| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
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| Symposium
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Novel Strategies for Rapid Acquisition and Processing of Large Datasets from Advanced Characterization Techniques
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| Presentation Title |
Galaxy: A Critical Framework for Large Data Volumes and Data-intensive Processing in the Synchrotron World |
| Author(s) |
Kelly E. Nygren, Werner Sun, Rolf Verberg, Keara Soloway, Valentin Y. Kuznetsov, Devin Bougie, Matthew P. Miller , Katherine S. Shanks |
| On-Site Speaker (Planned) |
Kelly E. Nygren |
| Abstract Scope |
Synchrotron techniques provide critical access to the microstructural and micromechanical response of materials across a range of relevant length scales and timescales. Because access to these techniques requires specialized training, it is important to release not only the research outcomes, but the data itself to the larger scientific community. However, as synchrotron technologies advance, data volumes and data complexity are growing at an unprecedented rate. The addition of data-intensive computing and cyber expertise to the ever-requisite x-ray and materials science expertise overburdens the userbase. To bring the focus back to the science and foster the curation, sharing, and reproducibility of workflows, datasets, and results, CHESS has adopted a science gateway built on the open-source Galaxy framework. In this talk we will present the science gateway, how it enables FAIR practices, and discuss the ripple effect it has had on creating a robust data and software infrastructure across the facility. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, |