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:

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- 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.
Doctoral students can book onto these courses via the the DoctoralSkills Moodle course: Working with data. Staff can book through the Academic Staff Development events page.
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




















We are pleased to announce that you now have access to The Economist Historical Archive. You can access this digitised archive by searching the library catalogue, or you can access it directly by clicking 
