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Author: Worthington, Simon × End date: 2024 × Start date: 2020 × Version: publishedVersion × Subject: Open Access ×

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Now showing 1 - 3 of 3
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    Baroque AI
    (Zenodo, 2023) Worthington, Simon; Blümel, Ina
    Publication prototype: A computational publishing and AI assisted writing course unit with students of the Open Knowledge class – at Hochschule Hannover with the Open Science Lab, TIB. The prototype publication exercise involves creating a fictional ‘exhibition catalogue’ drawing on Wikidata based cataloguing of seventeenth century painting deposited by the Bavarian State Painting Collections. The prototype demostrates how computational publishing can be used to bring together different distributed linked open data (LOD) sources. Additionally AI tools are used for assisted essay writing. Then both are encapsulated in a multi-format computational publication — allowing for asynchronous collaborative working. Distributed LOD sources include: Wikidata/base, Nextcloud, Thoth, Semantic Kompakkt, and TIB AV Portal. AI tools used for essay writing are — OpenAI and Perplexity. Eleven students completed the class unit which was carried out over March to April 2023. An open access OER guide to running the class, a template publication for use in the class are online on GitHub and designed for OER reuse. Full class information and resources are on Wikiversity. The open source software used is brought together in the ADA Pipeline.
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    X-Sprint: Climate and Migration - 100% Open Research for Climate Change
    (Meyrin : CERN, 2020-06-13) Worthington, Simon
    X-Sprint: Climate and migration - Workshop - Infrastructure for the Year to come Summer School 2020 #OCK @OCKProject - 10 June 2020. From the Open Climate Knowledge project. https://github.com/OCKProject
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    A tale of two 'opens': intersections between Free and Open Source Software and Open Scholarship
    (Charlottesville, VA : Center for Open Science, 2020) Tennant, Jonathan P.; Agrawal, Ritwik; Baždarić, Ksenija; Brassard, David; Crick, Tom; Dunleavy, Daniel J.; Evans, Thomas Rhys; Gardner, Nicholas; Gonzalez-Marquez, Monica; Graziotin, Daniel; Greshake Tzovaras, Bastian; Gunnarson, Daniel; Havemann, Johanna; Hosseini, Mohammad; Katz, Daniel S.; Knöchelmann, Marcel; Lahti, Leo; Madan, Christopher R.; Manghi, Paolo; Marocchino, Alberto; Masuzzo, Paola; Murray-Rust, Peter; Narayanaswamy, Sanjay; Nilsonne, Gustav; Pacheco-Mendoza, Josmel; Penders, Bart; Pourret, Olivier; Rera, Michael; Samuel, John; Steiner, Tobias; Stojanovski, Jadranka; Uribe Tirado, Alejandro; Vos, Rutger; Worthington, Simon; Yarkoni, Tal
    There is no clear-cut boundary between Free and Open Source Software and Open Scholarship, and the histories, practices, and fundamental principles between the two remain complex. In this study, we critically appraise the intersections and differences between the two movements. Based on our thematic comparison here, we conclude several key things. First, there is substantial scope for new communities of practice to form within scholarly communities that place sharing and collaboration/open participation at their focus. Second, Both the principles and practices of FOSS can be more deeply ingrained within scholarship, asserting a balance between pragmatism and social ideology. Third, at the present, Open Scholarship risks being subverted and compromised by commercial players. Fourth, the shift and acceleration towards a system of Open Scholarship will be greatly enhanced by a concurrent shift in recognising a broader range of practices and outputs beyond traditional peer review and research articles. In order to achieve this, we propose the formulation of a new type of institutional mandate. We believe that there is substantial need for research funders to invest in sustainable open scholarly infrastructure, and the communities that support them, to avoid the capture and enclosure of key research services that would prevent optimal researcher behaviours. Such a shift could ultimately lead to a healthier scientific culture, and a system where competition is replaced by collaboration, resources (including time and people) are shared and acknowledged more efficiently, and the research becomes inherently more rigorous, verified, and reproducible.