UITS Research Technologies systems and services 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).

The Research Technologies division of UITS provides several systems and services that meet certain requirements established in the HIPAA Security Rule thereby enabling their use for research involving data that contain protected health information (PHI). However, using a UITS Research Technologies resource does not fulfill your legal responsibilities for protecting the privacy and security of data that contain PHI. You may use these resources for research involving data that contain PHI only if you institute additional administrative, physical, and technical safeguards that complement those UITS already has in place. For more, see Your legal responsibilities for protecting data containing protected health information (PHI) when using UITS Research Technologies systems and services.

Service category System name Description
Archival storage Scholarly Data Archive (SDA) The SDA tape library provides extensive capacity (79 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 IU REDCap IU's implementation of REDCap provides secure, web-based database management tools for capturing, using, and sharing research data. IU REDCap was designed for investigators who collect and share data (including PHI) for clinical research.
Data visualization About the UITS Advanced Visualization Lab (AVL) Advanced Visualization Lab (AVL) facilities and systems 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 (HPFS) unit of Research Technologies operates the Data Capacitor II (DC2) high-speed file system for temporary storage of research data. Available on the IU's 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.
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.
Big Red II+ Big Red II+ is a supercomputer that complements Indiana University's Big Red II by providing an environment dedicated to large-scale, compute-intensive research. Researchers, scholars, and artists with large-scale research needs have benefited from Big Red II; these users can now take advantage of faster processing capability and networking provided by Big Red II+. The system supports programs at the highest level of the university, such as the Grand Challenges Program.
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.
Carbonate Designed to support high-performance, data-intensive computing, Carbonate is particularly well suited for use by researchers using genome assembly software, large-scale phylogenetic software, and other genome analysis applications that require large amounts of computer memory. Carbonate also serves as a "condominium cluster" environment for IU researchers, research labs, departments, and schools.
For help determining which of IU's research supercomputing systems is best suited to meet your needs, use the UITS Supercomputing Pathfinder.

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.

Although PHI is one type of Critical data, 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 About protected health information (PHI) data elements in the classifications of institutional data.

UITS provides consulting and online help for Indiana University researchers, faculty, and staff who need help securely processing, storing, and sharing data containing protected health information (PHI). If you have questions about managing HIPAA-regulated data at IU, contact UITS HIPAA Consulting. To learn more about properly ensuring the safe handling of PHI on UITS systems, see the UITS IT Training video Securing HIPAA Workflows on UITS Systems. For additional details about HIPAA compliance at IU, see HIPAA Privacy and Security Compliance

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Last modified on 2019-07-15 19:15:10.

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