Enhancing Data Access and Analysis in the Cloud Advances NIH-Supported Discovery

Guest blog post authored by: Andrea Norris, MBA, Director, Center for Information Technology (CIT), and Chief Information Officer (CIO), NIH Patricia Flatley Brennan, RN, PhD, FAAN, Director, National Library of Medicine, NIH Susan Gregurick, PhD, Associate Director for Data Science, NIH; Director of the NIH Office of Data Science Strategy To fully benefit from the exponentially growing body of biomedical data, we need cutting-edge approaches that foster data access, analysis, sharing, and collaboration so novel scientific questions can be pursued. But the sheer volume, sometimes siloed nature, along with the costs and time associated with analyzing large datasets, can be difficult for some researchers. Recognizing these concerns, NIH is helping by hosting large data sets and bringing together computational tools and cloud technologies in ways that support open access, interoperability, and collaborative analyses. We encourage you to explore how these resources may help accelerate your research in ways not possible before. In recent years, NIH has invested in cloud computing and other platforms to create shared environments enabling opportunities for better data access and novel analyses. These investments are positively shifting how researchers interact with COVID-19, genomic, imaging, proteomic, and other NIH-supported large datasets. The NIH Strategic Plan for Data Science suggests fostering data access and use through investing in cloud computing will have many benefits...
Source: NIH Extramural Nexus - Category: Research Authors: Tags: blog Open Mike Cloud Computing Open Access Resources rigor Source Type: funding