The Research Data Service hosted back to back 2-day workshops in the Main Library this week, run by the Software Sustainability Institute (SSI) to train University of Edinburgh researchers in basic data science and research computing skills.
Software Carpentry (SC) is a popular global initiative originating in the US, aimed at training researchers in good practice in writing, storing and sharing code. Both SC and its newer offshoot, Data Carpentry, teaches methods and tools that helps researchers makes their science reproducible. The SSI, based at Edinburgh Parallel Computing Centre (EPCC), organises workshops for both throughout the UK.
Each workshop is taught by trainers trained by the SC organisation, using proven methods of delivery, to learners using their own laptops, and with plenty of support by knowledgeable helpers. Instructors at our workshops were from Leeds and EPCC. Comments from the learners – staff and postgraduate students from a range of schools, included, ‘Variety of needs and academic activities/disciplines catered for. Useful exercies and explanations,’ and ‘Very powerful tools.’
Lessons can vary between different workshops, depending on the level of the learners and their requirements, as determined by a pre-workshop survey. The Data Carpentry workshop on Monday and Tuesday included:
- Using spreadsheets effectively
- Introduction to R
- R and visualisation
- Databases and SQL
- Using R with SQLite
- Managing Research & Data Management Plans
The Software Carpentry workshop was aimed at researchers who write their own code, and covered the following topics:
- Introduction to the Shell
- Version Control
- Introduction to Python
- Using the Shell (scripts)
- Version Control (with Github)
- Open Science and Open Research
Clearly the workshops were valued by learners and very worthwhile. The team will consider how it can offer similar workshops in the future at a similarly low cost; your ideas welcome!
EDINA and Data Library
Nice blog article. I was one of the instructor at both these courses and wrote my own brief blog article, see: