DEVONthink for Historians: developing your qualitative research process
Based on DEVONThink for Historians's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.
DEVONthink’s strength is storage and organization of large qualitative text collections, but the course centers on the harder step: turning that collection into writing-ready evidence.
Briefing
Qualitative research often fails not because researchers can’t collect enough material, but because they don’t build a process that turns stored documents into usable evidence for writing. DEVONthink for Historians is presented as a workflow system for mac users who manage large text-based collections—helping researchers organize, retrieve, and ultimately cite sources without wasting time redoing earlier work.
The core pitch is straightforward: DEVONthink is strong at storing and organizing large qualitative datasets, but the real challenge begins after the archive is built. Researchers need a deliberate method to manage both the collection and the later use of those materials, so the end product—writing and analysis—doesn’t become a scramble. The course’s emphasis is on “upfront work” that improves efficiency later, framed as a practical return on investment: thoughtful preparation prevents having to redo organization and processing once the writing phase starts.
The course is split into two parts. The Starting Up Guide focuses on constructing a database in DEVONthink, starting even for absolute novices. Beyond basic usage, it centers on “schemas,” meaning how researchers design a hierarchy of information so documents are intuitive to find and easy to search. The material addresses tradeoffs among multiple schema options and offers strategies for creating primary, secondary, and sometimes tertiary schemas—so the same collection can support different kinds of retrieval as the project evolves.
It also targets historian-specific workflow needs, particularly processing decisions made early to save time later. That includes practical tools within DEVONthink such as flags and labels, which help manage documents as they move from collection to analysis. The overall goal is to ensure researchers spend their time analyzing and writing rather than correcting earlier organizational choices.
The Super User Guide then moves from database construction to an integrated workflow that connects DEVONthink with Bookends, a reference manager, and with writing tools—specifically Microsoft Word and Scrivener (with the note that other writing setups like Scrivener-compatible approaches can also fit). This combination is positioned as a way to cite archival and secondary sources more quickly and with less friction.
A key feature of the advanced workflow is the use of “super annotations” and accompanying scripts designed to automate document processing tasks, reducing manual workload. The course also includes one-on-one paid consultations where researchers can submit questions in advance and receive tailored guidance based on both the participants’ experience with DEVONthink and the historical research context.
While the course name targets historians, the guidance is described as applicable to other qualitative disciplines that use historical methods—such as ethnography, anthropology, sociology, or linguistics with historical components—so the underlying message is broader than a single field: build a research process that makes your tools work for your writing, not just for storage.
Cornell Notes
DEVONthink for Historians is built around a central problem in qualitative research: collecting and storing documents is easy compared with turning them into evidence for writing. The course argues that efficiency depends on doing the right upfront work—especially designing a clear database structure using “schemas” so documents are easy to retrieve later. The Starting Up Guide teaches novices how to set up DEVONthink and optimize basic features like flags and labels, while emphasizing early processing choices that prevent rework. The Super User Guide then connects DEVONthink with Bookends and writing tools such as Microsoft Word and Scrivener to streamline citation. Automation via “super annotations” and scripts is used to reduce manual processing.
Why does the course focus so heavily on “upfront work” instead of only teaching DEVONthink features?
What are “schemas,” and how do they help researchers work with large qualitative collections?
How does the course connect document management to writing and citation?
What role do “super annotations” and scripts play in the advanced workflow?
Who is the course for if someone isn’t a historian by training?
What do the one-on-one consultations add beyond the guides?
Review Questions
- How would you decide between using a primary schema versus adding secondary (or tertiary) schemas in a DEVONthink database?
- What specific kinds of “upfront processing” could prevent rework during the analysis and writing phases of a qualitative project?
- How does integrating DEVONthink with Bookends and a writing tool change the citation workflow compared with managing references separately?
Key Points
- 1
DEVONthink’s strength is storage and organization of large qualitative text collections, but the course centers on the harder step: turning that collection into writing-ready evidence.
- 2
A deliberate research process—especially early organization and processing—reduces later rework and improves efficiency during analysis and drafting.
- 3
“Schemas” define a database hierarchy, and the course provides strategies for building primary, secondary, and sometimes tertiary schemas to keep documents easy to find.
- 4
Flags, labels, and other DEVONthink tools are used to manage documents as they move from collection to analysis.
- 5
The advanced workflow links DEVONthink with Bookends and writing tools like Microsoft Word and Scrivener to streamline citation of archival and secondary sources.
- 6
“Super annotations” plus scripts automate document processing tasks to cut manual workload.
- 7
One-on-one consultations tailor DEVONthink workflows to a researcher’s project goals and experience level.