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UrduThe original FAIR (findable, accessible, interoperable, and reusable) principles defined best practices to maximize the reuse of datasets. Researchers have now adapted these principles for scientific datasets and research software.
Tag: Scientific Data Management
Kate Petersen Mace selected as High Performance Data Facility Project Director
The U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility announced today that Kate Petersen Mace has been named the project director for the High Performance Data Facility (HPDF) a first-of-its-kind project that will provide resources for data-intensive science.
Bright lights, big data: how Argonne is bringing supercomputing and X-rays together for scientific breakthroughs
Argonne’s newest supercomputer, Polaris, is up and running, and scientists using the Advanced Photon Source are already seeing faster data analysis. While the combination is paying dividends now, it points toward an upgraded APS and an even better supercomputer called Aurora.
Argonne scientist develops new X-ray data reconstruction method
A new software package developed by Argonne will help scientists reconstruct data from X-ray tomography experiments at the Advanced Photon Source up to 30 times faster than current methods.
Argonne scientists promote FAIR standards for managing artificial intelligence models
Argonne computational scientists adopt new framework for making AI models more findable, accessible, interoperable and reusable.
Argonne’s Globus software wins award at 2021 Data Mover Challenge
Research data management platform Globus took home the Best Integrated Software Experience Award at the 2021 Data Mover Challenge.
Argonne captures 3 R&D 100 Awards for innovative technology
Three Argonne technologies were chosen as winners in the 2021 R&D 100 award competition, the nation’s most prestigious innovation awards program honoring R&D pioneers and their revolutionary ideas in science and technology.
Bringing discoveries to light: X-ray science at Argonne
The Advanced Photon Source allows an intricate view of everything from proteins to nuclear fuel. With a planned upgrade, it will become even more powerful.
Six Argonne researchers receive DOE Early Career Research Program awards
Argonne scientists Michael Bishof, Maria Chan, Marco Govini, Alessandro Lovato, Bogdan Nicolae and Stefan Wild have received funding for their research as part of DOE’s Early Career Research Program.