Online
Oct 7, 14, 21, 2026
2:00 pm EST
Instructors: Sonia Barbosa (Harvard University), Ben Chiewphasa (Columbia University), Natalia Estrada (University at Buffalo), Heather Charlotte Owen (University of Rochester), Scott Peterson (University at Buffalo), Sarah Siddiqui (University of Rochester)
Helpers: Sonia Barbosa (Harvard University), Ben Chiewphasa (Columbia University), Natalia Estrada (University at Buffalo), Heather Charlotte Owen (University of Rochester), Scott Peterson (University at Buffalo), Sarah Siddiqui (University of Rochester)
Registration: Please register through Zoom to attend the workshop.
Individual workshop descriptions can be found in the schedule below and on the registration page.
The Carpentries project comprises the Data Carpentry, High-Performance Computing Carpentry, Library Carpentry, and Software Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
Library Carpentry is made by people working in library- and information-related roles to help you:
Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct, which also outlines how to report an incident if needed.
The course is aimed at anyone who works with or are planning to work with qualitative data. It is free and open to the public. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
This is a series of Carpentries workshops put on by members of the Northeast Carpentries Community happening Wednesday afternoons in October that aims to teach participants basic concepts, skills, and two tools for working with qualitative data: Taguette and QualCoder.
This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
Oct 7, 14, 21, 2026; 2:00 pm EST Add to your Google Calendar.
Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
We are committed to making this workshop accessible to everybody.
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request accessibility support for this workshop, please fill out the accessibility support request form. If you have questions or need assistance with the accessibility support form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Carpentries workshops are designed to be interactive rather than lecture-based, with lessons that build upon one another. To foster a positive online learning environment, we strongly recommend that participants join in real time. As a result, workshop recordings are not recommended and may not be available to learners.
Please email sp277@buffalo.edu for more information.
For answers to frequently asked questions about workshops, refer to the Carpentries Workshop FAQ.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please fill out this survey before attending the workshop.
Fill Out the Pre-Workshop SurveyPlease fill out this survey before you leave the workshop.
Fill Out the Post-Workshop SurveyThis introductory workshop provides an overview of qualitative methodology and data interpretation. Participants will explore core practices for gathering non-numerical data (such as semi-structured interviews and focus groups) and practical techniques for thematic analysis and coding.
| Before Starting | Pre-workshop survey |
| 02:00PM | Introduction to working with qualitative data |
| 03:30PM | Post-workshop survey |
Learners will be introduced to and practice working with secondary qualitative data from the Qualitative Data Repository (QDR) in the free open-source qualitative data analysis (QDA) tool Taguette. We will annotate and analyze interview transcripts from a qualitative study and look at options for sharing your projects.
| Before Starting | Pre-workshop survey |
| 02:00PM | Open qualitative research with Taguette |
| 03:30PM | Post-workshop survey |
Learn to use QualCoder, a free and open-source qualitative coding and data analysis tool. This workshop will provide introductory training in the principles of deductive and inductive qualitative coding through practice with QualCoder.
| Before Starting | Pre-workshop survey |
| 02:00PM | Open qualitative research with QualCoder |
| 04:30PM | Post-workshop survey |
To participate in a Library Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
There is no setup or tools needed for the Introduction to working with qualitative data workshop.
For the Open qualitative research with Taguette workshop we will be using a free and open-source qualitative data analysis (QDA) tool called Taguette. Taguette helps researchers organize, annotate, and code textual documents. The setup instuctions and the data for this episode can be found here.
For the Open qualitative research with QualCoder workshop we will be using a free and open-source qualitative data analysis (QDA) tool called QualCoder. QualCoder helps organize, code, and analyze unstructured information such as text documents, images, audio, and video. The setup instuctions and the data for this episode can be found here.