Abstract
This poster will demonstrate a suite of new, free tools for online, crowdsourced text transcription on a large platform for crowdsourced research. The poster will provide historical context for the new tools, and an overview of the technical infrastructure, as well as a project lifecycle overview, showing how data move through each phase of the process: from pre-processing to data upload to volunteer transcription to review to export.
The poster will additionally showcase how our organization is developing new tools in response to demonstrated need from our community (both those running projects as well as those volunteering), and how we build user feedback into the development process, in order to ensure that new tools are useful and add to the growing toolkit for digital humanities projects on our platform.
The new tools demonstrated in the poster include:
A new text transcription tool that allows volunteers to see and interact with transcriptions submitted by others, as well as supporting live text aggregation and a completeness metric based on consensus
A new tool for collaborative viewing and editing of the results of text transcription projects, allowing project teams to review aggregate and raw transcription data, and which supports robust data export options including plain text and unparsed JSON
Intended audiences for this poster include GLAM professionals and researchers who are interested in crowdsourcing and data management, Humanities researchers interested in conducting research using crowdsourced data, data science professionals interested in text aggregation methods, and web developers interested in building DH tools.