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GLAM Special Collection: A Generalized Framework for Participatory Transcription: Lessons, Challenges, and Interdisciplinary Impact from the Zooniverse Platform Cover

GLAM Special Collection: A Generalized Framework for Participatory Transcription: Lessons, Challenges, and Interdisciplinary Impact from the Zooniverse Platform

Open Access
|Jul 2026

Figures & Tables

Table 1

A framework for participatory transcription with guiding questions.

CHALLENGEGUIDING QUESTION(S)
Variety
  • What are the properties (layout, form, genre, and any important features the transcription workflow needs to accommodate) of the texts to be transcribed?

  • What transcription conventions will capture the desired data? Is it important to capture text exactly as it appears in the original documents or standardize spellings, punctuation, etc. to align with disciplinary standards?

  • Is additional markup necessary, for example, to indicate supplied or deleted text or formatting like bold or italics?

  • What are the edge cases in which a particular approach that works for the bulk of the material might not work for a subset?

Units of transcription
  • What is an appropriate unit of transcription? A whole document, a page, a line, a word, a single character?

  • How does the unit of transcription translate to time spent on a task? Are there tradeoffs between unit size and task flow or immersion for participants?

  • What workflow design best supports participants in contributing the unit of transcription?

Single-track transcription or multi-track transcription with aggregation
  • Who will transcribe and how will their transcriptions be vetted, if at all?

    • Single-track: Can take many forms, for example, one or more participants transcribe, and other participants edit and/or an expert editor may finalize.

    • Multi-track: Can take many forms, for example, N-blind keyings combined algorithmically, with or without expert review.

  • What aggregation methods work best for combining multi-track transcriptions?

  • What resources (e.g., expertise, time) are needed to conduct expert review and/or aggregation? Do I/we have this expertise?

Bias
  • Is data quality higher when multiple independent transcriptions are compared and combined into a single reading, or when transcribers are allowed to collaborate?

  • Can collaborative methods be designed that retain the quality control metrics of independent transcription?

Figure 1

Clickable onscreen keyboard within the Ancient Lives user interface.

Figure 2

Operation War Diary (OWD) aggregation analysis of transcriptions on a War Diary page.

DOI: https://doi.org/10.5334/cstp.934 | Journal eISSN: 2057-4991
Language: English
Page range: 19 - 19
Submitted on: Oct 15, 2025
Accepted on: Jun 12, 2026
Published on: Jul 27, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Samantha Blickhan, Victoria Van Hyning, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.