Harnessing Protected Data in Research Collaborations with Globus

January 08, 2019  | Science Node

Widely deployed platform now offers higher assurance levels for data containing PHI, PII, and CUI.

For scientists who need to manage HIPAA-regulated data or other Protected Health Information (PHI), data management and movement can be a challenge. The difficulties of sharing protected data with collaborators often leads researchers to limit their studies by using highly distilled, de-identified data rather than dealing with compliance and security mandates.

That’s why Globus, the de facto standard for research data management from the University of Chicago, supports management of protected data including data regulated by the Health Insurance Portability and Accountability Act (HIPAA), Personally Identifiable Information (PII), and Controlled Unclassified Information (CUI) governed by the NIST 800-171 and NIST 800-53 standards. Globus subscribers can empower their researchers to easily manage protected data and share it securely and appropriately with collaborators.

“Using Globus to manage protected data solves an urgent need for my research and for the biomedical research community across the world,” said Dr. Jonathan Silverstein, Chief Research Informatics Officer for the University of Pittsburgh School of Medicine. “When scientists can collaborate more easily on richer datasets via approved methods for sharing protected data, they can accelerate the pace of research and get to results faster."

“Researchers need the ability to manage protected data the same way they manage other research data,” said Ian Foster, Globus co-founder, director of Argonne National Laboratory’s Data Science and Learning Division, and Professor of Computer Science at the University of Chicago. “With Globus support for higher assurance levels, researchers can easily move and share data while meeting the more stringent requirements associated with research involving human subjects.”

For more information: https://www.globus.org/protected-data