1,720,956 research outputs found

    Reusing repository data: migration of data between repositories

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    Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014Invenio Interest Group PresentationsThe requirements for digital libraries are rapidly changing. Demands for new modern interfaces, better performance and good interoperability are perhaps some of the most important elements. It is important that information preserved in a digital library are stored using known standards to be prepared for the future of digital libraries and to preserve data for years to come. We explain the do’s and don’ts of data migration. How can you prepare your data to be transferred? How can you reuse data you thought was perished? What about big data? How can you prepare your data to be harvested from other repositories? We draw upon a recent example where Tind Technologies performed a migration of a digital library in Saudi-Arabia, where a digital library containing over 700,000 records was migrated to Invenio. We share insights about interoperability, and how to facilitate this type of process. This presentation aims to share our experiences with data migration and interoperability and the challenges coming along with the process.Carlsen, Fredrik Nygård (Tind Technologies, Norway)Hole, Kenneth (Tind Technologies, Norway

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Framework for Experimental Learning: Replicable Business Models in Rural Electrification

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    Lack of access to electricity is a significant hindrance to boost economic development, knowledge creation and health improvement in developing countries, specifically for people in rural areas. Even though governments play a key role in building infrastructure, they do not have the capacity or the financing to fulfill these needs. Thus entrepreneurs play a vital role by introducing solutions for electricity based on renewable energy. They are able to perceive the risk, willing to take it and able to develop customized functional solutions that also are based on sustainable business models. In this paper, the author does multiple case studies and the theoretical backbone consists of literature about business models, business model innovation, replication and literature describing the challenges in the context of bottom of the pyramid markets in developing countries. Based on the findings, the author has developed a conceptual framework for experimental learning, which clarifies the business model innovation process to enable replication in the context of rural electrification by community-level mini-utilities. Divided into two phases, the framework first describes the learning process and how the process of accumulating knowledge about the Arrow Core and developing rules are best conducted. It recommends a linear but iterative process, where the firm enters one village at the time and develops the needed sustainable local business model for each specific village. In doing so it accumulates knowledge both about the business model and the context, which it can then exploit to build a larger company through replication in the second phase. The contributions are twofold: the author first suggests a more dynamic approach than the existing business model innovation literature by developing a step-wise conceptual model. Second, this model has practical implications for entrepreneurs, describing the process that can be used in their own commercialization efforts

    Framework for Experimental Learning: Replicable Business Models in Rural Electrification

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    Lack of access to electricity is a significant hindrance to boost economic development, knowledge creation and health improvement in developing countries, specifically for people in rural areas. Even though governments play a key role in building infrastructure, they do not have the capacity or the financing to fulfill these needs. Thus entrepreneurs play a vital role by introducing solutions for electricity based on renewable energy. They are able to perceive the risk, willing to take it and able to develop customized functional solutions that also are based on sustainable business models. In this paper, the author does multiple case studies and the theoretical backbone consists of literature about business models, business model innovation, replication and literature describing the challenges in the context of bottom of the pyramid markets in developing countries. Based on the findings, the author has developed a conceptual framework for experimental learning, which clarifies the business model innovation process to enable replication in the context of rural electrification by community-level mini-utilities. Divided into two phases, the framework first describes the learning process and how the process of accumulating knowledge about the Arrow Core and developing rules are best conducted. It recommends a linear but iterative process, where the firm enters one village at the time and develops the needed sustainable local business model for each specific village. In doing so it accumulates knowledge both about the business model and the context, which it can then exploit to build a larger company through replication in the second phase. The contributions are twofold: the author first suggests a more dynamic approach than the existing business model innovation literature by developing a step-wise conceptual model. Second, this model has practical implications for entrepreneurs, describing the process that can be used in their own commercialization efforts

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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