> For the complete documentation index, see [llms.txt](https://docs.ccv.brown.edu/storage-and-transfer/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ccv.brown.edu/storage-and-transfer/campus-file-storage/overview.md). # Overview The Office of Information Technology (OIT) at Brown University delivers Storage services that are designed to meet the diverse needs of students, faculty, staff, university departments, and researchers at Brown. Campus File Storage offers a fast, reliable, and secure solution for storing and sharing data of all sizes, from small files to large datasets. Optimized for both general community use and research computing, this system is built to handle substantial data capacities, ensuring it meets the demands of Brown’s researchers and campus departments. Data stored on Campus File Storage can be easily accessed by mapping the drive on your computer, whether you use Windows, Linux, or Mac. The system offers several tailored storage options to meet specific needs: * **Departmental Use**: Most departments have a shared drive, also known as 'Departmental File Services (DFS),' where files can be shared with other department members. The storage quota is customized to meet the needs of each department. * **Research Use**: Research shares offer larger allocations for research data and are accessible from edge devices and computing labs across campus. They are also seamlessly integrated with our High-Performance Computing cluster, Oscar, to support research computing. Data stored in research shares can be shared with both on-campus and off-campus collaborators. * **Multimedia Use**: This area is specifically dedicated to storing the University's multimedia assets. Besides the above-mentioned general-purpose shares, more restricted storage environments are also provided for data-compliance needs. OIT-Storage also provides services like Globus (File transferring tool), Starfish (Metadata management tool), and Hibernate (Archive Service). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.ccv.brown.edu/storage-and-transfer/campus-file-storage/overview.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.