On October 25, 2018, it was learned that AWS (Amazon Web Services) will join the NIH (National Institutes of Health) STRIDES (Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability) program, using advanced technologies in the AWS cloud Promote innovative research in biomedicine.
STRIDES is planned to be launched in July 2018 to provide commercial cloud computing services for NIH biomedical researchers. Initially, NIH’s work focused on helping researchers obtain high-value data sets and trying new methods to optimize technology-intensive research. The STRIDES plan is part of the NIH Mutual Fund Data Management New Model (NMDS). Another part of NMDS is the NIH Data Sharing Test Plan, which aims to test the integration of high-value biomedical data sets into the cloud computing system, establish and evaluate The best way to use data. AWS is the second cloud service provider to join the STRIDES program after Google Cloud.
AWS is a subsidiary of Amazon. It provides on-demand cloud computing platform services to governments, companies and individuals through paid subscriptions. The service always allows subscribers to access virtual computer data sets through the network.
The agreement between NIH and AWS will help NIH researchers and researchers from more than 2,500 academic institutions across the country to obtain funding from NIH and a series of AWS technologies. The person in charge of the STRIDES project hopes that the data provided in cooperation with commercial cloud service providers (CSP) such as AWS can meet the searchable, accessible, interoperable and reusable (FAIR) standards recognized by the biomedical research community.
They also hope that AWS will work directly with NIH and its funded researchers to develop and test new methods, and build more data sets and related computing tools for use and access by a wider research community. Researchers in the CSP and NIH data sharing test phase will establish cloud storage services for the three test data sets, and set guidelines, systems and procedures at the same time. After completing a series of pilot programs and revising the program's systems and procedures, this service will be provided to NIH-funded research institutions.
The three test data sets funded by NIH are determined based on their value in the biomedical research community, the diversity of data, and the coverage of basic research and clinical research.
Currently, these three data sets include the following: Genotype-Tissue Expression (GTEx) data set, GTEx data set explores the expression and regulation of human genes in different tissues, and the role of genomic variation in changing gene expression; Genomic Resource Integration (AGR), the AGR data set is composed of 6 MOD (model biology database), MOD provides in-depth biological data for the in-depth study of model organisms; precision medicine Trans-Omics (TOPMed), TOPMed data set collection And paired whole genome sequencing (WGS).
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