While You Were Away: New Working With Data Curriculum

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.

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
This entry was posted in archive & research collections, doctoral students, events, impact, new resources, postgraduates, staff news, training sessions, website. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s