Plant, A.
and Bajcsy, P.
(2024),
Enabling Global Image Data Sharing in the Life Sciences, arXiv, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957178, https://arxiv.org
(Accessed January 17, 2025)
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Enabling Global Image Data Sharing in the Life Sciences
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Abstract
Public, reference data are one of the most important foundational resources in the modern life and biomedical sciences. Over the last 40 years, the public release and availability of genomic and macromolecule structural databases accelerated discovery, sparked the development of wholly new fields of science, spawned multi-billion dollar industries, and led to a revolution in drug development and disease treatments. The major next step is the development of public reference biological and medical imaging data repositories, which promises at least an equal, if not larger impact on discovery and society. The motivation driving this White Paper is the timely and critical need for infrastructure supporting image acquisition, management, and analysis, that is not only coordinated within the US but also across the world.Citation
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image data sharing, image repositories, AI models, cellular imaging, data storage and retrieval, FAIR data
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Created December 23, 2024, Updated December 19, 2024