Subjects Reproducible Research , Open Science, Publishing Submitted: 15 October 2021 Accepted: 15 February 2022 Published: 20 May 2022 Published by GigaScience Press. Preprint submitted at: http://dx.doi.org/10.6084/m 9.figshare.19802782 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org / licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. GigaByte, 2022 DOI:10.6084/m9.figshare.19802782 Scott C Edmunds1* The coronavirus pandemic has underlined the importance of open, rapid dissemination of research; as well as increasing trust by making research output easier to access, interact with, and understand. GigaScience Press has partnered with River Valley to launch a new platform and publishing workflow that aims to address these issues using custom-built, end-to-end publishing technology. The system enables accepted manuscripts to be converted to online, PDF-ready articles within a day. The new journal, GigaByte, streamlines editorial effort by focusing on short-format data and software- centric articles. The publication process integrates with the GigaScience Database (GigaDB , RRID:SCR_004002) that serves as a broad-spectrum repository, displaying data and code snapshots associated with these publications. Communication further sped up by linking with preprints that are collected together in a Sciety group. Curators are on hand to help host supporting data, curate metadata as well as visualisations of the resultant data. By integrating visualisations and interactive content within the article, GigaByte transforms the article from the traditional static, descriptive journal article. Aiding the sharing of the outputs of data science research, by building upon the open code and integrating a reproducibility toolkit of third-party tools to showcase interactive and executable versions of the results. As well as providing the opportunity to more easily test code and provide certificates of executable computation. The presentation of this poster will offer a live demo showcasing examples of how this interactivity can be built upon the data, software and results. Bringing publications to life in this manner allows a rethink of the concept of “Version of Record” to focus more on archiving the underlying data, software, PIDs and factual entities, and away from the traditional unchanging proofed document that is mostly superfluous packaging. * Corresponding author. E- mail: scott@gigasciencejournal.com ABSTRACT 1/1 POSTER 1 GigaScience Press, BGI HK Tech Co Ltd., 26F Kings Wing Plaza 2, 1 On Kwan St, Shek Mun, Hong Kong Figure 1. Embedded video example demonstraUng the interacUve features of GigaByte journal, hVps://youtu.be/ltlZ4HdJ1qY Voir la version Française de cet article 查看本文的中文版本 This poster is a demo article demonstrating where interactive features can be integrated in GigaByte articles, with embedded content and tabs to allow annotation and switching between different (human) views and languages. With PIDs and metadata integrated into the XML (ORCIDs, CReDiT taxonomy, ROR, RRIDs, data and software DOIs, etc) for machine readers. INTRODUCTION Toggle between different views (Lens, dyslexic fonts, etc.) Export on-the-ﬂy and view content many diﬀerent ways… Executable Research Article view (interact with code underlying figures) hypothes.is annotation Rede$ining the Version of Record Through Bringing Publications to Life