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Creating a comprehensive Data Management Plan (DMP) is essential for ensuring the effective handling, sharing, and preservation of research data. While the guidelines provided here offer a solid foundation, always start by considering the specific requirements of your project sponsor and any Institutional Review Board (IRB) protocols.

Remember, your DMP should be a dynamic document, adaptable to changes in data size, type, and personnel throughout the project. Key components include identifying responsible investigators, describing data sources and formats, detailing storage and access protocols, and planning for long-term data archiving and potential re-use.

Get to know the structured process for maintaining data integrity, security, and compliance with relevant standards and requirements!

Data Management Plan

KSU is dedicated to advancing research computing with its High-Performance Computing (HPC) facilities. As of Fall 2023, KSU's HPC cluster offers substantial computing power with numerous nodes, CPU cores, and GPU capabilities. This robust infrastructure supports a wide range of academic fields with many software programs and facilitates seamless data sharing through high-speed connections to Internet2.

Secure on and off-campus access, along with advanced storage and cooling systems, ensuring reliable and efficient research computing for KSU faculty and their teams. Learn more about Computing Research facilities and stay up-to-date with new statements made.

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Our FAQs operate as a helpful guide that provides essential information for navigating the research process happening at CRC. From understanding the new DUO authentication for SSH sessions to accessing HPC resources, resolving common connectivity issues, and requesting software installations, these FAQs cover everything you need to effectively utilize KSU鈥檚 HPC cluster.

Whether you're a faculty member, student assistant, or non-KSU research collaborator, this resource will help you get started, connect to the cluster, manage files, run jobs, and seek technical support.

frequently asked questions

- The Extreme Science and Engineering Discovery Environment concluded formal operations as a National Science Foundation (NSF) funded project on August 31, 2022.
Find out more about similar services at the  website. 

 

 - KSU's digital repository of the intellectual and creative output of the university community. Research and scholarly material included here have been selected and deposited by the individual departments and centers on campus.

 

- KSU is a member of Internet2 which is a not-for-profit organization committed to advancing research and education.

High Performance Computing (HPC) involves using a powerful cluster of server-class computers to tackle advanced computational problems. The HPC infrastructure at KSU comprises approximately 70 interconnected servers, offering diverse environments to support various research needs. Key features include CPU and GPU nodes, high memory resources, and robust storage options.

This comprehensive guide provides essential information for getting started with HPC at KSU, including access requirements, available resources, and quick start guides for various tools and programming languages. Faculty members can request access and sponsor accounts for students and guests, ensuring a seamless research experience.

For additional support, the KSU service desk is available to assist new and returning users!

quickstart guides

 is designed to simplify the transfer of statistical data between different programs.  

Stat/Transfer will automatically read statistical data in the internal format of one program and will transfer as much of the information as is present and appropriate to the internal format of another.

If you need data converted, the Office of Research has purchased Stat/Transfer and we can assist in transforming data. Contact Tom Boyle at tboyle@kennesaw.edu.

Stat / Transfer Will Support These File Types:

In addition, for data archiving and exchange, Stat/Transfer will write ASCII data together with programs to read the data back into SAS, SPSS, and Stata. It also supports its own, easy to use, Schema format for reading in external data in ASCII format.

KSU has specialized hardware and software available to KSU researchers and their teams.  

• KSU maintains a High Performance Computing Cluster
  •  Separate queues for CPU, GPU, and High Memory jobs.
    • View a list of available .
• There are over 200 pre-configured software titles.
  • Popular titles include: R, Gaussian, COMSOL, TensorFlow, LAMMPS and MAFFT
    • View the full .
• Custom server solutions for security or special data needs.
• SHPC is a separate set of hardware available for student/classroom use.

To request support for these resources, please contact the  by calling (470) 578-6999 or sending an email to service@kennesaw.edu.