# Computing Environments ## Stronghold A core component of the URSA Initiative is Brown's Stronghold. Stronghold is a secure computing and storage environment that enables Brown researchers and associates to analyze sensitive data while complying with regulatory or contractual requirements. Stronghold is maintained by the Brown University's Center for Computation and Visualization ([CCV](https://ccv.brown.edu/)) in the Office of Information Technology ([OIT](https://it.brown.edu/)). To learn more about Stronghold, you may refer to CCV's [Stronghold Documentation](https://docs.ccv.brown.edu/stronghold). ### URSA Stronghold URSA Stronghold is one of the research "tenants" within Stronghold. It is collaboratively managed by CCV, the Brown Center for Biomedical Informatics ([BCBI](https://bcbi.brown.edu/)), and the Biomedical Informatics, Bioinformatics, and Cyberinfrastructure Enhancement ([BIBCE](https://advancectr.brown.edu/research-services/informatics-implementation-science)) Core of [Advance RI-CTR](https://advancectr.brown.edu/). URSA Stronghold offers both Linux and Windows computing platforms; database management systems such as Microsoft SQL, PostgreSQL, and MySQL; and, a broad range of data analysis tools including Julia, Python, R, SAS, and Stata. Researchers may work within the URSA tenant or request their own dedicated Stronghold tenant. Refer to Brown CCV's documentation for more information about available features and how to [request a Stronghold tenant](https://docs.ccv.brown.edu/stronghold). ## Oscar Oscar (Ocean State Center for Advanced Resources) is Brown University's high performance computing cluster. Oscar is maintained and supported by Brown's Center for Computation and Visualization ([CCV](https://ccv.brown.edu/)). ## Data Storage at Brown Brown’s [Data Risk Classifications](https://it.brown.edu/policies/data-risk-classifications) are used to determine data access and storage options. Stronghold is the institutionally-designated environment for Risk Level 3, identified datasets that include protected health information ([**PHI**](https://docs.bcbi.brown.edu/codiac-for-health/observational-research/best-practices/protected-health-information-phi)) or personally identifiable information (PII). With approval from the data provider, researchers may leverage Brown's [Oscar](https://docs.ccv.brown.edu/oscar) high-performance computing environment or other Brown-managed computers for the storage and analysis of [de-identified](/codiac-for-health/observational-research/best-practices/protected-health-information-phi.md) (Brown Risk Level 2) datasets. In addition, Brown’s [File Service for Researchers](https://docs.google.com/document/d/1GiUyKqo6sk9c00tOAkR3Q_GBlBhGs2Ob8EO6pYneNDc/edit) can be used for storage of de-identified data and other research files. Data analysis is initiated "locally" on a researcher's computer while the data remain secure. ## Resources ### Links * [Brown OIT Data Risk Classifications](https://it.brown.edu/policies/data-risk-classifications#:~:text=Brown%20has%20classified%20its%20information,protect%20it%20against%20unauthorized%20access.) * [Brown CCV Computing](https://ccv.brown.edu/services/computing/) * [Stronghold Documentation](https://docs.ccv.brown.edu/stronghold) * [Oscar Documentation](https://docs.ccv.brown.edu/oscar) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.bcbi.brown.edu/codiac-for-health/ursa-ri/computing-environments.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.