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!
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
- Chemistry: IS1 Library Orientation
- Chemistry: IS3 Research Information Skills (Online Course Using Moodle)
Themes
Booking / availability