What systems and services does UITS Research Technologies provide for researchers working with data containing HIPAA-regulated PHI?

The Health Insurance Portability and Accountability Act of 1996 (HIPAA) established rules protecting the privacy and security of individually identifiable health information. The HIPAA Privacy Rule and Security Rule set national standards requiring organizations and individuals to implement certain administrative, physical, and technical safeguards to maintain the confidentiality, integrity, and availability of protected health information (PHI).

At Indiana University, UITS Research Technologies provides several systems and services that meet certain requirements established in the HIPAA Security Rule, enabling their use for research involving data that contain PHI.

IU researchers may use the resources listed below for research involving data that contain PHI only if they institute additional safeguards that complement those UITS already has in place. Failure to comply with HIPAA requirements can result in civil and criminal penalties, as well as progressive disciplinary actions through Indiana University, up to and including termination. For more, see:
Service category System name Description
Archival storage Scholarly Data Archive (SDA) The SDA provides extensive capacity (42 PB) for storing and accessing research data. The SDA is a distributed storage service co-located at IU data centers in Bloomington and Indianapolis. The SDA provides IU researchers with large-scale archival or near-line data storage, arranged in large files, with automatic off-site copies of data for disaster recovery.
Data management REDCap REDCap is a secure, web-based database management tool for capturing, using, and sharing research data. REDCap was designed for investigators who collect and share data (including PHI) for clinical research.
Data visualization IQ-Wall
Ultra-High Resolution Display Wall
Virtual Reality Theater
Visualization and Collaborative Theater
Advanced Visualization Lab (AVL) facilities at IUB and IUPUI are designed to help researchers effectively use advanced visualization technologies. A variety of AVL technologies are available for routine use, testing, and demonstration.
High-performance scratch space for research computing applications Data Capacitor II The High Performance File Systems unit of Research Technologies operates the Data Capacitor II (DC2) high-speed file system for temporary storage of research data. Available on the Big Red II, Karst, and Mason research supercomputers, this Lustre-based parallel file system is not intended for permanent storage of data and is not backed up, but it is ideal for storing research data while they are being processed and analyzed on an IU supercomputer.

Unlike the DC2 file system (/N/dc2/), the Data Capacitor Wide Area Network 2 (DC-WAN2) file system (/N/dcwan/) does not meet HIPAA Security Rule requirements and should not be used to store data containing PHI. If you have questions, contact the UITS High Performance File System team.
Research databases Research Database Complex (RDC) The RDC supports research-related MySQL databases, and provides an environment for database-driven web applications focusing on research.
Supercomputers Big Red II IU's main high-performance parallel computing system, Big Red II, has a theoretical peak performance (Rpeak) of one thousand trillion floating-point operations per second (1 petaFLOPS), making it one of the world's fastest research supercomputers. Owned and operated solely by IU, Big Red II is designed to accelerate discovery in a wide variety of fields.
Karst Karst is a high-throughput computing cluster designed to deliver large amounts of processing capacity over long periods of time. Karst's system architecture provides advanced performance to accommodate high-end, data-intensive applications critical to scientific discovery and innovation. Karst also serves as a "condominium cluster" environment for IU researchers, research labs, departments, and schools.

Note: Mason, Indiana University's large memory computer cluster, will be retired on January 1, 2018. For more, see About the Mason retirement.

Mason is a large-memory cluster configured to support data-intensive, high-performance computing tasks for researchers involved in genome analysis. Mason is well suited for running genome assembly software, large-scale phylogenetic software, and other genome analysis applications that require large amounts of computer memory.

For help determining which of IU's research supercomputing systems is best suited to meet your needs, use the UITS Supercomputing Pathfinder.

UITS provides consulting and online help for Indiana University researchers who need help securely processing, storing, and sharing data containing PHI. If you have questions about managing HIPAA-regulated data at IU, or need help, contact UITS HIPAA Consulting. For additional details about HIPAA compliance at IU, see HIPAA Privacy & Security on the University Compliance website.

Although PHI is one type of institutional data classified as Critical at IU, other types of institutional data classified as Critical are not permitted on Research Technologies systems. For help determining which institutional data elements classified as Critical are considered PHI, see Which data elements in the classifications of institutional data are considered protected health information (PHI)?

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Last modified on 2017-07-28 15:13:33.

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