning from the aspects of the problem context and the search process. Four different methods of classifying search results are identified based on a survey of existing exploratory search systems, including hierarchical classification, faceted classification, dynamic clustering, and social classification. Their inherent characteristics and practical applications are reviewed in detail, and the visualization support for presenting the classified search results is explored in addition. The development trends of the exploratory search field are predicted according to the social nature of information seeking.

The contribution places biodiversity datasets in relation to other central elements of the modern scientific communication system and defines quantitative analyses of metadata of such datasets as belonging to the intersection of Scientometrics and Webometrics. The analyses show that rank distributions of social utility evidence, such as search events and retrieved and viewed dataset records over a given range of datasets follow power law characteristics. A variety of dataset usage index (DUI) metrics is exemplified and illustrated by dataset indicators from three large, medium and small US and Danish dataset providers observed over a one-year period and compared to recent developments. Metrics discussed are of absolute as well as relative nature and include popularity, social attractiveness, and usage and interest impact scores.

Complex network research literatures have increased rapidly over last decade, most remarkable in the past four years. This paper attempted to visualise the research outputs of complex network research in a global context for the purpose in knowledge discovery on the world research progress and quantitative analysing on current research publication trends. The scientometric methods and knowledge visualization technologies are employed with a focus on global production, main subject categories, core journals, the most productive countries, leading research institutes, publications’ most used keywords as well as the most cited papers, and the knowledge basement. The keywords cluster analysis is used to trace the hot topics from the research literatures in this field. Research outputs descriptors suggested that the research in this domain has mainly focused on the dynamics, model and systems for complex networks. All the publications have been concentrated in two journals such as and. The USA is the leading country in complex network research field since it has both the world research centres and most of the top scientists worldwide. The research trend in complex network research are involved in complex routing strategy, models complex networks social as well as scale free percolation efficiency. Complex networks, dynamics, model and small-world networks are highly used keywords in the literatures from the main scientific database.

In the six years since I first researched university research rankings and bibliometrics, much of the world suffered an economic downturn that has impacted research funding and open access journals, research institution repositories and self-published material on the web have opened up access to scholarly output and led to new terminology and output measurements. University rankings have expanded beyond the national end-user consumer market to a research area of global interest for scientometric scholars. Librarians supporting scholarly research have an obligation to understand the background, metrics, sources and the rankings to provide advice to their researchers and their institutions.

This chapter updates an article in Taiwan’s journal (Pagell 2009) based on a presentation at Concert (Pagell 2008). It includes a brief history of scholarly output as a measure of academic achievement. It focuses on the intersection of bibliometrics and university rankings by updating both the literature and the rankings themselves. Librarians should find it relevant and understandable.