This is the third in a series of posts highlighting key Library developments ‘while you were away’ over the summer.
Research services: Opening up, promoting and preserving the University’s research
Our Library Research Services team have been busy this summer, working with and developing new services to support the University’s research community:
- Helping researchers to make their work open access for maximum impact (and in readiness for the upcoming Research Excellent Framework).
- Providing expertise in the management of research data, including developing a series of range of new ‘working with data’ workshops.
- Curation and publication of research data via our Research Data Archive.
- Helping researchers to make responsible and effective use of publication, citation and collaboration data to evidence strengths, inform publication strategies and make connections.
- Developing, curating and promoting the use of our archives and special collections to support learning, teaching and research.
Find out more at: https://library.bath.ac.uk/research-services
New ‘Working with data’ curriculum for all researchers
The Library’s Research Services in collaboration with James Grant from Advancing Research Computing have developed a new ‘Working with Data’ curriculum for all postgraduate researchers and staff.
- Introduction to Linux
- Introduction to programming in Python
- Version control with Git
- Introduction to testing (in Python)
- Working with data and plotting (in Python)
- Now Code (in Python)
- Functions and classes in Python
- Libraries and modules in Python
- Collaborating, testing and CI (in Python)
- Performant Python (course began 23 September 2019)
- Introduction to LaTeX for doctoral students (and staff)
- LaTeX refresher course
- The 4 Ps of research data management: Plan, Protect, Publish and Promote
- Writing your data management plan for non-sensitive data
- Writing your data management plan for human participant data
- Data organisation in spreadsheets: making your data work for you
- Introduction to SQL for data manipulation
- Introduction to R and RStudio for descriptive statsitics
- R and RStudio for data cleaning and visualisation
- Managing human participant data
- Archiving, publishing and sharing your research data: non-sensitive data
- Archiving, publishing and sharing your research data: human participant data