On October 25, 2018, the Arterial Network learned that AWS (Amazon Web Services) will join the NIH (National Institutes of Health) STRIDES (Discovery, Experiment, and Sustainability Science and Technology Research Infrastructure) program, leveraging the AWS cloud Advanced technology promotes innovative research in biomedicine.
STRIDES is scheduled to be launched in July 2018 to provide commercial cloud computing services to NIH biomedical researchers. Initially, NIH's focus was on helping researchers get high-value data sets and trying new ways to optimize technology-intensive research. The STRIDES program is part of the NIH Mutual Fund Data Management New Model (NMDS), another component of the NMDS is the NIH Data Sharing Test Program, which is designed to test the integration, establishment, and evaluation of high-value biomedical data sets into cloud computing systems. The best way to use data. AWS is the second cloud service provider to join the STRIDES program following Google Cloud.
AWS, a subsidiary of Amazon, provides paid-for-subscription services to governments, companies, and individuals on-demand cloud computing platform services that always allow subscribers to access virtual computer datasets over the network.
The agreement between NIH and AWS will help NIH researchers and researchers from more than 2,500 academic institutions across the country receive NIH funding and a range of AWS technologies. The head of the STRIDES project hopes to meet the standards of searchable, accessible, interoperable and reusable (FAIR) recognized by the biomedical research community through data provided in partnership with commercial cloud service providers (CSPs) such as AWS.
They also hope that AWS will work directly with NIH and its funded researchers to develop and test new methods, and to build more data sets and related computing tools for use and access by a broader research community. Researchers at the CSP and NIH data sharing testing phases will build cloud storage services for three test data sets, along with guidelines, systems, and processes. After completing a series of pilot programs and revising the system and procedures for the program, the service will be provided to NIH-funded research institutions.
The three test datasets funded by NIH are based on their value in the biomedical research community, the diversity of data, and the coverage of basic and clinical research.
Currently, these three data sets include the following: genotype-tissue expression (GTEx) dataset, GTEx dataset to explore the expression and regulation of human genes in different tissues, and the role of genomic variation in altering gene expression; Genomic Resource Integration (AGR), the AGR data set consists of six MODs (model biological databases), MOD provides in-depth biological data for in-depth study of model organisms; Trans-Omics (TOPMed) for precision medicine, collection of TOPMed data sets And paired whole genome sequencing (WGS).
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