LAS：图书馆现代化的必由之路和必然选择

文章全面系统地论述了我国图书馆LAS的发展历史、重要作用 ,以及数据处理特点和对硬、软件的要求等问题 ,重点论述了我国图书馆LAS的发展现状、模式选择 ,以及在构建图书馆LAS时应注重的关键问题。     

浅议CALIS联合目录数据库书目质量控制

文章分析了CALIS联合目录数据库书目质量控制的现状；数据库存在的书目数据质量问题，提出了进一步提高书目数据质量的建议。     

网络数据内容分析研究

本阐述了网络数据的特点，介绍了内容分析法的类型，研究范围和内容分析法的一般研究过程，重点分析了内容分析法在网络数据分析方面的应用，以及论述了内容分析法在网络数据分析方面的难点。     

基于数据库联邦方式的多数据源集成检索系统

介绍了多数据源集成检索系统的产生背景和实现方式，分析了基于数据库联邦方式的多数据源集成检索系统的体系框架和异构问题，对国外的基于数据库联邦方式的多数据源集成检索系统进行了介绍和比较分析。     

Modellierung und kartographische Visualisierung von Geodaten mit XML-basierten Sprachen

Zusammenfassung Mit den XML-basierten Sprachen GML, XSLT und SVG lassen sich Geodaten nicht nur anwendungsorientiert modellieren, sondern auch karten?hnlich visualisieren. In dieser Fallstudie zeigen wir das, indem wir realistische Geodatenbest?nde der Landesvermessungs?mter zun?chst mit der Geography Markup Language (GML) nachmodellieren. So mit GML strukturierte Daten werden dann mit der Extensible Stylesheet Language for Transformation (XSLT) auf Elemente der Sprache Scalable Vector Graphics (SVG) abgebildet. Dabei wird der Prozess der kartografischen Visualisierung durch XSLT-Konstrukte modelliert und auch gleichzeitig implementiert. Als Ergebnis erhalten wir Grafiken, die den entsprechenden Karten der Landes?mter zumindest nicht un?hnlich sind.

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Using the XML-based languages GML, XSLT and SVG, we modeled German geo data and also visualized it in map-like graphics. This case study shows the feasibility of that approach, by modelling the data with the Geography Markup Language (GML). Then, the GML-structured data is mapped with the Extensible Stylesheet Language for Transformation (XSLT) to elements of the language Scalable Vector Graphics (SVG). The process of cartographical visualization is thus modelled through XSLT-constructs and at same time also implemented. The results are graphics, which share close ressemblance to the corresponding maps of the official offices.

CR Subject Classification I.3.3,I.3.5,I.6.5,I.7.2,J.2     

The Changing Research Data Landscape and the Experiences of Ethics Review Board Chairs: Implications for Library Practice and Partnerships

Academic libraries have to a large extent taken the lead in facilitating new approaches to research data management, but changes to the research data landscape have had an impact on numerous areas of academic work, including ethics review. Using interpretive phenomenological analysis of interviews with chairs of Canadian research ethics boards, this study explores how ethics review boards have experienced changes to data policy and related technologies in order to describe the ethical implications of new approaches to data management and to explore ways in which the library, ethics review boards, and other campus partners might harmonize efforts to support emerging data practices. While ethics review boards in Canada are keenly aware of open data policies, data publishing in practice is still nascent. There is uncertainty about the adoption of changing technologies for research and their impacts on privacy protection. Where responsibility lies for addressing these uncertainties is often unclear. Academic libraries and research ethics boards are well-suited to engage in mutual knowledge transfer and to integrate data management planning and ethics review processes. Institutional-level oversight that includes all campus departments impacted by changes to the research data landscape may facilitate improved communication and reduce role ambiguity.     

Information-seeking behavior of economics graduate students: If you buy it,will they come?

The information-seeking behavior of social science graduate students has been the subject of many studies, but none have concentrated only on the economics graduate student population and their unique needs. The purpose of this focus group study was to use group discussions to understand the actual online behavior of graduate economics students when conducting research. The results provide insight and information about the skills and characteristics of economics graduate students, their first steps in conducting research online, their use of publicly available and library resources, challenges to finding information, and resources used to overcome these challenges.     

Health science libraries in Sweden: new directions,expanding roles

Librarians in Sweden are facing huge challenges in meeting the demands of their organisations and users. This article looks at four key areas: coping with open science/open access initiatives; increasing demands from researchers for support doing systematic reviews; understanding user experiences in Swedish health science libraries; and the consequences of expanding roles for recruitment and continuing professional development. With regard to changing roles, there is an increasing shift from the generalist towards the expert role. The authors raise the issue as to how to prepare those new to the profession to the changing environment of health science libraries.     

Spatial Discovery of Linked Research Datasets and Documents at a Spatially Enabled Research Library

Current publishing practices in academia tend to result in datasets that are difficult to discover. This is because datasets are not well-integrated across academic domains and they are often not linked to the documents that reference them. For these reasons, discovering datasets across domains can be challenging; for example, discovering archeological observations and biological specimens using the same search is not widely supported, even if both datasets share a similar spatial extent, like Mesoamerica. It is also challenging to retrieve relevant documents that reference datasets; for example, retrieving a series of field reports that reference archeological observations is typically not supported. Our work develops an extensible method for: (1) geographically integrating collections across disciplinary repositories and (2) connecting datasets to related documents. We describe a collection of spatially-referenced researcher datasets, capturing their metadata elements and encoding them as linked open data. We then leverage existing library services to formalize links from datasets to documents. The system described in this work has been deployed, resulting in an experimental open data site for the UCSB campus. Results indicate that this system can be scaled-up with support from an institutional repository in the near future.     

An impulse to exploit: the behavioral turn in data-driven marketing

Industry advocates argue that by tailoring services and commercial solicitations to match media users’ personal interests, data-driven marketing benefits both consumers and businesses. This article shows, however, that advertisers and marketers who are taking up ideas and techniques from behavioral economics tell their clients a very different story about the aims and use of digital marketing and consumer surveillance. Listening in on this discourse demonstrates that some digital marketers conceptualize their own practices as forms of social control, appropriating concepts from behavioral economics to identify consumers’ cognitive and affective biases and target their vulnerabilities. Behavioral economics recognizes that economic decisions are not simply dictated by rational self-interest; rather, such choices depend on cognitive heuristics and habits, and can be manipulated through the design of “choice architecture.” This article discusses implications of the behavioral turn in data-driven marketing for critical advertising scholars, public advocates, and regulators.