1,720,970 research outputs found

    Open Science training and education: challenges and difficulties on the researchers' side and in public engagement

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    Open Science may become the next scientific revolution, but still lingers in a pre-paradigmatic phase, characterised by the lack of established definitions and domains. Certainly, Open Science requires a new vision of the way to produce and share scientific knowledge, as well as new skills. Therefore, education plays a crucial role in supporting this cultural change along the path of science. This is the basic principle inspiring the collection of essays published in this issue of JCOM, which deals with many subjects ranging from open access to the public engagement in scientific research, from open data to the social function of preprint servers for the physicians’ community. These are issues that go along with the targets of the FOSTER project (Facilitate Open Science Training for European Research) funded by the European Union, which has provided interesting food for thought in order to write this commentary

    La maternità nelle comunità online. Nuove pratiche di appropriazione e nuove forme di cittadinanza tecnoscientifica

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    The article explores the online communities composed by pregnant women or new-mothers. A lot of online communities have been analysed in order to assess patient empowerment, but the capacity and interest in spreading, taking over and discussing health information are less investigated. Therefore the paper aims to evaluate the dynamics in spreading and use of the knowledge in digital platforms. The main goal of this study is the comprehension of the new processes of knowledge production and appropriation, with the consequent redefinition of an innovative equilibrium between experts and non-experts

    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
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