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Adapting federated cyberinfrastructure for shared data collection facilities in structural biology
Ian Stokes-Rees1, Ian Levesque, Frank V Murphy
1Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
Journal of Synchrotron Radiation
|April 20, 2012
Summary
Archiving early-stage structural biology data is crucial. This study presents a prototype system using federated cyberinfrastructure to improve data management at synchrotron facilities for better accessibility and collaboration.
Area of Science:
- Structural biology
- Biophysics
- Data science
Background:
- Early-stage experimental data in structural biology is often unmaintained and inaccessible.
- Archiving and publishing this foundational data is increasingly recognized as essential.
- Shared scientific facilities like synchrotron beamlines face challenges with data storage, access, and remote user management.
Purpose of the Study:
- To describe a prototype system for improving the operational environment at synchrotron data collection facilities.
- To adapt existing federated cyberinfrastructure technology for structural biology data management.
- To address challenges in data storage, access, and movement for shared scientific facilities.
Main Methods:
- Utilized software from the Virtual Data Toolkit and Globus.
- Adapted existing federated cyberinfrastructure technologies.
- Integrated users and facilities from multiple institutions including Stanford Synchrotron Radiation Lightsource, Advanced Photon Source, Open Science Grid, SBGrid Consortium, and Harvard Medical School.
Main Results:
- Demonstrated a prototype system significantly improving the user and administrator experience.
- Successfully brought together federated users and facilities.
- Provided a model for data management at shared scientific facilities.
Conclusions:
- The prototype system offers a viable model for data management at shared scientific facilities.
- Federated cyberinfrastructure can effectively address data accessibility and management challenges.
- Improved data handling is critical for advancing structural biology research.

