Compass integrates patient data from the electronic medical records at UCHealth and Children's Hospital Colorado, provider billing data from CU Medicine, and -omics data from the Colorado Center for Personalized Medicine. This data is further enriched with a variety of state and public data sources. Compass use advanced algorithms to link those data to create a longitudinal record that cannot exist within any single data source. Compass makes this data available to our partners through a range of means, from self-service de-identified cohort analyses to fully identified, line-level datasets suitable for advanced analytics.

REDCap is a secure web platform for building and managing online databases and surveys. REDCap's streamlined process for rapidly creating and designing projects offers a vast array of tools that can be tailored to virtually any data collection strategy.

Tableau is used to create visualizations to help understand and explore data with a drop and drag interface.Tableau is compatible with may data sources including SQL and Oracle databases as well as Excel and text files. Tableau reports can be published to the University's Tableau server for sharing and collaboration with the campus community.

Formstack is a very flexible online form building and data collection tool that can be used to accomplish a wide variety of tasks. There are three main areas of Formstack: 1. Form Builder: Select different types of fields and menus to design your form 2. Form Settings: Configure everything from notification emails to approval workflows and form security 3. Submissions Database. View, edit, export or manipulate the data which has been submitted via your form

Users are guided through a series of steps to create an online survey using one of several templates. Qualtrics displays survey results both graphically and statistically for analysis.

The Center for Innovative Design & Analysis (CIDA) is CU Anschutz's central study design and analytic resource. CIDA also conducts primary research developing new biostatistical and data science methods. The diverse group of biostatisticians, data scientists, and health economists is comprised of faculty members and graduate student apprentices primarily from the Department of Biostatistics and Informatics in the Colorado School of Public Health at the CU Anschutz Medical Campus. Not sure where to begin, just submit a request for a quick consult and a team member will help you find the right design and analysis resources for your needs.

Data visualization dashboards for Clinical Trials in OnCore

Standard file storage that is compliant, secure, highly available, reliable and meets regulations pertaining to business continuity practices. Provides an interface through mapped drives to easily store and share files with your team.

OneDrive provides online storage for every user within the University of Colorado. You can store, share, and sync your work files with individuals within CU and outside the university. Each user gets 5TB of file storage.

Data management solution for research labs. Useful for reviewing experimental results and securing the integrity of the institution's research data. It can be used to collaborate with other researchers on and off campus.

OnCore is a clinical trail management system for managing protocols, subjects, billing and biospecimens. The University of Colorado Anschutz Medical Campus (CU-Anschutz), University of Colorado Health system (UCHealth) and the Children’s Hospital Colorado (CHCO) use OnCore as a campus-wide platform to manage clinical research and facilitate fiscal and operational compliance.

The Microsoft Office 365 (0365) suite offers Microsoft Office software products including Outlook, OneDrive, Word, Excel, PowerPoint, OneNote, SharePoint, and Microsoft Teams.

CU Anschutz Digital Collections is the institutional repository of the University of Colorado Anschutz Medical Campus and its affiliates. CU Anschutz Digital Collections is managed by staff at the Strauss Health Sciences Library and hosted by a third party, Ubiquity Repositories. The Digital Collections collects, preserves, and provides access to digitized library collections, archives, current research, and other scholarly and creative works.

Eureka is a cloud-based analytics platform designed and managed by Health Data Compass to rapidly provision cloud-based, HIPAA-compliant virtual machines to data scientists and developers. This service enables our partners to access high-powered computational environments to service a variety of advanced analytics needs, from statistics and visualizations to bioinformatics processing, deep learning, and more. Eureka is built on the Google Cloud Platform.

The Anschutz Medical Campus has partnered with our sister campus in Boulder to provide high performance computing resources to researchers. Alpine is the University of Colorado Boulder Research Computing’s third-generation high performance computing (HPC) cluster. Alpine is a heterogeneous compute cluster currently composed of hardware provided from University of Colorado Boulder, Colorado State University, and Anschutz Medical Campus. Alpine currently offers 317 compute nodes and a total of 18,080 cores. CPU, GPU and High memory nodes are available in the cluster. Alpine can be securely accessed anywhere, anytime using OpenOnDemand or ssh connectivity to the CURC system.

EndNote is a citation management software that organizes references and reference-related materials (such as PDFs of articles) in a searchable personal library.

Health Data Compass enables access to UCHealth patient data in a fully de-identified, aggregated form, via the TriNetX website. TriNetX allows users to identify inclusion and exclusion criteria from a range of criteria collected in UCHealth's Epic medical record system, including temporal relationships. Users can then explore the resulting cohort stratified by a variety of demographic characteristics.

The SLCE service encompasses high performant Windows 10 or Linux systems running on server hardware housed in the Fitzsimmons datacenter on the Anschutz Medical campus. The server hardware can be tailored to the researcher’s compute needs including the type of central processing unit (CPU), amount of random-access memory (RAM) and disk configuration (type, speed, redundancy, and total storage). Additionally, systems in SLCE are designed to be fault tolerant and are configured with redundant hardware including dual network cards and power supplies.

As part of a new comprehensive data management plan, the Anschutz Medical Campus has partnered with Research Computing at the University of Colorado at Boulder to provide a new service for storing research data. This service is called the PetaLibrary - an enterprise storage offering for archiving research data that is infrequently accessed. The goal is to create efficiencies for data storage and reduce costs associated with storing large amounts of research data. This service is supported by grant funding from the National Science Foundation and has gained institutional support by over 50 researchers on the Boulder campus. Approximately 1.2PB to research data is currently archived in this service. The PetaLibrary can also be used to share large data sets with colleagues at other institutions and for transferring data that will be used for analysis on the Summit high performance cluster offered by Research Computing in Boulder.

The Clinical Research Informatics and Innovation Unit (CRIIU – pronounced “crew”) supports investigator-initiated research or innovation which requires integration and modification with Epic and other non-Epic clinical informatics innovations to increase the external funding of Anschutz and UCHealth investigators.

The University of Colorado Cancer Center (UCCC) Biostatistics and Bioinformatics Shared Resource (BBSR) supports analysis of cancer-related research. Our group provides biostatistical and bioinformatics expertise and services for laboratory-based research, experimental therapeutic studies, population sciences research, and clinical trials.

The Child Health Biostatistics Core provides biostatistics services to investigators involved in Child Health Research on the Anschutz Medical Campus. The Core provides study design, analysis, and other statistical services for Child Health Researchers and operates on a highly-subsidized business model. Please feel free to reach out to us for support or if you have questions

Google Cloud Platform (GCP) is a suite of cloud computing services. It provides a series of modular cloud services including computing, data storage, data analytics and machine learning. It also provides infrastructure as a service, platform as a service, and serverless computing environments.

Compass is a vital source of multi-institutional integrated data and analytic services designed to transform data-driven processes in clinical research, operational excellence, molecular discovery, and personalized medicine.

Creating robust and secure surveys for research studies, storing HIPAA and FDA regulated data related to research studies, managing data collected via REDCap online surveys.

Data visualization, interactive dashboards, predictive modeling, and live visual analytics.

Surveys, data collection, questionnaires

Create online surveys, predictive intelligence and statistical analysis.

Quick consultation, grant proposal development, short-term project analysis, and collaboration (FTE) on a funded grant or as a contract with your group.

Track protocols, team and monthly accruals, timeline trends, demographics breakdown.

File storage, file sharing, map network drive.

Store, update, and share files from any device, sync files across multiple computers, collaborate with people inside and outside the University of Colorado.

Store, organize, and share laboratory research data and protocols.

Enables users to manage all protocols and subjects in one place, supports clinical research billing compliance, simplifies data management and monitoring, easily tracks biospecimens throughout the entire life cycle, improves patient recruitment and tracks outcomes, automates the flow of information between systems.

Email, presentations, spreadsheets, store and share files.

Books and book chapters, journal articles, pre-prints, data sets, teaching materials and open educational resources, technical reports, posters and slide presentations, conference materials, projects and portfolios, departmental publications.

High-powered virtual servers, advanced analytics needs from statistics and visualizations to bioinformatics processing, deep learning, and more.

High performance compute for analysis of big data including images and bioinformatics analyses - genomic sequencing, RNAseq, ATACseq, scRNAseq, WGS, GWAS, spatial transcriptomics.

Cite references in word processing documents as you write to create formatted citations and bibliographies or independent reference lists. Synchronize references between your personal computers and devices. Collaborate and share a library with multiple co-authors and colleagues. 

TriNetX is ideally suited for high-level data exploration and feasibility analyses. Apply for access via the Compass De-identified Data Access Agreement. Cohorts generated in TriNetX can be re-identified by Compass along with providing data extracts specific to those cohorts.

High-performance analytics needs, Secure computing requiring CMS, HIPAA, or NIST 800-171 compliance, Working with big data or multiple large data sets, Offloading long-run workloads, Testing theories before scaling to the cloud or clustered environment, Replacing lab servers in a secured, managed environment, Centralizing critical research data

Archiving research data from projects that have been completed but must be saved for regulatory purposes. Archiving research data on storage devices attached to scientific equipment such as genomic sequencers and microscopy images devices. Archiving research data stored on local computers and network attached storage devices. Collaboration and sharing data with colleagues at other institutions. Transferring data to Boulder to utilize the Alpine high performance computing cluster.

CRIIU can assist at all stages of a project, from brainstorming through proposal writing and implementation. Build the Epic tools needed to support research interventions, including Flowsheets, BPA-alerts/triggers, note templates, care pathways, risk scores, Smartsets, etc. Build Epic integrations with outside tools and applications User-Centered Design (UCD) Implement randomization methods and A/B testing methods Ensure the data you need for evaluation is available

Project consultation, -omics analysis, statistical analysis, investigator-initiated clinical trials (IITs), and assistance with grants

Brief consultation (1 hour free for all projects), proposal and protocol development, short-term consultation and analysis paid per hour, longer term collaboration on FTE basis.

High-powered virtual servers, advanced analytics needs from statistics and visualizations to bioinformatics processing, deep learning, and more.

Highly Confidential

Highly Confidential

Confidential

Highly Confidential

Confidential

Public

Confidential

Highly Confidential

Highly Confidential

Highly Confidential

Highly Confidential

Highly Confidential

Public

Highly Confidential

Confidential

Public

Highly Confidential

Highly Confidential

Confidential

Highly Confidential

Highly Confidential

Public

Confidential

Easy

Moderate

Moderate

Easy

Easy

Advanced

Easy

Easy

Easy

Easy

Moderate

Easy

Easy

Moderate

Advanced

Easy

Easy

Easy

Easy

Moderate

Moderate

Advanced

Moderate

Health Data Compass

Amanda Miller

UIS Service Desk

303-860-4357

OIT Helpdesk

303-724-4357 (or 4-HELP)

OIT Helpdesk

303-724-4357 (or 4-HELP)

CIDA Admin

OnCore Admin

OIT Help Desk

303-724-4357

OIT Help Desk

Matthew Steinbeiss

303-492-5031

OnCore Admin

OIT Help Desk

Strauss Library AskUs

Health Data Compass

Research Compute Support

Strauss Library AskUs

Health Data Compass

School of Medicine – Anschutz Medical Campus

Research Compute Support

Rachel Zucker

303-724-9222

ccbiostatistics@UCDENVER.EDU

Kristen Miller (Operations Manager); Laura Pyle (Director, laura.pyle@cuanschutz.edu)

Office of Information Technology, Research Computing

Campus Supported Service

Campus Supported Service

Centrally supported - No Cost

Campus supported service

Campus Supported Service

Varies - Based on project scope and complexity

Campus supported service

$.025/GB/month$25/TB/month

Campus Supported Service

Campus supported services

Campus Supported Service

Campus Supported Service

Free - Library Supported Resource

Pay for services (based on usage)

No Cost (Centrally supported)

Free - Campus Supported Resource

Campus Supported Service

One-time and ongoing costs

$45/TB/yr (Pre-purchase minimum of 2TB required)

Project dependent

Depending on type of project, scope & UCCC status

Vaires

Pay for services (based on usage)