David C. Klonoff, Juan Espinoza, Julia K. Mader, Lutz Heinemann, Claudio Cobelli, David Kerr, Boris Kovatchev, Bijan Najafi, Priya Prahalad, Yaguang Zheng, Mandy M. Shao, Agatha F. Scheideman, Ashley Y. DuNova, Michael Kohn, Guillermo E. Umpierrez, Tien Yin Wong, Aiman Abdel Malek, Michael S. D. Agus, David T. Ahn, Rawan AlSaad, MOHAMMED AL-SOFIANI, David Armstrong, Mark A. Arnold, Yong Mong Bee, B. Wayne Bequette, Riccardo Bellazzi, Eda Cengiz, J. Geoffrey Chase, Haipeng Chen, Jake Y. Chen, Simon Lebech Cichosz, Ali Çınar, Mark A. Clements, Kelly L. Close, Jorge Cuadros, Ivan Contreras, Gora Datta, Ketan Dhatariya, Francis J. Doyle, Andjela Drincic, Andrea Facchinetti, G. Alexander Fleming, Joshua Foreman, Monica A. L. Gabbay, Ricardo Gutiérrez‐Osuna, Elizabeth Healey, Thanh D. Hoang, Peter G. Jacobs, Bernhard Kulzer, Jeff La Belle, Aaron Lee, Cecilia S. Lee, Wei-An Lee, Dorian Liepmann, David Maahs, Nestoras Mathioudakis, Sultan Ayoub Meo, Ahmed A. Metwally, Shivani Misra, Viswanathan Mohan, Sun-Joon Moon, Helge Raeder, Connie Rhee, Eun-Jung Rhee, David Scheinker, Viral N. Shah, Bin Sheng, Michael P. Snyder, Koji Sode, Elias K. Spanakis, Jannet Svensson, Nitin Vaswani, Maryam Vareth, Josep Vehı́, Amisha Wallia, Kayo Waki, Tao Wang, Ebonie Williams, Ruth Wolf, Jenise C. Wong, Sewagegn Yeshiwas, Mihail Zilbermint, Shahid N. Shah
Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. In this article, we focus on this practice, which is fully aligned with the NIH's Gold Standard Science (GSS) program as well as FAIR (findable, accessible, interoperable, reusable) and TRUST (transparency, responsibility, user focus, sustainability, technology) principles. Gold Standard Science supports open science by emphasizing transparency, reproducibility, and the use of best practices that enable others to verify and extend research. Pairing a research article's cited data snapshot with a versioned, environment-specific code release, deposited in a companion code repository, ensures that, upon submission to a medical journal, readers and reviewers can directly verify results. An executable and updatable companion code repository complements, rather than replaces, established research data repositories. When code underlying medical research results is made openly available, then other scientists can inspect, run, and validate analyses. These activities enhance reproducibility, which is a core aim of GSS. Shared code also facilitates collaborative innovation by allowing researchers to extend the utility of the code to new datasets and applications. For researchers, code sharing can increase visibility, credibility, and citation impact. Demonstrating transparency through shared executable and updatable code builds trust with journal readers, peer reviewers, funders, and peers. Shared code in an open access repository signals adherence to high standards of scientific integrity and attracts opportunities for collaboration. A researcher who shares code receives recognition as a leader in reproducible, trustworthy research consistent with NIH's GSS principles.