{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T23:01:36Z","timestamp":1789772496400,"version":"4.0.1"},"reference-count":11,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T00:00:00Z","timestamp":1715644800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T00:00:00Z","timestamp":1715644800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["npj Microgravity"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The increasing accessibility of commercial and private space travel necessitates a profound understanding of its impact on human health. The NASA Open Science Data Repository (OSDR) provides transparent and FAIR access to biological studies, notably the SpaceX Inspiration4 (I4) mission, which amassed extensive data from civilian astronauts. This dataset encompasses omics and clinical assays, facilitating comprehensive research on space-induced biological responses. These data allow for multi-modal, longitudinal assessments, bridging the gap between human and model organism studies. Crucially, community-driven data standards established by NASA\u2019s OSDR Analysis Working Groups empower artificial intelligence and machine learning to glean invaluable insights, guiding future mission planning and health risk mitigation. This article presents a concise guide to access and analyze I4 data in OSDR, including programmatic access through GLOpenAPI. This pioneering effort establishes a precedent for post-mission health monitoring programs within space agencies, propelling research in the burgeoning field of commercial space travel\u2019s impact on human physiology.<\/jats:p>","DOI":"10.1038\/s41526-024-00393-5","type":"journal-article","created":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T08:02:02Z","timestamp":1715673722000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Inspiration4 data access through the NASA Open Science Data Repository"],"prefix":"10.1038","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9393-0861","authenticated-orcid":false,"given":"Lauren M.","family":"Sanders","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kirill A.","family":"Grigorev","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0654-5661","authenticated-orcid":false,"given":"Ryan T.","family":"Scott","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda M.","family":"Saravia-Butler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1460-6647","authenticated-orcid":false,"given":"San-huei Lai","family":"Polo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1380-8012","authenticated-orcid":false,"given":"Rachel","family":"Gilbert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2866-8294","authenticated-orcid":false,"given":"Eliah G.","family":"Overbey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8733-9925","authenticated-orcid":false,"given":"JangKeun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1850-1642","authenticated-orcid":false,"given":"Christopher E.","family":"Mason","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8542-2389","authenticated-orcid":false,"given":"Sylvain V.","family":"Costes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,14]]},"reference":[{"key":"393_CR1","doi-asserted-by":"publisher","first-page":"D1515","DOI":"10.1093\/nar\/gkaa887","volume":"49","author":"DC Berrios","year":"2021","unstructured":"Berrios, D. C., Galazka, J., Grigorev, K., Gebre, S. & Costes, S. V. NASA GeneLab: interfaces for the exploration of space omics data. Nucleic Acids Res. 49, D1515\u2013D1522 (2021).","journal-title":"Nucleic Acids Res."},{"key":"393_CR2","doi-asserted-by":"publisher","first-page":"108441","DOI":"10.1016\/j.celrep.2020.108441","volume":"33","author":"RT Scott","year":"2020","unstructured":"Scott, R. T. et al. Advancing the integration of biosciences data sharing to further enable space exploration. Cell Rep. 33, 108441 (2020).","journal-title":"Cell Rep."},{"key":"393_CR3","doi-asserted-by":"publisher","first-page":"1753","DOI":"10.1093\/bioinformatics\/bty884","volume":"35","author":"S Ray","year":"2019","unstructured":"Ray, S. et al. GeneLab: Omics database for spaceflight experiments. Bioinformatics 35, 1753\u20131759 (2019).","journal-title":"Bioinformatics"},{"key":"393_CR4","first-page":"232","volume":"2018","author":"DC Berrios","year":"2018","unstructured":"Berrios, D. C., Beheshti, A. & Costes, S. V. FAIRness and usability for open-access Omics data systems. AMIA Annu. Symp. Proc. 2018, 232\u2013241 (2018).","journal-title":"AMIA Annu. Symp. Proc."},{"key":"393_CR5","doi-asserted-by":"publisher","first-page":"eaau8650","DOI":"10.1126\/science.aau8650","volume":"364","author":"FE Garrett-Bakelman","year":"2019","unstructured":"Garrett-Bakelman, F. E. et al. The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight. Science 364, eaau8650 (2019).","journal-title":"Science"},{"key":"393_CR6","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-15-S14-S4","volume":"15","author":"A Gonz\u00e1lez-Beltr\u00e1n","year":"2014","unstructured":"Gonz\u00e1lez-Beltr\u00e1n, A., Maguire, E., Sansone, S.-A. & Rocca-Serra, P. linkedISA: semantic representation of ISA-Tab experimental metadata. BMC Bioinforma. 15, S4 (2014).","journal-title":"BMC Bioinforma."},{"key":"393_CR7","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-014-0550-8","volume":"15","author":"MI Love","year":"2014","unstructured":"Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).","journal-title":"Genome Biol."},{"key":"393_CR8","doi-asserted-by":"publisher","unstructured":"Korotkevich, G., Sukhov, V. & Sergushichev, A. Fast gene set enrichment analysis. bioRxiv 060012 (2019) https:\/\/doi.org\/10.1101\/060012.","DOI":"10.1101\/060012"},{"key":"393_CR9","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1038\/s41592-023-02014-7","volume":"20","author":"AS Castanza","year":"2023","unstructured":"Castanza, A. S. et al. Extending support for mouse data in the Molecular Signatures Database (MSigDB). Nat. Methods 20, 1619\u20131620 (2023).","journal-title":"Nat. Methods"},{"key":"393_CR10","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1038\/s42256-023-00617-5","volume":"5","author":"RT Scott","year":"2023","unstructured":"Scott, R. T. et al. Biomonitoring and precision health in deep space supported by artificial intelligence. Nat. Mach. Intell. 5, 196\u2013207 (2023).","journal-title":"Nat. Mach. Intell."},{"key":"393_CR11","doi-asserted-by":"publisher","first-page":"btad080","DOI":"10.1093\/bioinformatics\/btad080","volume":"39","author":"JH Morris","year":"2023","unstructured":"Morris, J. H. et al. The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information. Bioinformatics 39, btad080 (2023).","journal-title":"Bioinformatics"}],"container-title":["npj Microgravity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41526-024-00393-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41526-024-00393-5","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41526-024-00393-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T08:03:43Z","timestamp":1715673823000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41526-024-00393-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,14]]},"references-count":11,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["393"],"URL":"https:\/\/doi.org\/10.1038\/s41526-024-00393-5","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3755391\/v1","asserted-by":"object"}]},"ISSN":["2373-8065"],"issn-type":[{"value":"2373-8065","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,14]]},"assertion":[{"value":"14 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"CEM is a co-Founder of Onegevity, Twin Orbit, and Cosmica Biosciences. All other authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"56"}}