Qualitative Data Bootcamp: Clean Collection, De-identification, and Analysis Basics In-Person
Want some focused skill development time for your qualitative practice? Get ready to take care of and analyze qualitative research data: interview transcripts, surveys oral histories, focus groups, field notes, artistic expression, photovoice and more. Qualitative methods let us understand lived experiences and motivations, see a research question from different standpoints, and highlight contexts.
This bootcamp is for those trying to get a qualitative research project off the ground who would like support on different aspects across the research lifecycle. Starting with Data Management Planning, we will discuss data management during collection, qualitative data analysis fundamentals such as conducting the analysis, and end with effective ways of sharing data and communicating results. These tangible actions will work alongside more advanced questions about ethics and uncertainty.
We’ll practice hands-on with de-identification and open-source tools such as QualCoder for qualitative data analysis and introduce some techniques that can be used. Participants are not expected to have any prior knowledge of these tools when coming into the workshop. There will be both case studies as well as opportunities to work on your project and receive feedback in the moment.
This session is great for qualitative researchers across all faculties, especially those working in Health Sciences, Social Sciences, and the Humanities. Whether you're new to qualitative methods or looking to deepen your approach, you'll find practical tools and insights to support your work.
By the end of this session, participants will be able to:
- Describe and contrast different qualitative data methodologies and be able to pick the most appropriate one for their project
- Prepare to record quality audio and develop a workflow for mixed methods data
- Apply some basic qualitative data analysis techniques using Taguette
- Experiment with de-identification, recording, and transcription
- Locate resources for data deposit and sharing of qualitative data and compare and contrast benefits and challenges
Details: Any preparatory work for the session can be found on its information page. This workshop will not be recorded.
Certificate Eligibility: This workshop is eligible for the Sherman Centre's certificate program. For more information, visit scds.ca/certificate-program. It is also eligible for the Canadian Certificate for Digital Humanities. To learn more, visit ccdhhn.ca or contact scds@mcmaster.ca.
- Date:
- Tuesday, May 18, 2027
- Time:
- 1:00pm - 4:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Sherman Centre for Digital Scholarship (1st Floor, Mills Library)
- Audience:
- McMaster + Community
- Categories:
- DMDS DRI Training SCDS Sponsored Events Workshops
CODE OF CONDUCT
The Sherman Centre and the McMaster University Libraries are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour.
We strive to make this event accessible to everyone. Where possible, sessions are recorded and include live captioning, and we will share recordings, slides, and transcripts afterward so you can revisit the content at your own pace. Because these materials are provided, and to help protect participant privacy and consent, we ask that attendees do not use AI note-taking or automated recording tools (such as Otter.ai, Fireflies.ai, Zoom AI Companion, or similar apps) without prior permission from the organizers.
Please refer to our code of conduct webpage for more information.
Danica Evering is a Research Data Management Specialist grounded in curiosity and a deep commitment to ethics. They braid together broad fluency in social practice art, healthcare, community research, data, and systems development to provide comprehensive RDM services. Danica is available to help students, postdocs, faculty, and staff with RDM through the data lifecycle—Data Management Plans, storage and backup, data security, data sharing. Danica fosters active interest in research data management across disciplines, with a knack for engaging researchers who might not even realize they have data to manage. Outside of work they sing in a choir, play PC games, maintain an art writing practice, grow a garden, contribute Wikipedia articles, and run.
Isaac Pratt is a Research Data Management Specialist. Isaac holds a PhD in Anatomy & Cell Biology, and has research experience is in biomedical science and social science, specifically in Physics, Biological Anthropology, and Anatomy. He is available to help with any RDM related questions including data management planning, data storage & backup, data security, and data deposit and sharing. Isaac is a member of MREB and can help with questions about data management for ethics and sensitive data.
Subhanya Sivajothy (she/her) brings a background of research in data justice, science and technology studies, and environmental humanities. She is currently support researchers with qualitative research, data visualizations, digital exhibits and other forms of knowledge mobilization. Do not hesitate to reach out to her if you would like to talk more about data analysis and visualization as they evolve throughout the research process. Email Subhanya at sivajos@mcmaster.ca.
Subhanya offers consultations on Data Analysis and Visualization. Schedule a consultation with Subhanya.
The Sherman Centre for Digital Scholarship supports McMaster students, faculty, and staff, as well as anyone curious about digital scholarship. From research and teaching to training and technical support, we’re here to help bring digital projects to life at every stage!
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