44,436 research outputs found

    Evaluation of Electronic Knowledge Repositories

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    Examining the Factors Influencing Continued Knowledge Contribution in Electronic Knowledge Repository

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    Electronic knowledge repositories facilitate knowledge discovery and reuse by providing computer-mediated repositories for users to codify their expertise. However, why individuals volunteer to help strangers in these electronic networks is not well understood. There is no apparent benefit for the contributor and free-riders have same access to the public good as everyone else. Based on previous research positing that the interaction created by network participants produces an online public good of knowledge, the purpose of this paper is to investigate individuals’ intention to continue sharing knowledge in electronic knowledge repository. Drawing from social cognitive theory, and cognitive evaluation theory, we propose a theoretical model employing environmental factors such as feedback, rewards, and communication, and individual motivations such as perceived knowledge self-efficacy and self-esteem to explain person’s behavior (continuance intention) to contribute knowledge in the electronic knowledge repositories

    Quality assurance for digital learning object repositories: issues for the metadata creation process

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    Metadata enables users to find the resources they require, therefore it is an important component of any digital learning object repository. Much work has already been done within the learning technology community to assure metadata quality, focused on the development of metadata standards, specifications and vocabularies and their implementation within repositories. The metadata creation process has thus far been largely overlooked. There has been an assumption that metadata creation will be straightforward and that where machines cannot generate metadata effectively, authors of learning materials will be the most appropriate metadata creators. However, repositories are reporting difficulties in obtaining good quality metadata from their contributors, and it is becoming apparent that the issue of metadata creation warrants attention. This paper surveys the growing body of evidence, including three UK-based case studies, scopes the issues surrounding human-generated metadata creation and identifies questions for further investigation. Collaborative creation of metadata by resource authors and metadata specialists, and the design of tools and processes, are emerging as key areas for deeper research. Research is also needed into how end users will search learning object repositories

    Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques

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    Nowadays an enormous quantity of heterogeneous and distributed information is stored in the digital University. Exploring online collections to find knowledge relevant to a user’s interests is a challenging work. The artificial intelligence and Semantic Web provide a common framework that allows knowledge to be shared and reused in an efficient way. In this work we propose a comprehensive approach for discovering E-learning objects in large digital collections based on analysis of recorded semantic metadata in those objects and the application of expert system technologies. We have used Case Based-Reasoning methodology to develop a prototype for supporting efficient retrieval knowledge from online repositories. We suggest a conceptual architecture for a semantic search engine. OntoUS is a collaborative effort that proposes a new form of interaction between users and digital libraries, where the latter are adapted to users and their surroundings

    Protocols for Scholarly Communication

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    CERN, the European Organization for Nuclear Research, has operated an institutional preprint repository for more than 10 years. The repository contains over 850,000 records of which more than 450,000 are full-text OA preprints, mostly in the field of particle physics, and it is integrated with the library's holdings of books, conference proceedings, journals and other grey literature. In order to encourage effective propagation and open access to scholarly material, CERN is implementing a range of innovative library services into its document repository: automatic keywording, reference extraction, collaborative management tools and bibliometric tools. Some of these services, such as user reviewing and automatic metadata extraction, could make up an interesting testbed for future publishing solutions and certainly provide an exciting environment for e-science possibilities. The future protocol for scientific communication should naturally guide authors towards OA publication and CERN wants to help reach a full open access publishing environment for the particle physics community and the related sciences in the next few years.Comment: 8 pages, to appear in Library and Information Systems in Astronomy

    The Convergence of Digital-Libraries and the Peer-Review Process

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    Pre-print repositories have seen a significant increase in use over the past fifteen years across multiple research domains. Researchers are beginning to develop applications capable of using these repositories to assist the scientific community above and beyond the pure dissemination of information. The contribution set forth by this paper emphasizes a deconstructed publication model in which the peer-review process is mediated by an OAI-PMH peer-review service. This peer-review service uses a social-network algorithm to determine potential reviewers for a submitted manuscript and for weighting the relative influence of each participating reviewer's evaluations. This paper also suggests a set of peer-review specific metadata tags that can accompany a pre-print's existing metadata record. The combinations of these contributions provide a unique repository-centric peer-review model that fits within the widely deployed OAI-PMH framework.Comment: Journal of Information Science [in press

    TARDis Project Final Report

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    The TARDis Project Final Report outlines the background, methodology and implementation of e-Prints Soton. It identifies outcomes of the project and its evolution to a centrally funded University research repository, embedded within the research landscape of the organization

    Estimating the potential impacts of open access to research findings

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    Advances in information and communication technologies are disrupting traditional models of scholarly publishing, radically changing our capacity to reproduce, distribute, control, and publish information. The key question is whether there are new opportunities and new models for scholarly publishing that would better serve researchers and better communicate and disseminate research findings. Identifying access and efficiency limitations under the subscription publishing model, this paper explores the potential impacts of enhanced access to research outputs using a modified Solow-Swan model, which introduces ‘accessibility’ and ‘efficiency’ parameters into calculating returns to R&D. Indicative impact ranges are presented for Government, Higher Education and Australian Research Council R&D expenditures. We conclude that there may be substantial benefits to be gained from more open access to research findings
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