Chemistry: Research Data Management for Chemistry PhD students New
Fri 31 Jul 2015
Description
This 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
Postgraduates.
Sessions
Number of sessions: 1
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Fri 31 Jul 2015 12:00 - 13:30 | 12:00 - 13:30 | Department of Chemistry, Todd Hamied Room | map | Marta Teperek, Dr Danny Kingsley |
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.
Format
Presentations, demonstrations and practical sessions.
Duration
One session of 90 minutes.
Frequency
A number of times per year.
Booking / availability