Reports Of Conferences, Institutes, And Seminars

This quarter\u27s column offers coverage of multiple sessions from the 2016 Electronic Resources & Libraries (ER&L) Conference, held April 3–6, 2016, in Austin, Texas. Topics in serials acquisitions dominate the column, including reports on altmetrics, cost per use, demand-driven acquisitions, and scholarly communications and the use of subscriptions agents; ERMS, access, and knowledgebases are also featured

Sentiment analysis of health care tweets: review of the methods used.

BACKGROUND: Twitter is a microblogging service where users can send and read short 140-character messages called "tweets." There are several unstructured, free-text tweets relating to health care being shared on Twitter, which is becoming a popular area for health care research. Sentiment is a metric commonly used to investigate the positive or negative opinion within these messages. Exploring the methods used for sentiment analysis in Twitter health care research may allow us to better understand the options available for future research in this growing field. OBJECTIVE: The first objective of this study was to understand which tools would be available for sentiment analysis of Twitter health care research, by reviewing existing studies in this area and the methods they used. The second objective was to determine which method would work best in the health care settings, by analyzing how the methods were used to answer specific health care questions, their production, and how their accuracy was analyzed. METHODS: A review of the literature was conducted pertaining to Twitter and health care research, which used a quantitative method of sentiment analysis for the free-text messages (tweets). The study compared the types of tools used in each case and examined methods for tool production, tool training, and analysis of accuracy. RESULTS: A total of 12 papers studying the quantitative measurement of sentiment in the health care setting were found. More than half of these studies produced tools specifically for their research, 4 used open source tools available freely, and 2 used commercially available software. Moreover, 4 out of the 12 tools were trained using a smaller sample of the study's final data. The sentiment method was trained against, on an average, 0.45% (2816/627,024) of the total sample data. One of the 12 papers commented on the analysis of accuracy of the tool used. CONCLUSIONS: Multiple methods are used for sentiment analysis of tweets in the health care setting. These range from self-produced basic categorizations to more complex and expensive commercial software. The open source and commercial methods are developed on product reviews and generic social media messages. None of these methods have been extensively tested against a corpus of health care messages to check their accuracy. This study suggests that there is a need for an accurate and tested tool for sentiment analysis of tweets trained using a health care setting-specific corpus of manually annotated tweets first

Implementing centralised IT service management: drawing lessons from the public sector

[Abstract]: The IT service management model represents a paradigm shift for IT organisations as it deemphasizes the management of IT assets and focuses on the provision of quality end-to-end IT services. This paper presents part of an in-depth study that examines the experience of a government agency, Queensland Health, in the implementation of a centralised IT service management model based on the ITIL framework. The paper sheds light on the challenges and breakthroughs, distils a set of critical success factors and offers a learning opportunity for other organisations. Outsourcing some activities and tool requirements to vendors was seen as one contributor to success although ensuring effective technology transfer to in-house staff was also necessary. Another success factor was centralisation of IT services. Commitment of senior management was also crucial as was a recognition of the need for effective change management to transform the organisational culture to a service-oriented focus

Special Libraries, March 1968

Volume 59, Issue 3https://scholarworks.sjsu.edu/sla_sl_1968/1002/thumbnail.jp

Special Libraries, Winter 1986

Volume 77, Issue 1https://scholarworks.sjsu.edu/sla_sl_1986/1000/thumbnail.jp

Special Libraries, November 1980

Volume 71, Issue 11https://scholarworks.sjsu.edu/sla_sl_1980/1009/thumbnail.jp

The Emerging Scholarly Brain

It is now a commonplace observation that human society is becoming a coherent super-organism, and that the information infrastructure forms its emerging brain. Perhaps, as the underlying technologies are likely to become billions of times more powerful than those we have today, we could say that we are now building the lizard brain for the future organism.Comment: to appear in Future Professional Communication in Astronomy-II (FPCA-II) editors A. Heck and A. Accomazz

AI, Robotics, and the Future of Jobs

This report is the latest in a sustained effort throughout 2014 by the Pew Research Center's Internet Project to mark the 25th anniversary of the creation of the World Wide Web by Sir Tim Berners-Lee (The Web at 25).The report covers experts' views about advances in artificial intelligence (AI) and robotics, and their impact on jobs and employment

In Search of a New Model: Library Resource Sharing in China - A Comparative Study

This paper reviews the framework of library resource sharing (LRS) in China and examines, from a comparative perspective, cases of recent development, particularly in the 1990s and early 2000s. Highlights include: (1) historical review of LRS in the U.S. and China, particularly in the areas of print union catalogs and union lists, online bibliographic utilities, and interlibrary loan; (2) literature review of Chinese publications, and LRS issues and challenges in China; (3) Analysis of three LRS models to provide a contextual grasp of a paradigm shift taking place in China; and (4) comparative analysis of LRS objectives, structure, and governance, etc., in the U.S. and China. The study also underscores the imperative for building a national digital library system in China to gain a competitive edge in resource sharing and to support the country’s rapid social and economic growth. At this stage of development, the success of China Academic Library & Information System provides a convincing argument for a national digital library system with its methods of governing, financing, and development

Gender-Inclusive Library Workgroup Report

The Gender-Inclusive Workgroup explored how VCU Libraries can better serve trans and gender-nonconforming users and staff. The group’s recommendations cover library spaces, staff, systems, services, and culture. Key recommendations include highlighting existing all-gender restrooms; building more gender-inclusive restrooms; expanding availability of menstrual products and disposal bins; continuing support for name-of-use changes in library systems; minimizing display of legal name in library systems; offering ongoing staff training in gender-inclusive language and customer service; and encouraging staff to share pronouns. The workgroup also recommends pursuing a culture of shared learning and inclusive thinking, with a reminder that gender identity is one facet of multiple intersecting identities for people in the VCU community