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Compute Infrastructure

Local and cloud computing for research accounts, scalable and customizable across a range of secure environments, with a range of quantitative and qualitative software resources. 

  • Compute infrastructure

CCSS Compute Infrastructure Is...

CCSS Research Support provides computing accounts in a Windows remote-access environment with a wide range of software available directly to each account holder. Server configurations range from a shared computing model to dedicated cloud-based options. Our computing environment is recognized internationally for its range of security capabilities to meet individual requirements.

These resources are available to current Cornell faculty researchers, students, staff and collaborators, for research use only, based on member college approval.

Software

A wide array of software applications are pre-installed for access to support both quantitative and qualitative methods. Assistance is available via the CCSS-RS HelpDesk and software FAQs, while hands-on training is available at our free workshops.

Hardware

CCSS-RS offers many options of hardware configurations for use in a shared computing model or dedicated cloud-based environment. Software requisites and your research needs, will determine the amount of memory (RAM) and whether the system will have CPU or GPU processors available. In addition to offering compute power and statistical applications, CCSS-RS also provides each account holder with private data storage, shared storage for team collaboration and daily backups for all of your research data.

Depending upon your data security requirements, CCSS-RS offers computing systems ranging from a standalone desktop (no internet) to remote access from anywhere in the world. Hardware configurations are based upon the data provider’s predefined security requirements.

See CCSS policies for further information.

Research Accounts

Use the CISER Account Management application to apply for a CCSS-Research Support computing account.

Secure Data Services Accounts

For an account in one of the restricted-access environments, contact CCSS Research Support.

User and Security Guides

  • Research Support Computing Account User Guide

    Help Center

  • Selecting the Appropriate Level of Technical Security

    Below is a classification table to assist you with identifying the type of data that is appropriate for a CCSS-RS account. Data that are confidential, restricted, sensitive or proprietary CANNOT be used on the RSCH servers, and must be used on the CRADC Secure Data servers.

    Information and differences between research and CRADC servers.
    RSCH servers CRADC Secure Data servers
    No individual identity can be deduced directly or indirectly Detailed characteristics are present and identifiable
    Public use data Data are not publically available
    Non-identifiable variables Individual identifiers such as name, address, specific location are present
    Data provider agreement not required Data provider requires a use agreement
    No restrictions or terms and conditions controlling use by members of the Cornell community Terms and conditions controlling use of the data

    When your research data do not have specific security requirements (Public Use Data):

    • The hardware is comprised of a group of high-performance multi-processor virtual servers running Windows 2016.
    • The servers are remotely available to users with CCSS-RS computing accounts, which are available to Cornell faculty, students, and staff.
    • Once connected, a variety of quantitative and qualitative data analysis software is available.
    • Private data storage and shared storage for team collaboration is made available to all computing accounts, along with daily backups for all of your research data.

    When your research data have specific security obligations (Secure Data):

    • Most of the above, based on your Data Provider Agreement, and
      • Two-factor authentication,
      • Controlled file transfer and data disclosure proofing,
      • No connection to the outside world via FTP, e-mail, Web, print, or disk mapping facility,
      • Strictly enforced protocols for selecting and changing user passwords.

    If after review of this classification you are unsure what account type you need, please contact CCSS-RS for assistance.

  • Secure Data Environments

    • The majority of restricted data can be remotely accessed using the CRADC computing environment, which securely houses a vast range of restricted and confidential data. CCSS Secure Data Services team will guide you through the process of establishing your project on CRADC.

    • The Secure Standalone Enclave is used for restricted data that must be contained within a non-networked environment with no printing or data transfer abilities in a locked room.  CCSS Secure Data Services team will help to implement your research project on the Secure Standalone data Enclave to meet the most restrictive data provider requirements.

    • The FSRDC, located at 391 Pine Tree Rd. (CCSS), is a secure facility managed by the U.S. Census Bureau that provides secure access to confidential internal use files from various federal statistical agencies for statistical purposes only. To inquire about the proposal process and use of the Cornell FSRDC, please send an email to CornellRDC@cornell.edu.

    • Institute for Employment Research (IAB) of the German Federal Employment Agency

      Use requires the development and approval of a proposal.

      Access to restricted German Federal Employment Agency data is available in person at the IAB Research Data Center (IAB-RDC) located in CCSS-RS building at 391 Pine Tree Road. Access to confidential administrative microdata is provided through a thin client connection directly to the IAB servers in Germany. Please contact Secure Data Services for coordinating your access to the IAB-RDC.

Need Additional Support? Let Us Help!

View our comprehensive list of services below:

Other Related Computational Services at Cornell

Cornell’s Center for Advanced Computing offers:
Computer labs on campus offering statistical, GIS, and other specialized software:
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