{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T23:59:29Z","timestamp":1762300769507,"version":"3.40.5"},"reference-count":33,"publisher":"SciPy","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Advances in technology for data workflows have increased the speed and scope of scientific discovery, however, scientific dialogue still uses outdated technology for communicating and sharing knowledge.\nThe widespread reliance on static <jats:abbrev alt=\"Portable Document Format\">PDF<\/jats:abbrev> formats for research papers starkly contrasts with the complex, data-driven and increasingly computational nature of modern science.\nThis gap, which is especially evident in the computational sciences, impedes the speed of research dissemination, reuse, and uptake.\nWe require new mediums to compose ideas and ways to share research findings iteratively, as early as possible and connected <jats:italic>directly<\/jats:italic> to software and data.\nIn this paper we discuss two tools for scientific authoring and publishing, <jats:abbrev alt=\"Markedly Structured Text\">MyST<\/jats:abbrev> Markdown and Curvenote, and illustrate examples of improving metadata, reimagining the reading experience, including computational content, and transforming publishing practices for individuals and societies through automation and continuous practices.\nWe focus on the unique aspects of the tools, which enable computational and interactive content, publishing and sharing continuously through automated checking and typesetting, and provide case studies from individuals to societies who have adopted these 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in Science Conference","location":"Tacoma, Washington"},"container-title":["Proceedings of the Python in Science Conference","Proceedings of the 23rd Python in Science Conference"],"original-title":[],"deposited":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T21:10:05Z","timestamp":1730841005000},"score":1,"resource":{"primary":{"URL":"https:\/\/doi.curvenote.com\/10.25080\/NKVC9349"}},"subtitle":["Using MyST Markdown and Curvenote to encourage continuous science practices"],"proceedings-subject":"Scientific Computing with Python","short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":33,"URL":"https:\/\/doi.org\/10.25080\/nkvc9349","relation":{},"ISSN":["2575-9752"],"issn-type":[{"type":"print","value":"2575-9752"}],"subject":[],"published":{"date-parts":[[2024,7,10]]}}}