1,720,957 research outputs found

    Kebijakan Data Sharing oleh Penerbitan jurnal ilmiah

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    Materi ini di sampaikan pada acara Kajian Publikasi Ilmiah PSPI Seri 11 x BRIN = Kebijakan Data Sharing oleh Penerbitan Jurnal Ilmiah: Kesiapan Ekosistem di Indonesia 14 Mei 202

    Inovasi Layanan Perpustakaan Khusus Dalam Ekosistem E-Research Dalam Mendukung Open Science: Studi Kasus Perpustakaan PDDI LIPI

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    Tujuan makalah ini adalah menjelaskan inovasi layanan perpustakaan yang mendukung terwujudnya perpustakaan khusus berbasis inklusi sosial yang menekankan pada faktor manfaat perpustakaan yang dapat dirasakan di tengah-tengah masyarakat. Penelitian dilakukan dengan menggunakan metode deskriptif dengan pendekatan studi literatur. Pengumpulan penelitian dilakukan melalui observasi, dan studi pustaka (literatur). Observasi dilakukan dengan cara mendata kegiatan layanan dan produk pengetahuan yang pernah dibuat oleh PDDI LIPI. Studi literatur dilakukan dengan cara menelaah refensi yang berhubungan dengan layanan dan pembuatan produk pengetahuan. Hasil telaah literatur kemudian dianalisis dan diinterprestasikan dalam bentuk hasil dan pembahasan. Hasil penelitian menunjukan bahwa idealnya perpustakaan PDDI dapat mempertahankan dan meningkatkan layanan yang pernah dilakukan sebelumnya, seperti kegiatan Co working Space dan pemanfatannya, mengadakan talkshow, diskusi publik, knowledge sharing, dan pengembangan produk layanan berbasis pengetahuan serta membuat inovasi layanan data penelitian sebagai salah satu terobosannya

    National Data Sharing Policy in the Era of Open Science: A Systematic Literature Review

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    Research data sharing activities provide many benefits to the research ecosystem. However, in the Indonesian context, there is a lack of policy in regulating research data sharing mechanisms which makes researchers reluctant to undertake the practice of data sharing. Research funders and research institutions play a critical role in developing data-sharing policies. Research related to the policy of research data sharing is important in order to design policies to encourage the practice of research data sharing. A systematic literature review was conducted to see how data-sharing policies were formulated and implemented in various research institutions. The data were taken from Scopus and Dimension indexers using controlled vocabulary. The roles of research institutions and funders as well as policy instruments were analyzed to see patterns that occur between the parties. We examine 23 articles containing data sharing policies. it was found that the funders have the greatest role in determining the design of the data sharing policy. Funders view that research data is an asset in research funded by public funding so that the benefits must be returned to the community. Research institutes play a role as a provider of research infrastructure that contributes to data creation. Meanwhile, researchers as research actors need to provide input in developing data sharing mechanisms and regulating data sensitivity aspects and legal aspects in research data sharing

    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

    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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