Learning

Bridging the Gap: Gale Primary Sources and Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

This month’s blog post will discuss how to start the work of sourcing research documents in Gale Primary Sources (GPS) archives, before transitioning seamlessly to Gale Digital Scholar Lab to create content sets, clean OCR text data, and conduct analyses of this material to answer research questions. With this methodology, researchers are able to use the rich contextual detail and varied navigation options to begin compiling their corpus of text data outside of the Lab, which can be an attractive option if the user has an existing working knowledge of specific GPS archives, such as The Times Digital Archive, Women’s Studies Archive, or Nineteenth Century Collections Online.

There is a standardised user experience across GPS and the Lab, making the transition from one to the other familiar and streamlined. However, there are options to view documents in GPS that aren’t yet available in the Lab, which may make combining both access points useful so that no document slips through the cracks!

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Gale Primary Sources Learning Centers: A Retrospective

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│By Megan Sullivan, Senior Product Manager, Gale Primary Sources│

The COVID-19 pandemic and pivot to remote instruction shed light on a longstanding challenge in the humanities and related disciplines – how can instructors effectively incorporate digital primary sources into their pedagogy?

According to a 2021 study by ITHAKA S&R, two of the key obstacles to teaching with primary sources are: (1) discovery tools are not optimised to help instructors locate resources for classroom use and (2) students do not always have the required skills to find and evaluate relevant primary sources. These two problems were top of mind when designing the Gale Primary Sources Learning Centers which are now approaching the three-year anniversary of their initial release.

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Coding for Humanists: Python Notebooks in Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

Recently, three Python Notebooks were added to Gale Digital Scholar Lab to offer additional flexibility in processing and analysing text data. Each of the Notebooks can be downloaded by a researcher, then used or adapted to suit individual needs. This blog post offers some considerations for those interested in incorporating Python-based workflows into their text analysis pipeline but aren’t quite sure where to start.

This blog can also be read in conjunction with Women’s History Month in Gale Digital Scholar Lab: Named Entity Recognition, Python Notebooks, and an Intrepid Female Diarist which offers some practical programming insights into a project using Named Entity Recognition.

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Playing Games with Data: Building Interactive Narratives with Twine

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

The Digital Humanities Summer Institute, at the University of Victoria, BC, has taken place every June since 2001. The intensive week of workshops, lectures, papers and social gatherings has a long history of active engagement in learning, conversation and discussions of research and methodologies.

I have had the opportunity to attend each year since 2011 and have participated in 5-day workshops on topics ranging from text encoding, digital project management, mapping, data visualization, IIIF viewers, python programming, cloud computing and DH for department chairs and deans. As an academic with an active research agenda and regular engagement in both undergraduate and graduate classrooms, I have come to greatly value the in-depth and diverse conversations taking place during the week, and 2024 has been no exception.

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Exploring Named Entity Recognition in Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

One of six embedded tools in Gale Digital Scholar Lab, Named Entity Recognition (NER) processes Optical Character Recognition (OCR) text data and captures information about a range of words defined as ‘entities’, detailed below. The tool is ideally suited for text-based analysis, including text encoding and mapping. This blog post will discuss some of the highlights of the Lab’s NER tool, and things to bear in mind when creating an analysis configuration. We’ll finish with a couple of sample use cases to inspire your own NER analysis.

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Re-imagining Assignments in the DH Classroom II: Timelines, Digital Exhibits, and Maps

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

This is a follow-up blog post to last month’s overview of working with Storymaps in the DH classroom.  We will consider a few more ways to engage students in the creative and intellectually rigorous process of building Digital Humanities projects, conducting analyses, and demonstrating the outcomes of a quarter or semester’s-worth of work. Developing timelines, exhibits and maps involves making use of Gale Digital Scholar Lab’s export functionality, which includes the ability to download:

  • The OCR text output of up to 5,000 documents in any given content set.
  • The full metadata of a content set, up to 10,000 documents.
  • Individual document images.
  • Analysis visualisations in multiple image formats.
  • Analysis raw data in CSV or JSON formats.
  • Documentation and records completed using the Notebook feature, in multiple text formats.

This exported information can then be used as the underlying data for a variety of interactive and public-facing student assignments. 

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Re-imagining Assignments in the DH Classroom: StoryMaps

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

It’s back-to-school season, and the next two ‘Notes from Our DH Correspondent’ blog posts will focus on non-traditional assignments in the DH classroom. Often, Humanities classes culminate in a final paper or essay which is a worthwhile exercise in sifting through relevant information to answer a question or propose a thesis. A syllabus that incorporates Digital Humanities methodologies, however, often blends subject content with technical and analytic proficiencies, meaning an essay may not be the best medium to showcase student learning in this scenario. Below we consider tools for digital storytelling which blend text, image, and analysis results to create engaging and interactive assignment outputs.

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Understanding Recent Enhancements to Sentiment Analysis in Gale Digital Scholar Lab

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│By Sarah L. Ketchley, Senior Digital Humanities Specialist│

Sentiment Analysis can be described as an exploratory form of analysis that reveals trends or patterns in positive, negative or neutral sentiment of a collected set of documents (a ‘Content Set’). This type of analysis can identify avenues for further research or investigation at both a macro (Content Set) and micro (document) level.1 Sentiment Analysis is one of the six analysis tools available in Gale Digital Scholar Lab where it was recently updated to include an expanded sentiment lexicon which offers opportunities to further refine analysis results. This blog post will discuss these enhancements and offer suggested pathways to work with Sentiment Analysis both in the classroom and for research.

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Top 10 Tips for Researching with British Literary Manuscripts Online

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British Literary Manuscripts Online interface

│By Ben Wilkinson-Turnbull, Senior Gale Ambassador at the University of Oxford│ Researching literary manuscripts is difficult. In the years following their production, primary sources have often been spread across different institutional libraries around the world. This makes accessing them complicated and expensive, particularly for early career researchers and those conscious of the impact that travelling … Read more

Groups and Notebooks: Using Gale Digital Scholar Lab’s latest features in the DH classroom

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Notes from our DH Correspondent

│By Sarah Ketchley, Senior Digital Humanities Specialist│

The field of digital scholarship tends to be collaborative, since any given project may involve disciplinary experts, developers, librarians, archivists, and students. Management of workflow and data can be challenging unless there is careful planning from the outset about record-keeping, group working practices, the sharing of information and goals for project sustainability and longer-term archiving. These practical considerations are the same for research projects and for those built in the classroom.

The ability to create Groups was recently added as a feature to the Gale Digital Scholar Lab platform, along with a flexible ‘Notebook’ tool for documenting decisions and outcomes. This blog post will consider how Group spaces can be used to facilitate classroom project-building by students in an undergraduate classroom, using a recent course I taught in the Information School at the University of Washington as a case study. The practicalities of using the Groups/Notebook features were discussed in my previous blog post, including details about how a teacher might go about adding students to new groups within the Lab, then managing classroom workflow via record-keeping in the team’s Notebook.

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