Section 5: Library & Research Data Management Help

Introduction

This micro-course provided a brief introduction to research data management responsibilities, trainings, and resources. However, you may still have questions or want additional information. This page contains a list of campus resources we have covered in this course as well as information about campus experts who can provide assistance.

Library Support

Person taking a book from a shelf

During your time at UW-Madison the Libraries can support you as you explore what kind of research interests you and seek out information. The libraries have a wealth of resources and services available to help you. The following are example of how the libraries can assist you:

  • help you discover and access information and materials
  • assistance with choosing and using disciplinary databases and other tools
  • help you evaluate and organize your information sources
  • and more

If you have any questions, use the Library help services, including chat.

Research Data Management Help

Research Data Services

Research Data Services is an interdisciplinary organization committed to advancing research data management practice on the UW-Madison campus. We focus on providing researchers with the tools and resources that support their efforts to store, analyze and share data. If you’d like to learn more about research data management, visit the Research Data Services website which has a specific guidance on research data management practices as well as resources for developing a data management plan.

Data Science Hub

Data Science Hub logo

The Data Science Hub collaborates closely with campus partners to provide data science training and implementation across campus. Data Science Hub facilitators can recommend learning pathways and project strategies, and liaise contacts with collaborators and data science experts. You can bring your questions and get help during their office hours which are currently held virtually on the Data Science Hub Slack channel. You can find more information at the Data Science Hub website.