Key Information

Tutor: Wayne Peters & Camille Regnault (Library Services)
Course Level: Level 1
Course Credit: 1 creditMode of Delivery: MS Teams
Maximum Course Capacity:


There are no further sessions taking place this academic year. Course dates for 2024-25 will be available to book from late September.

Data is a key research asset, underpinning almost all published research conclusions. In recent years, new technology has enabled us to:

  1. Generate and record far more data than ever before; and
  2. Share, reuse and combine that data in new ways to generate new insights.

Research data is increasingly a first-class research output, and a little bit of planning will enable you to take advantage of this shift.

This course will highlight the key considerations for students and researchers to help them assess when it is appropriate to share your data and how, and how to write a data management plan.

Learning Outcomes

On completion of this workshop you will be able to:

  • Organise, document and safeguard data in a straightforward research project
  • Identify areas where you need additional help managing your data
  • Explain the benefits of sharing research data and reasons it might not be appropriate to do so
  • Assess what data you need to archive for the long term and why
  • Choose where to deposit your data for preservation and, optionally, sharing

How to Book

Please select a date and book on via Inkpath using your Imperial Single-Sign-On.