Bringing data to life Data management for the biomolecular sciences

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Last reviewed: August 2020


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Most researchers know that data management is essential for getting the most out of your data. But what exactly is it and how do you ensure that you’re managing your data well?

This course, focused around a series of webinars, introduces key concepts in data management and how to apply them in your research.

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Who is this course for?

This course is aimed at biological researchers who are working with, or managing data and those who need to create data management plans. No prior knowledge of bioinformatics is required but an understanding of biology and biological research would be an advantage.

What will I achieve?

By the end of the course you will be able to:

  • Describe the data management cycle
  • Discuss benefits and challenges of data sharing
  • Explain what happens to data after it is shared
  • Identify appropriate data repositories and their submission requirements
  • Describe how ontologies and standards are used to annotate biological data
  • Identify appropriate resources and tools for data management

What resources do I need?

There are no specific resources required to complete this course.

DOI_disc_logo DOI: 10.6019/TOL.Data_Management-w.2018.00001.1

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