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 and project space for research computing applications Data Capacitor II, Slate, Slate-Project

The High Performance File Systems (HPFS) unit of Research Technologies operates Lustre-based parallel file systems that provide high-speed read-write data access for applications running on IU's research supercomputers. These file systems are ideal for storing application data that are being processed and analyzed on IU's research supercomputers; they are not intended for permanent data storage (data are not backed up).

  • Data Capacitor II (DC2) scratch directories are created automatically for all users with accounts on IU's research supercomputers. DC2 project directories are reserved for research projects with atypical requirements that cannot be met by other systems.
    Note:
    The Data Capacitor II (DC2) high-performance file system will be retired from service on December 11, 2020. Starting October 11, 2020, the DC2 file system will be mounted read-only on the IU research supercomputers. Users with DC2 project data should migrate their data to Slate or Slate-Project; for instructions, see Move DC2 project data to Slate or Slate-Project at IU. If you have questions or need help, contact the UITS High Performance File Systems (HPFS) team.
  • Space on Slate is available to all IU research supercomputer users.
  • Space on Slate-Project is available by request to IU researchers who need shared/project space or an allocation larger than those available on Slate.
Disk-based home directory and project space on IU research supercomputers Geode, Geode-Project

Geode is a disk-based online storage system that provides home directory space for users of Indiana University's research supercomputers and the Geode-Project fee-based storage service for IU research projects. Geode is co-located at the IU data centers in Bloomington and Indianapolis. Files stored on Geode are replicated, by default, at each data center. Home directories and Geode-Project spaces are accessible directly from all IU research supercomputers and remotely from personal workstations connected to the IU campus network. For current Geode-Project fee information, see "Replicated Research Storage (Geode)" on UITS Rates for Direct-Bill Services.

Research databases Research Database Complex (RDC) The RDC supports research-related MySQL databases.
Research supercomputers Big Red 3, Carbonate, Karst

Big Red 3 is a Cray XC40 supercomputer dedicated to researchers, scholars, and artists with large-scale, compute-intensive applications that can take advantage of the system's extreme processing capability and high-bandwidth network topology. Big Red 3 supports programs at the highest level of the university, including the Grand Challenges program.

Carbonate is Indiana University's large-memory computer cluster. Designed to support high-performance, data-intensive computing, Carbonate is particularly well-suited for running genome assembly software, large-scale phylogenetic software, and other genome analysis applications that require large amounts of computer memory. To support researchers with deep learning applications, Carbonate also is equipped with 12 GPU-accelerated deep learning (DL) nodes. Additionally, Carbonate provides a "condominium cluster" environment for IU researchers, research labs, departments, and schools.

Karst is Indiana University's high-throughput computing cluster. Designed to deliver large amounts of processing capacity over long periods of time, Karst's system architecture provides IU researchers the advanced performance needed to accommodate high-end, data-intensive applications critical to scientific discovery and innovation.

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 classified as 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.

If you have questions about securing HIPAA-regulated research data at IU, email securemyresearch@iu.edu. SecureMyResearch provides self-service resources and one-on-one consulting to help IU researchers, faculty, and staff meet cybersecurity and compliance requirements for processing, storing, and sharing regulated and unregulated research data; for more, see About SecureMyResearch. 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. To learn about division of responsibilities for securing PHI, see Shared responsibility model for securing PHI on UITS systems.

This is document bdqg in the Knowledge Base.
Last modified on 2020-07-28 15:44:02.

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