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Analyzing these large datasets, referred to collectively as \u201cbig data,\u201d has become an integral component of research that guides experimentation-driven discovery and a new engine of discovery itself as it uncovers previously unknown connections through mining of existing data. To fully realize the potential of big data, biomedical researchers need access to high-performance-computing (HPC) resources. However, supporting on-premises infrastructure that keeps up with these consistently expanding research needs presents persistent financial and staffing challenges, even for well-resourced institutions. For other institutions, including primarily undergraduate institutions and minority serving institutions, that educate a large portion of the future workforce in the USA, this challenge presents an insurmountable barrier. Therefore, new approaches are needed to provide broad and equitable access to HPC resources to biomedical researchers and students who will advance biomedical research in the future.<\/jats:p>","DOI":"10.1093\/bib\/bbae478","type":"journal-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T06:05:37Z","timestamp":1728367537000},"source":"Crossref","is-referenced-by-count":1,"title":["NIGMS Sandbox: a learning platform toward democratizing cloud computing for biomedical research"],"prefix":"10.1093","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6134-9551","authenticated-orcid":false,"given":"Ming","family":"Lei","sequence":"first","affiliation":[{"name":"National Institute of General Medical Sciences, National Institutes of Health , 9000 Rockville Pike, Bethesda, Marylnd 20892,","place":["USA"]}]},{"given":"Lakshmi K","family":"Matukumalli","sequence":"additional","affiliation":[{"name":"National Institute of General Medical Sciences, National Institutes of Health , 9000 Rockville Pike, Bethesda, Marylnd 20892,","place":["USA"]}]},{"given":"Krishan","family":"Arora","sequence":"additional","affiliation":[{"name":"National Institute of General Medical Sciences, National Institutes of Health , 9000 Rockville Pike, Bethesda, Marylnd 20892,","place":["USA"]}]},{"given":"Nick","family":"Weber","sequence":"additional","affiliation":[{"name":"Center for Information Technology, National Institutes of Health , 9000 Rockville Pike, Bethesda, Marylnd 20892,","place":["USA"]}]},{"given":"Rachel","family":"Malashock","sequence":"additional","affiliation":[{"name":"Center for Information Technology, National Institutes of Health , 9000 Rockville Pike, Bethesda, Marylnd 20892,","place":["USA"]}]},{"given":"Fenglou","family":"Mao","sequence":"additional","affiliation":[{"name":"Office of Data Science Strategy, Office of Director; National Institutes of Health , 9000 Rockville Pike, Bethesda, Marylnd 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