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Research Data Management (RDM): Data Analysis Tools & Software

Welcome

Welcome to the Unisa Research Data Management LibGuide. This guide is designed to help you manage your research data effectively throughout the research lifecycle. Whether you are a student, an academic across all colleges, or a researcher, you will find valuable information, resources, and tools to help you with data planning, collection, storage, sharing, and preservation.

What  you will find here:

  • Guidelines and Best Practices: Learn about the principles of good data management and how to apply them to your research.
  • Tools and Resources: Discover software and services available to assist you in managing your data.
  • Support and Training: Access workshops, tutorials, and one-on-one support to enhance your data management skills.
  • Policies and Compliance: Stay informed about UNISA's data management policies and relevant legal and ethical considerations.

We encourage you to explore the guide and make the most of the resources provided. If you have any questions or need further assistance, please do not hesitate to contact Dr Tinyiko Dube.

Data Analysis and Software

The Unisa Librarians do not assist with the analysis of data nor the training in the various data software packages.

Please contact The School of Interdisciplinary Research and Graduate Studies (SIRGS)

Details on training courses offered by SIRGS

For the analysis of data, please contact the SIRGS and ask about the High Performance (HPC) initiative 

The following software packages are available to registered Unisa researchers.  Availability is dependent on the Unisa campus license agreement.  Your research supervisor or Unisa ICT should be able to provide you with more information.