{"references": ["Adam, David. 2020. \"Special Report: The Simulations Driving the World's Response to COVID-19.\" Nature 580 (7803): 316\u201318. doi.org/10.1038/d41586-020-01003-6.", "Akhmerov, Anton, Maria Cruz, Niels Drost, Cees Hof, Tomas Knapen, Mateusz Kuzak, Carlos Martinez-Ortiz, Yasemin Turkyilmaz-van der Velden, and Ben van Werkhoven. 2019. \"Raising the Profile of Research Software,\" August. https://doi.org/10.5281/ZENODO.3378572.", "Barton, C. Michael, Marina Alberti, Daniel Ames, Jo-An Atkinson, Jerad Bales, Edmund 5 Burke, Min Chen, et al. 2020. \"Call for Transparency of COVID-19 Models.\" Edited by Jennifer Sills. Science 368 (6490): 482.2-483. https://doi.org/10.1126/science.abb8637.", "Carmack, John. n.d. \"'The Imperial College Epidemic Simulation Code That I Helped a Little on Is Now Public:' / Twitter.\" Twitter. Accessed May 6, 2020. https://twitter.com/id_aa_carmack/status/1254872368763277313.", "Carver, Jeffrey C., Sandra Gesing, Daniel S. Katz, Karthik Ram, and Nicholas Weber. 2018. \"Conceptualization of a US Research Software Sustainability Institute (URSSI).\" Computing in Science & Engineering 20 (3): 4\u20139. https://doi.org/10.1109/MCSE.2018.03221924.", "Cl\u00e9ment-Fontaine, M\u00e9lanie, Roberto Di Cosmo, Bastien Guerry, Patrick MOREAU, and Fran\u00e7ois Pellegrini. 2019. \"Encouraging a Wider Usage of Software Derived from Research.\" Research Report. https://hal.archives-ouvertes.fr/hal-02545142.", "Jim\u00e9nez, Rafael C., Mateusz Kuzak, Monther Alhamdoosh, Michelle Barker, B\u00e9r\u00e9nice Batut, Mikael Borg, Salvador Capella-Gutierrez, et al. 2017. \"Four Simple Recommendations to Encourage Best Practices in Research Software.\" F1000Research 6 (June): 876. https://doi.org/10.12688/f1000research.11407.1.", "Krylov, Anna, Theresa L. Windus, Taylor Barnes, Eliseo Marin-Rimoldi, Jessica A. Nash, Benjamin Pritchard, Daniel G. A. Smith, et al. 2018. \"Perspective: Computational Chemistry Software and Its Advancement as Illustrated through Three Grand Challenge Cases for Molecular Science.\" The Journal of Chemical Physics 149 (18): 180901. https://doi.org/10.1063/1.5052551.", "NSF. 2017. \"Software Infrastructure for Sustained Innovation (SSE, SSI, S2I2): Software Elements, Frameworks and Institute Conceptualizations.\" 2017. https://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf17526.", "Research Data Alliance. 2020. \"RDA COVID-19 Guidelines and Recommendations.\" RDA. April 23, 2020. https://www.rd-alliance.org/group/rda-covid19-rda-covid19- omics-rda-covid19-epidemiology-rda-covid19-clinical-rda-covid19-0.", "Research Data Alliance. 2020. \"FAIR4RS WG.\" April 28, 2020. https://www.rd-alliance.org/groups/fair- 4-research-software-fair4rs-wg.", "Sheehan, Jeremy. 2016. \"Increasing Access to the Results of Federally Funded Science.\" Whitehouse.Gov. February 22, 2016. https://obamawhitehouse.archives.gov/blog/2016/02/22/increasing-accessresults- federally-funded-science.", "Smith, Arfon M., Daniel S. Katz, Kyle E. Niemeyer, and FORCE11 Software Citation Working Group. 2016. \"Software Citation Principles.\" PeerJ Computer Science 2: e86. https://doi.org/10.7717/peerj-cs.86.", "The HEP Software Foundation, Johannes Albrecht, Antonio Augusto Alves, Guilherme Amadio, Giuseppe Andronico, Nguyen Anh-Ky, Laurent Aphecetche, et al. 2019. \"A Roadmap for HEP Software and Computing R&D for the 2020s.\" Computing and Software for Big Science 3 (1): 7. doi.org/10.1007/s41781-018-0018-8.", "Wilkins-Diehr, Nancy, Michael Zentner, Marlon Pierce, Maytal Dahan, Katherine Lawrence, Linda Hayden, and Nayiri Mullinix. 2018. \"The Science Gateways Community Institute at Two Years.\" In Proceedings of the Practice and Experience on Advanced Research Computing, 1\u20138. Pittsburgh PA USA: ACM. https://doi.org/10.1145/3219104.3219142."]}

The Research Software Alliance (ReSA) welcomes this opportunity to inform approaches for ensuring broad public access to the peer-reviewed scholarly publications, data, and code that result from federally-funded scientific research. This submission focuses on how improving the recognition and value of research software can increase the access to unclassified published research, digital scientific data, and code supported by the US Government. ReSA is the international organization representing the research software community. ReSA’s vision is that research software be recognized and valued as a fundamental and vital component of research worldwide.