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Arcus
Arcus is an information platform developed to support researchers through every phase of the research lifecycle providing access to CHOP clinical and research data and data analysis tools in a customized computing space. Any data in the Gene Data Catalog can be used in an Arcus lab.
How Arcus Supports You Throughout the Research Data Life Cycle
Discover
Explore available data for your research using Arcus data discovery tools
Plan
Work with the Arcus Library Science team for NIH Data Management Planning support and view resources on defining your project cohort and aims.
Collect
After a comprehensive data assessment by our team, you receive the data for your defined cohort in a secure Arcus Computational Lab. Additional core service teams (CRU, DSBU, TRIG) are sometimes needed for the project based on the data assessment.
Analyze
Perform data analysis in your team’s customized Arcus computational Lab environment with data analysis tools including RStudio, Conda environments, SQLPad, Jupyter Notebook, 3D Slicer, Stata, and more.
Share
Arcus assists researchers with organizing, annotating, preserving, and sharing research data in accordance with recommended practices.
Learn
Arcus Education provides training and guidance to empower CHOP researchers and others who want to learn about Arcus or acquire skills related to data analytics and data science.
Additional Arcus Services
Natural Language Processing
- Annotate clinical notes and other unstructured text to train machine learning models to extract structured data.
- Use NLP-Derived Human Phenotype Ontology Annotations on Clinical Notes or bring your own term dictionary for custom NLP analyses on any clinical text.
Geographic Information Systems (GIS)
- Use geographic information systems to gain insight on the environments where patients live.
Actigraphy
- Arcus Actigraphy service provides a standardized and modular data processing solution specifically designed for actigraphy data.
Contact us for more information on these services.

The new NIH data management and sharing policy becomes effective January 25, 2023. ALL grant applications or renewals that generate scientific data must now include a detailed Data Management and Sharing Plan (DMSP). Arcus provides templates and guidance documents to help you prepare your plan.
- December 7, 2022 - View the presentation
- January 12, 2023 - View the presentation
- January 12, 2023 - View the presentation slides
Request a consultation (Sessions are 30 minutes) for NIH data management and sharing policy-related questions, or email Arcus Library Science supervisor bellehe [at] chop.edu (Ene Belleh) for assistance.