Carpentries Incubator on The Carpentries

Calling for Beta Pilot Workshops: Geospatial Data Carpentry for Urbanism

Tue, 21 Oct 2025 00:00:00 +0000

Researchers from the Department of Urbanism and members of the Digital Competence Centre at TU Delft have worked since 2023 on the curriculum Geospatial Data Carpentry for Urbanism, currently in The Carpentries Incubator.

This curriculum, inspired by the pre-existing Geospatial Data Carpentry, part of The Carpentries, was designed to introduce learners from the domain of urbanism to the use of R programming when analysing and visualising vector and raster data. It also introduces basic GIS operations using R. These skills are particularly relevant when working in the field of urbanism, but can be applied to other urbanism-related ones.

Calling for Beta Pilot Workshops: Building Better Research Software

Wed, 06 Aug 2025 00:00:00 +0000

We recently published a new version of Building Better Research Software, a lesson in The Carpentries Incubator designed to serve as a “next steps” workshop after Software Carpentry. Previously known as FAIR Research Software, the curriculum has undergone significant changes over the last few months, and we are now seeking Carpentries Instructors willing to teach it in their communities and provide feedback to further improve it.

Lesson Profile

Title: Building Better Research Software
Lesson site: https://carpentries-incubator.github.io/better-research-software/
Lesson repository: https://github.com/carpentries-incubator/better-research-software/
Teaching time: The lesson is designed to be taught in two full days or four half days

Learning Objectives

After following the lesson, learners will be able to:

Curriculum Advisors Approve Redesigned DC R Ecology Lesson

Wed, 27 Mar 2024 00:00:00 +0000

We are delighted to announce that a redesigned version of the Data Analysis and Visualization in R for Ecologists lesson has been approved for adoption into the Data Carpentry Ecology curriculum. The redesigned version will replace the existing lesson later this year. The Curriculum Advisory Committee previously published a call for Instructors to test the lesson and provide feedback, which includes a summary of the differences between the two lessons.

The new lesson lets learners dive into data visualisation much more quickly, letting you quickly appreciate the benefits of the lesson and enticing you to learn more about data storage, manipulation and analysis as the lesson progresses. The new structure of the lesson helps make it more approachable for beginners and more motivating for all learners, and has received great feedback from Instructors who have taught the lesson so far.

Beta Testing an Alternative Version of R Ecology lesson

Mon, 10 Jul 2023 00:00:00 +0000

The Data Carpentry: Ecology Curriculum Advisory Committee has approved a redesigned version of the Data Analysis and Visualization in R for Ecologists lesson for beta testing. Curriculum Advisors invite the Data Carpentry community to teach this alternative version of the lesson and provide feedback, to inform their discussions as they consider formally adopting it and replacing the current version in the curriculum.

About the Redesigned Lesson

The lesson was redesigned and developed by Michael Culshaw-Maurer in The Carpentries Incubator during his tenure in The Carpentries Curriculum Team as a post-doc at CyVerse.

IoT for Novices in South Africa

Wed, 07 Dec 2022 00:00:00 +0000

Originally posted on the Society of Research Software Engineering website, this blog post highlights an Introduction to the Internet of Things workshop hosted at Stellenbosch University, South Africa.

The Internet of Things (IoT) is one of the buzzwords that researchers would like to include in their research and grant applications, but few actually understand what it is. So, when I was asked by Kim Martin whether I could run a workshop at Stellenbosch University in South Africa to introduce a group of curious researchers to this thing they are hearing so much about I immediately agreed – as usual before completely thinking it through. I am not an IoT expert but merely an enthusiast that likes playing around with microcontrollers, sensors and computery things such as Raspberry Pis. I am also a research software engineer and I immediately saw an opportunity to introduce research software engineering to researchers – not only because the workshop is being presented by an RSE but also to tell them how an RSE can benefit their research.

Incubator Lesson Spotlight: R and the Tidyverse for Working with Data

Thu, 03 Nov 2022 00:00:00 +0000

The Incubator Lesson Spotlight highlights a lesson under development by our community in The Carpentries Incubator. In this edition, we look at the progress being made on the {{page.lesson_title}} lesson, and hear from the authors about how The Carpentries community can get involved with the ongoing development of this lesson.

Lesson Profile

Title: {{page.lesson_title}}
Lesson Pages: https://carpentries-incubator.github.io/r-tidyverse-4-datasets/
Lesson Repository: https://github.com/carpentries-incubator/r-tidyverse-4-datasets

Learning Objectives

To understand fundamentals of visualisation with ggplot2
To be able to subset and alter data for your needs
To be able to effectively alter the shape of data (pivoting)
To be able to summarise data efficiently

Target Audience

Anyone working with data sets that want to learn efficient ways of wrangling and visualising that data with R, using the tidyverse.

Incubator Lesson Spotlight: Introduction to Reproducible Publications with RStudio

Mon, 27 Jun 2022 00:00:00 +0000

Lesson Profile

Title: {{page.lesson_title}}
Lesson Pages: https://carpentries-incubator.github.io/Reproducible-Publications-with-RStudio
Lesson Repository: https://github.com/carpentries-incubator/Reproducible-Publications-with-RStudio

Learning Objectives

Get started with RStudio and learn about the advantages of using the environment in academic research and writing.
Build on research and analytical skills by learning how to create reproducible documents that combine code, analysis, and narrative.
Understand good practices for project organization, version control, and documentation as means to advance open science.
Develop a reproducible paper with provided data, code, and narrative.

Target Audience

Researchers, of any discipline and at any level, with interested in using Rstudio and learning good practices for reproducible research.