ATLAS Community Health Initiative (ATLAS)

In collaboration with the Clinical and Translational Science Institute (CTSI), the IPH launched the ATLAS Community Health Initiative (ATLAS) to engage a diverse sample of patients across UCLA Health in precision health research. The goal was to create a powerful and robust clinical and genomic data resource for cutting-edge translational research. ATLAS aims to enroll at least 150,000 patients into the UCLA Precision Health Biobank. Genetic information from this large-scale collection of diverse patient biospecimens is integrated with de-identified clinical information from the patient medical record and made available to UCLA approved researchers. Learn more about how to request genomic data, or to access samples or data, submit a request.

Bridge to AI (Bridge2AI)

The Bridge2AI Consortium seeks to bridge the biomedical and behavioral research communities with the rapidly growing community of experts developing AI/ML models by producing flagship datasets that adhere to the FAIR principles (Findable, Accessible, Interoperable, Reproducible) and critically integrate ethical considerations in preparing data for computation. 

Community engagement data sources

Coming soon. Check back for details.

Discovery Data Repository & Dashboard (DDR&D)

DDR&D is an Analytic-Ready de-identified data repository, a cohort discovery dashboard, and a set of tools and technologies to enable back and front-end access to underlying data. The DDR&D was developed by UCLA's Office of Health Informatics & Analytics (OHIA) to provide researchers secured and compliant access to health system data assets. We offers 3 bundle options to use the DDR.​

National COVID Cohort Collaborative Data Enclave (N3C)

The National COVID Cohort Collaborative Data Enclave (N3C) allows researchers to access a centralized analytics platform to enable the rapid analysis of clinical, laboratory and diagnostic data on COVID-19 tested patients (both positive and negative) from around the U.S. So far, 35 sites have deposited data on more than 2 million patients, and these numbers are increasing weekly. Investigators can use N3C data to answer critical research questions that address the pandemic. See N3C's video tutorials covering a wide range of topics to introduce users to the N3C Data Enclave and its tools and processes.

NIH requirements for Data Management and Sharing

The CTSI Grants Submission Unit (GSU) provides a helpful guide on the Data and Management Sharing Plan (updated as of January 25, 2023) that describes the data management, preservation, and sharing of scientific data and accompanying metadata. The new NIH-wide Policy defines scientific data as “the recorded factual material commonly accepted in the scientific community as of sufficient quality to validate and replicate research findings, regardless of whether the data are used to support scholarly publications.”

Perioperative Data Warehouse at UCLA (PDW)

The Department of Anesthesiology and Perioperative Medicine (DAPM), in collaboration with UCLA CTSI and the UCLA Office of Health Informatics and Analytics (OHIA) has developed and maintains a Perioperative Data Warehouse (PDW). The PDW is a custom-built, SQL-based data warehouse that extracts key data from EPIC (UCLA's electronic medical record) and organizes it into a user-accessible format in a highly validated and structured way. The warehouse contains over 4,000 distinct measures and metrics from across the perioperative period. This clinical data can be used for a variety of purposes. 

See PDW full details and contact information

SlicerDicer

SlicerDicer—a self-service data exploration and reporting tool within CareConnect—allows physicians, department managers, and other users to search aggregate information on CareConnect patient-based populations. For instance, you would be able to view the total number of pediatric patients with a flu shot in the past 30 days. Right in CareConnect, you can examine trends, drill down to line-level details, and jump to related records to follow up. SlicerDicer's base population includes all active UCLA patients (i.e. patients seen at UCLA since the CareConnect Go-Live, March 2013).

Learn more about SlicerDicer

Unified Learning Environment for Analytics & Data (ULEAD)

ULEAD is a cloud-based, secured, unified virtual environment, in which users can analyze and visualize data using select tools and datasets. The objective of the ULEAD platform is to protect PHI data while making it available in a secure manner for UCLA Health Community. It offers the UCLA Health community many benefits, including:

  • Enhanced data security
  • Streamlined process for data access
  • Reduced burden of data release approval as the data will remain in a secure environment
  • Access to compute resources that are more powerful than users’ local laptops or desktops
  • Scalable architecture to support growing business needs

ULEAD will be made available to the UCLA Health community in multiple phases. Pilot set of users were CTSI and select users from Research Community. Following successful pilot implementation, this platform is effectively used by CTSI for releasing data to researchers. Researchers use the tools available in the platform for their analytical needs.

University of California COVID Research Data Set (CORDS)

The University of California COVID Research Data Set (UC CORDS) simplifies the process a researcher would otherwise have to go through to have a critical mass of detailed clinical data and patient variables to make meaningful comparisons. Once the request is validated, researchers gain access to the systemwide data from UC Health’s five academic health centers. UC CORDS follows the U.S. Department of Health & Human Services definition of a HIPAA Limited Data Set and excludes key direct identifiers of the individual or of relatives, employers, or household members of the individual. 

See CORDS full details and contact information