Research is rarely a one-person endeavour. Even if you are just doing a final thesis or PhD you'll likely want to involve a supervisor, friends, colleagues to ensure your analysis is free of bias. QDAcity is built for collaboration. You can invite other users, create and manage your own group, and analyze data as a team. This page outlines some of the core features that help you with this.
Collaborate and code concurrently
QDAcity is build to allow for collaborative coding. You can add your collaborators to your projects with different roles and permissions. You and your fellow researchers can then code the same documents concurrently in real-time. You instantly see when a colleague adds a code to a segment of data or adds or deletes a code. Think of it like Google Docs but for qualitative coding. Collaborators can also work in a suggestion mode, where they don't edit the project directy, but instead create recomendations for you to review. Collaboration is also helped through Todo items which you can assign to a specific member of a project.
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Organize your research group
QDAcity not only allows you to share your projects explicitly with other users, but you can create and manage your own user groups. This is great if you are managing your own research group and want to make sure that ownership of all projects is securely in the group and newly onboarded employees have access to the group resources.
Measure inter-rater agreement
If you are the principle investigator on a qualitative research project, and maybe mostly working on your own, it still makes sense to ask a colleague or friend to code at least parts of your data as a best practice for quality assurance. You can then measure the Intercoder Agreement with your second coder and have a discussion about potential discrepancies and options for improvement of your Code Book.