Unlocking Digital Texts: Towards an Interoperable Text Framework
Lead Research Organisation:
University of Oxford
Department Name: Library Services
Abstract
A key challenge faced by digital text projects is encouraging cultural institutions, researchers and the wider-public to reuse and build upon their resources. Despite the scholarly effort put into creating them, digital texts do not seem to have the same 'long tail' use patterns that data from other disciplines have. One of the chief impediments has been that texts are produced and stored in formats that are hard to reuse. Many contain detailed contextual, semantic and presentational markup embedded with the underlying text. Even when these texts are encoded according to robust standards, such as Text Encoding Initiative (TEI), the content and style of the coding is fundamentally shaped by the editors' specific fields of study, languages or cultural norms. Reusing materials often requires project-specific code that embodies those principles and norms and sometimes even replicating the infrastructure that delivers them. This sets a high bar that only the most skilled, determined and well-funded researchers are able to surmount.
We aim to rectify this situation by defining an Interoperable Text Framework (ITF) and implementing exemplary test cases to demonstrate its strengths. We are not proposing a new format for encoding or storing text but rather a method for accessing and delivering textual resources (either whole documents or fragments) that are both readable by humans and also machine-friendly for computational analysis. When ITF is combined with other frameworks, such as IIIF and the W3C Web Annotation Data Model, it becomes possible to link texts, images, annotations and other online resources to construct narratives that can be visualised and navigated online.
ITF has the potential to transform online texts and editions into active online discourse by allowing multiple new narratives and analyses to be created around texts, without compromising the integrity of the originals. The partner projects all require such a capability and have already developed specific approaches that can inform the development of a more general and flexible standard.
ITF will enable researchers studying Samuel Beckett's works on the Beckett Digital Manuscript Project to construct their own narratives about his writing process. They can connect, display and analyse fragments from books in Beckett's library, where they were copied in notebook(s), and Beckett's subsequent intertextual reuse in his works. Readers can see and compare these multiple narratives and make their own inferences.
For digital pedagogy and for digital editions, ITF will be the starting point of unprecedented global and local collaborations. The rich but disorganized papers of the early modern mathematician Thomas Harriot, for instance, will finally benefit from a flexible framework that does not assume linearity from front cover to back cover, but rather enables multiple points of entry for various readers. Enhanced navigability and annotation will make Harriot's papers legible not only for researchers collaborating worldwide but for classrooms, where teachers seek ready ways to contextualize mathematical discoveries within their cultural moments.
ITF will also enable users to apply computational analysis tools to heterogeneous collections of text from diverse sources, which would have typically been avoided because they are difficult to use. A researcher could use existing text mining and machine learning tools to study patterns of citation and reference in the correspondence collections catalogues in Early Modern Letters Online by performing comparative topic and sentiment analyses of letter texts and the referenced works digitised by the Text Creation Partnership.
By removing the technical and infrastructural barriers, ITF will help to ensure that textual resources will then be better able to live up to the promises of the FAIR principles [https://www.go-fair.org/fair-principles/]; they will be Findable, Accessible, Interoperable, and Reusable.
We aim to rectify this situation by defining an Interoperable Text Framework (ITF) and implementing exemplary test cases to demonstrate its strengths. We are not proposing a new format for encoding or storing text but rather a method for accessing and delivering textual resources (either whole documents or fragments) that are both readable by humans and also machine-friendly for computational analysis. When ITF is combined with other frameworks, such as IIIF and the W3C Web Annotation Data Model, it becomes possible to link texts, images, annotations and other online resources to construct narratives that can be visualised and navigated online.
ITF has the potential to transform online texts and editions into active online discourse by allowing multiple new narratives and analyses to be created around texts, without compromising the integrity of the originals. The partner projects all require such a capability and have already developed specific approaches that can inform the development of a more general and flexible standard.
ITF will enable researchers studying Samuel Beckett's works on the Beckett Digital Manuscript Project to construct their own narratives about his writing process. They can connect, display and analyse fragments from books in Beckett's library, where they were copied in notebook(s), and Beckett's subsequent intertextual reuse in his works. Readers can see and compare these multiple narratives and make their own inferences.
For digital pedagogy and for digital editions, ITF will be the starting point of unprecedented global and local collaborations. The rich but disorganized papers of the early modern mathematician Thomas Harriot, for instance, will finally benefit from a flexible framework that does not assume linearity from front cover to back cover, but rather enables multiple points of entry for various readers. Enhanced navigability and annotation will make Harriot's papers legible not only for researchers collaborating worldwide but for classrooms, where teachers seek ready ways to contextualize mathematical discoveries within their cultural moments.
ITF will also enable users to apply computational analysis tools to heterogeneous collections of text from diverse sources, which would have typically been avoided because they are difficult to use. A researcher could use existing text mining and machine learning tools to study patterns of citation and reference in the correspondence collections catalogues in Early Modern Letters Online by performing comparative topic and sentiment analyses of letter texts and the referenced works digitised by the Text Creation Partnership.
By removing the technical and infrastructural barriers, ITF will help to ensure that textual resources will then be better able to live up to the promises of the FAIR principles [https://www.go-fair.org/fair-principles/]; they will be Findable, Accessible, Interoperable, and Reusable.
