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Wed 4 Nov 2020
13:00 - 14:00

Provided by: Cambridge University Libraries


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Managing quantitative data (in collaboration with Cambridge Data Champions)

Wed 4 Nov 2020


Where on Earth is that file from two years ago? Can I share this personal data? I heard that my funder has specific requirements, what are they?

If you've asked these or similar questions, you're not alone. Data management is a key skill for researcher but many start new projects without thinking through these issues properly. Following this session you will be a well-informed data steward, making sure that you store, organise and share your data appropriately all the way through your projects.

This is a blended session: you will find out about the basic elements of good data management in your own time, then join one of the Cambridge Data Champions who will share her experiences and tips for data management during a live session.

The live session will take place remotely using Microsoft Teams. Joining instructions will be provided in your booking confirmation email. Please note that the session may be recorded, by booking a place you consent to the recording taking place. If you have any questions about this, email

Target audience
  • Researchers
  • PhD students

Before the live session on 7 October, explore the basic elements of Research Data Management on this page: Consider how you would apply this to your work and bring any questions to the live session.


Number of sessions: 1

# Date Time Venue Trainers
1 Wed 4 Nov 2020   13:00 - 14:00 13:00 - 14:00 Dr B. Gini,  Sacha Jones,  Ulla Sovio

You will learn:

  • how to store and backup up data
  • how to organise data
  • what to do with protected data (personal or commercially sensitive)
  • why sharing data is important and how to do it
  • how to write a Data Management Plan

Participants are encouraged to review these resources ahead of the session: The live session on 4 November will be a discussion with Sacha Jones and Ulla Sovio, with an opportunity for participants to ask questions.


Independent learning - around 1.5-2 hours. Live webinar - 1 hour.

CUL Research Skills

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