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Updated: Jan 8, 2026

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
Published on: April 19, 2021
Scalable cyberinfrastructure for experimental NMR data
Jeffrey C Hoch1,2, Katherine Henzler-Wildman3,4, Arthur S Edison5,6,7
1Department of Molecular Biology & Biophysics, UConn Health, Farmington, CT, 06030, USA.
The Network for Advanced NMR (NAN) provides a unified cyberinfrastructure for Nuclear Magnetic Resonance (NMR) facilities. This resource democratizes access to advanced NMR instruments and data, fostering open and reproducible scientific research.
Area of Science:
- Biomedicine
- Chemistry
- Material Science
Background:
- Nuclear Magnetic Resonance (NMR) facilities are often fragmented, limiting access to advanced instrumentation and data.
- Emerging data standards in biomedicine, chemistry, and material science require robust infrastructure for data management and sharing.
Purpose of the Study:
- To establish a novel distributed resource, the Network for Advanced NMR (NAN), connecting NMR facilities.
- To create a scalable cyberinfrastructure supporting NMR data harvesting, management, and discovery.
- To enable emerging data standards and democratize access to NMR resources.
Main Methods:
- Integration of NMR facilities around a centralized hub for identity management, resource discovery, and access control.
- Automated data harvesting via the NAN data transport system (NDTS).
- Metadata-rich data archiving with interactive web-based tools for data browsing, editing, and publishing.
Main Results:
- NAN provides access to the first open-access 1.1 GHz NMR instruments in the USA.
- Implementation of tools for facility and laboratory data management.
- Development of NAN knowledgebases with standardized protocols, parameters, and datasets.
Conclusions:
- NAN successfully democratizes access to advanced NMR resources.
- The platform fosters open, reproducible science through enhanced data sharing and management.
- NAN supports the development and adoption of emerging data standards in scientific research.
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