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Thu 6 Feb 2020
10:00 - 12:00

Venue: Todd-Hamied

Provided by: Department of Chemistry


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Chemistry: IS4 Research Data Management

Thu 6 Feb 2020

Description

This compulsory session introduces Research Data Management (RDM) to Chemistry PhD students. It is highly interactive and utilises practical activities throughout.

Key topics covered are:

  • Research Data Management (RDM) - what it is and what problems can occur with managing and sharing your data.
  • Data backup and file sharing - possible consequences of not backing up your data, strategies for backing up your data and sharing your data safely.
  • Data organisation - how to organise your files and folders, what is best practice.
  • Data sharing - obstacles to sharing your data, benefits and importance of sharing your data, the funder policy landscape, resources available in the University to help you share your data.
  • Data management planning - creating a roadmap for how not to get lost in your data!

Lunch and refreshments are included for this course

Target audience
  • First year chemistry postgraduates
  • Further details regarding eligibility criteria are available
Sessions

Number of sessions: 1

# Date Time Venue Trainer
1 Thu 6 Feb 2020   10:00 - 12:00 10:00 - 12:00 Todd-Hamied C.M. Castle
Objectives

After attending this session chemistry PhD students will be able to:

  • Identify what problems might lead to data loss and start thinking of what to do to avoid disaster.
  • Understand what RDM is and why it is important.
  • Evaluate their current file organisation and learn how to improve it.
  • Understand how data sharing is valuable to everyone.
  • Identify the obstacles to data sharing, but also its benefits.
  • Understand the theory behind and importance of data management planning and start creating their own plans.
  • Know where to find information on open data compliance with funders' open data policies.
  • Know where to go for support with their file organisation and backup.
  • Upload their data to the University's repository.
Aims
  • To introduce chemistry PhD students to the principles of RDM and give them the skills they need to organise and share their data safely and efficiently.
  • To inform chemistry PhD students about how to comply with funders' requirements regarding open data and where they can go for support when organising and sharing their data.
Duration
  • One session of two hours
Frequency
  • Five times per year
Related courses
Themes

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