Training researchers for a software and data-intensive world with Edinburgh Carpentries

This is guest post from Giacomo Peru and the EdCarp Committee (https://edcarp.github.io/committee/). Sections of this post were published previously on the EPCC blog.

EdCarpLogo

EdCarpLogo

The Edinburgh Carpentries (EdCarp) is a training initiative, which offers the Carpentries computing and data skills curriculum in Edinburgh. The workshops train researchers on fundamental skills needed for conducting efficient, open, and reproducible research. The EdCarp team comprises staff and student volunteers from across disciplines, academic units, and career stages.

Since 2018, EdCarp has organised 25 workshops across the academic institution, training over 300 staff and students in data cleaning, manipulation, visualisation and version control methods using tools such as R, python, Unix shell, Git, SQL and OpenRefine. Courses are free to participants and are oversubscribed very quickly. We are now rolling out our 2020 schedule and announcing workshops.

EdCarp are working to establish collaborations with other organisations, external and internal to the university: the Scottish Funding Council, the Institute for Academic Development and the Data Driven Innovation programme.

EdCarp can work with your academic unit or doctoral training program to help promote the fundamental data skills that your colleagues need.

A crucial aspect of EdCarp and their training model is the participation and voluntary commitment of the community, where trainees go to become helpers, helpers to instructors and so on.  EdCarp are always looking for new people willing to help, in any capacity; please sign up here if you would like to be kept updated and/or get involved: https://eepurl.com/gl4MsX.

 

Data Carpentry Workshop, Spring 2018

Following on from the success of previous Carpentry workshops we have hosted, the Research Data Support team organised another two day Data Carpentry workshop on 12th /13th June 2018 in the David Hume Tower teaching studio.

Students at work on the Data Carpentry workshop held in David Hume Tower teaching studio.

Data Carpentry workshops focus on introductory computational skills needed for data management and analysis in all domains of research. If you have never heard of ‘Data Carpentry’, ‘Software Carpentry’ or ‘the Carpentries’ we suggest you go take a look around the Data Carpentry and Software Sustainability Institute websites. While the ‘Data Carpentries’ follow a similar theme, the lessons can vary between different workshops, depending on the level of the learners and their requirements. The topics covered were:

  • Data Cleaning with OpenRefine
  • Programming and Data Visualisation with R
  • Relational DataBases and SQL

All the sessions received positive feedback from students on both content and delivery. The headliner for the workshop was undoubtedly the R programming: two R sessions delivered over Tuesday afternoon and Wednesday morning by the lead instructor Edward Wallace. Edward is based at King Buildings and uses R in his own research into RNA-protein interactions. He is clearly a great teacher as the feedback on these sessions indicated it was really well delivered and the pace of the course was just right. That is not easy to do when you have such a wide range of students from all disciplines.

This course was fully booked within a few hours of being advertised and there remained over 50 people registered on the waiting list indicating the demand for these data handling courses. The overwhelming feedback from the course was “more R training please!”. Keep a lookout for advertising on the RDS website and the university Events booking as more Carpentry training is on its way!

Thanks from the Research Data Support team to all the excellent helpers and trainers for making this event possible. All the trainers and helpers for this workshop were Edinburgh University staff.

Some of the students, teachers and helpers on the June 2018 Data Carpentry Workshop.

Trainers: Edward Wallace, Giacomo Peru, Manos Farsarakis, Lucia Micheilin.

Helpers: Rosey Bayne, Sean McGeever, Mario Antonioletti, Daniel Robertson, Evgenij Belikov, Jennifer Daub.

This workshop was organised in collaboration by Research Data Service, EPCC, ARCHER and the Software Sustainability Institute.

Jennifer Daub
Research Data Support
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