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Data storage and management presents an increasing challenge to data-intensive research facilities, especially as artificial intelligence (AI) and machine learning projects generate a skyrocketing amount of data to be processed and analyzed faster and faster. Argonne National Laboratory is no different: as an emerging leader in data science and exascale computing, its researchers conduct leading-edge research in virtually every scientific discipline, collaborating with scientists at industries, universities, and government agencies.

CHICAGO, Sept. 11, 2018 — Globus, a leading research data management service, today announced support for management of protected data, including data regulated by the Health Insurance Portability and Accountability Act (HIPAA) and Controlled Unclassified Information (CUI). With higher assurance levels for protected data, researchers can now easily manage Protected Health Information (PHI), for example, and share it securely with collaborators.

A new data platform for the biological sciences promises to improve the face of scientific analysis and publication.

Read the story on Argonne's site

Six years in the making, the U.S. Department of Energy’s (DOE) Knowledgebase (KBase) program offers the most updated system for recording experimental methods, collaborating with colleagues and performing every step of biological analysis through one free, open source.

The amount of data processed at CERN's Large Hadron Collider (LHC) will grow significantly when CERN transitions to the High-Luminosity LHC, a facility upgrade being carried out now for operations planned in 2026. To help meet the LHC’s growing computing needs, scientists from the ATLAS experiment are working in conjunction with the Argonne Leadership Computing Facility (ALCF) to optimizing ATLAS simulations on the ALCF’s Intel-Cray supercomputer, Theta, to improve the processing efficiency on supercomputing resources.