The National Institutes of Health’s Office of Data Science Strategy (ODSS) recently completed the NIH Figshare Instance, a one-year pilot project, as part of an ongoing strategy to explore the roles and uses of generalist repositories in our data repository landscape. Data in the NIH Figshare Instance archive will continue to remain publicly accessible and editable, and ... Read more
The plan includes five strategic research priorities and three cross-cutting strategies, including investing in data science.
The plan includes the following information about the agency’s data science strategy:
“To accelerate the pace of scientific discovery, NIH will support... Read more
The Office of Data Science Strategy at the National Institutes of Health (NIH) and the National Library of Medicine are hosting a virtual workshop on Jumpstarting Access to Clinical Data for COVID-19 Research on July 29, 2020.
NIH is committed to advancing research and its data science efforts to end the COVID-19 pandemic. As part of the larger NIH COVID-19 response, leadership is designing a COVID-... Read more
The National Institutes of Health’s Office of Data Science Strategy (ODSS) and Figshare, a generalist data repository, will conclude the NIH Figshare Instance, a one-year pilot project, on July 15, 2020. Data in the NIH Figshare Instance will continue to remain publicly accessible and editable after July 15. New items can also be... Read more
The National Institutes of Health has launched a centralized, secure enclave to store and study vast amounts of medical record data from people diagnosed with coronavirus disease across the country. It is part of an effort, called the National COVID Cohort Collaborative (N3C), to help scientists analyze these data to understand the disease and develop treatments. The N3C harnesses the extensive resources of the... Read more
The National Cancer Institute Center for Biomedical Informatics and Information Technology and SC20 are seeking abstracts for presentations for the Sixth Computational Approaches for Cancer Workshop (CAFCW20). CAFCW20 is a workshop designed to bring together clinicians, cancer biologists, mathematicians, data scientists, computational scientists, engineers, developers, thought leaders, and... Read more
Many in the data science community are familiar with the FAIR principles—a set of principles to make data findable, accessible, interoperable, and reusable. Earlier this month NIH’s Dr. Dawei Lin, a data scientist from NIAID, and colleagues published the community-developed TRUST principles to promote the adoption of Transparency, Responsibility, User focused, Sustainability, and Technology. These principles are complementary to the FAIR principles and aim to promote TRUST for data... Read more
On June 2, the Veterans Health Administration (VHA) Innovation Ecosystem will be launching the COVID-19 Risk Factor Modeling Challenge.
Identifying and improving our understanding of the risk and protective factors for severe COVID-19 illness is crucial to better protect, triage, and treat at-risk individuals. To date, researchers and medical professionals have identified... Read more
The last day to submit to precisionFDA’s Truth Challenge V2: Calling Variants from Short and Long Reads in Difficult-to-Map Regions is June 8.
Join this challenge to assess variant calling pipeline performance on a common frame of reference consisting of difficult-to-map regions, segmental duplications, and the Major Histocompatibility Complex (MHC). Ilumina, PacBio HiFi, and Oxford Nanopore sequencing... Read more
The National Institutes of Health’s Office of Data Science Strategy and the National Center for Biotechnology Information (NCBI) at the National Library of Medicine recently issued a Request for Information (RFI) (NOT-OD-20-108) seeking public input on how Sequence Read Archive (SRA) data can be formatted and stored to better facilitate usage,... Read more