Data and Computing
Reference resources, offices, and support services related to data management, big data, and research computing assistance.
Data management and storage
Data management
Visit the Libraries’ data management resources for templates, checklists, webinars, and other resources for data management needs.
Or review our Data Management page for additional resources about properly working with and managing data at the University.
Data storage
Access the University of Rochester Research Repository (URRR), Figshare, the University’s institutional data repository to deposit scientific data, papers, and presentations to help meet the requirements of funding agencies and to make data more easily accessible to the global research community.
University IT also provides a comprehensive list of approved data storage solutions for all researchers.
Computing technology
The Center for Integrated Research Computing (CIRC) provides researchers across the University with hardware, software, training, and support necessary to utilize computational and data analytics technology in research.
Need additional computing services for big data analytics or cloud computing? There are additional resources available through University IT
Specific solutions
Utilize LabArchives, an electronic lab notebook, to help organize and manage your research data safely and quickly.
Our office, in conjunction with the Clinical & Translational Science Institute (CTSI), offers a data de-identification service for the University research community.
Access the Data Rescue Project, a coordinated effort among a group of data organizations, including IASSIST, RDAP, and members of the Data Curation Network, that serves as a clearinghouse for data rescue-related efforts and data access points for public US governmental data that are potentially at risk.
The Genomics Research Center (GRC) provides core laboratory support, technical consultation, assistance with experimental design and data analysis for investigators using high-throughput genomic sequencing, genotyping and gene expression in their research programs.