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Resources
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The Role of a Secure Trusted Research Environment in Meeting NIH’s Updated Guidance to Genomic Data Sharing Policy
As the research community continues to rely on data shared by the National Institutes of Health (NIH), ensuring the security of that data continues to be an important requirement. Last year, the NIH issued an implementation update to the NIH Genomic Data Sharing Policy (GDS Policy), which outlines requirements for researchers accessing, storing, or processing large-scale human and non-human genomic data generated from NIH-funded research. The update was designed to continue to promote responsible data management and access under the GDS Policy and ensure the broad and responsible sharing of NIH genomic data for research that advances human health.
The Role of a Secure Trusted Research Environment in Meeting NIH’s Updated Guidance to Genomic Data Sharing Policy
As the research community continues to rely on data shared by the National Institutes of Health (NIH), ensuring the security of that data continues to be an important requirement. Last year, the NIH issued an implementation update to the NIH Genomic Data Sharing Policy (GDS Policy), which outlines requirements for researchers accessing, storing, or processing large-scale human and non-human genomic data generated from NIH-funded research. The update was designed to continue to promote responsible data management and access under the GDS Policy and ensure the broad and responsible sharing of NIH genomic data for research that advances human health.
Accelerating Clinical Research: Harnessing Multi-modal Data, AI, and Secure Collaboration
Join experts from Indiana University, Manifold, and Snowflake for an on-demand eWebinar where you'll learn how to break down data silos, integrate and analyze large-scale clinical and multi-modal data, and collaborate securely with both internal teams and external institutions. Discover how to leverage AI to automate data operations and surface insights faster, enabling more efficient and impactful research.
Accelerating Clinical Research: Harnessing Multi-modal Data, AI, and Secure Collaboration
Join experts from Indiana University, Manifold, and Snowflake for an on-demand eWebinar where you'll learn how to break down data silos, integrate and analyze large-scale clinical and multi-modal data, and collaborate securely with both internal teams and external institutions. Discover how to leverage AI to automate data operations and surface insights faster, enabling more efficient and impactful research.
