939 research outputs found

    Information Outlook, October 2006

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    Volume 10, Issue 10https://scholarworks.sjsu.edu/sla_io_2006/1009/thumbnail.jp

    No Passport Needed: Border Crossings in the Academic Library

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    For most of their development as disciplines, the social sciences were fragmented, often contested subjects in academia. Their fields of concern – humanity, society, and human relationships with the environment – placed them in both the humanities and natural sciences camps of the academic world. Indeed, specializations in the broader field of the social sciences did not occur until the Twentieth century, causing a splinter of subject areas that refused to have anything to do with one another. However, this era of retrenchment has ended, and the traditional boundaries between the social sciences has once again become indistinct. But there is one concern that all social sciences share: the need for cohesive and manageable information. How do librarians accomplish such a feat when the metaphorical sand is constantly shifting beneath their feet? Emerging technologies such as Web 2.0, social networking software, social tagging, and wikis allow librarians and data gatherers to manage the growing body of knowledge and data while also reaching an ever-changing and increasingly technologically savvy clientele. By using these emerging technologies, libraries can create “one-stop shops” that allow scholars and students to acquire and deposit information related to the social sciences as well as communicate with each other to further global scholarship

    A Kaleidoscope of Digital American Literature

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    The word kaleidoscope comes from a Greek phrase meaning to view a beautiful form, and this report makes the leap of faith that all scholarship is beautiful (Ayers 2005b). This review is divided into three major sections. Part I offers a sampling of the types of digital resources currently available or under development in support of American literature and identifies the prevailing concerns of specialists in the field as expressed during interviews conducted between July 2004 and May 2005. Part two of the report consolidates the results of these interviews with an exploration of resources currently available to illustrate, on the one hand, a kaleidoscope of differing attitudes and assessments, and, on the other, an underlying design that gives shape to the parts. Part three examines six categories of digital work in progress: (1) quality-controlled subject gateways, (2) author studies, (3) public domain e-book collections and alternative publishing models, (4) proprietary reference resources and full-text primary source collections, (5) collections by design, and (6) teaching applications. This survey is informed by a selective review of the recent literature, focusing especially on contributions from scholars that have appeared in discipline-based journals

    Analysis of current middleware used in peer-to-peer and grid implementations for enhancement by catallactic mechanisms

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    This deliverable describes the work done in task 3.1, Middleware analysis: Analysis of current middleware used in peer-to-peer and grid implementations for enhancement by catallactic mechanisms from work package 3, Middleware Implementation. The document is divided in four parts: The introduction with application scenarios and middleware requirements, Catnets middleware architecture, evaluation of existing middleware toolkits, and conclusions. -- Die Arbeit definiert Anforderungen an Grid und Peer-to-Peer Middleware Architekturen und analysiert diese auf ihre Eignung fĂĽr die prototypische Umsetzung der Katallaxie. Eine Middleware-Architektur fĂĽr die Umsetzung der Katallaxie in Application Layer Netzwerken wird vorgestellt.Grid Computing

    Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier

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    As universities recognize the inherent value in the data they collect and hold, they encounter unforeseen challenges in stewarding those data in ways that balance accountability, transparency, and protection of privacy, academic freedom, and intellectual property. Two parallel developments in academic data collection are converging: (1) open access requirements, whereby researchers must provide access to their data as a condition of obtaining grant funding or publishing results in journals; and (2) the vast accumulation of 'grey data' about individuals in their daily activities of research, teaching, learning, services, and administration. The boundaries between research and grey data are blurring, making it more difficult to assess the risks and responsibilities associated with any data collection. Many sets of data, both research and grey, fall outside privacy regulations such as HIPAA, FERPA, and PII. Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters. Commercial entities are besieging universities with requests for access to data or for partnerships to mine them. The privacy frontier facing research universities spans open access practices, uses and misuses of data, public records requests, cyber risk, and curating data for privacy protection. This paper explores the competing values inherent in data stewardship and makes recommendations for practice, drawing on the pioneering work of the University of California in privacy and information security, data governance, and cyber risk.Comment: Final published version, Sept 30, 201

    Proof-of-Concept Application - Annual Report Year 1

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    In this document the Cat-COVITE Application for use in the CATNETS Project is introduced and motivated. Furthermore an introduction to the catallactic middleware and Web Services Agreement (WS-Agreement) concepts is given as a basis for the future work. Requirements for the application of Cat-COVITE with in catallactic systems are analysed. Finally the integration of the Cat-COVITE application and the catallactic middleware is described. --Grid Computing

    Grid-based semantic integration of heterogeneous data resources : implementation on a HealthGrid

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    The semantic integration of geographically distributed and heterogeneous data resources still remains a key challenge in Grid infrastructures. Today's mainstream Grid technologies hold the promise to meet this challenge in a systematic manner, making data applications more scalable and manageable. The thesis conducts a thorough investigation of the problem, the state of the art, and the related technologies, and proposes an Architecture for Semantic Integration of Data Sources (ASIDS) addressing the semantic heterogeneity issue. It defines a simple mechanism for the interoperability of heterogeneous data sources in order to extract or discover information regardless of their different semantics. The constituent technologies of this architecture include Globus Toolkit (GT4) and OGSA-DAI (Open Grid Service Architecture Data Integration and Access) alongside other web services technologies such as XML (Extensive Markup Language). To show this, the ASIDS architecture was implemented and tested in a realistic setting by building an exemplar application prototype on a HealthGrid (pilot implementation). The study followed an empirical research methodology and was informed by extensive literature surveys and a critical analysis of the relevant technologies and their synergies. The two literature reviews, together with the analysis of the technology background, have provided a good overview of the current Grid and HealthGrid landscape, produced some valuable taxonomies, explored new paths by integrating technologies, and more importantly illuminated the problem and guided the research process towards a promising solution. Yet the primary contribution of this research is an approach that uses contemporary Grid technologies for integrating heterogeneous data resources that have semantically different. data fields (attributes). It has been practically demonstrated (using a prototype HealthGrid) that discovery in semantically integrated distributed data sources can be feasible by using mainstream Grid technologies, which have been shown to have some Significant advantages over non-Grid based approaches.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
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