Gale Digital Scholar Lab selection Archives

Digging into Datasets in Gale Digital Scholar Lab

May 9, 2023 by Gale Review Team

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

This dataset post is a follow-up to Working with Datasets, a Primer which discussed text datasets of primary sources and explored how to access and work with them in Gale Digital Scholar Lab. Here, we’ll look at the topics of the first eight datasets in the Lab in more detail, the types of documents included in each set, and consider how a user may work with them for analysis. Our next blog post will showcase classroom-based use of the Lab’s datasets as an introductory pathway into the field of digital humanities.

Taking Your Master’s Dissertation to the Next Level: Using Gale Digital Scholar Lab for Research

April 4, 2023 by Gale Ambassadors

│By Tamar Atkinson, Gale Ambassador at the University of Liverpool│

Primary sources can be a great resource for Master’s dissertation research, providing a deeper understanding of history. Whilst they make handy supportive evidence to back up the points you want to make in an assessment, is there a way to take them further? Within Gale Digital Scholar Lab, you can find a whole range of data-mining visualisation tools and other resources that can allow you to bring elements of Digital Humanities methodologies into your research, through an easy, step-by-step process. This can add great insights to any work!

Birds of a Feather, Work Together – Gale Digital Scholar Lab: Groups

March 7, 2023 by Gale Review Team

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

December 2022 saw the release of the new ‘Groups’ feature in Gale Digital Scholar Lab. This blog post will consider the nature and benefits of teamwork in Digital Humanities (DH) and highlight Group workflows in the Lab that support effective collaborative practices.

Digital Humanities and Data Mining: The Key to Efficient Seminar Preparation

February 2, 2023January 17, 2023 by Gale Ambassadors

Header image - piles of leather bound books with spines facing outwards

│By Becca Leeland, Gale Ambassador at the University of Exeter│

Anyone that says to a humanities student ‘all you have to do is read a book and have an opinion’ is someone who’s never had to prepare for a seminar! Seminars are the foundation of my degree – they guide me to the crucial works in a given field, they give me the space to explore ideas, and sharpen my skills in argument and writing. But they can also be daunting, especially when you’re presented with the work of the finest minds in history and are expected to make sense of it; you know you’re intelligent, you know you can do this, but sometimes you just need a little push in the right direction…

*Enter Gale Digital Scholar Lab.*

Gale Digital Scholar Lab is designed to make data mining and primary research more efficient with a three-step process of build, clean, and analyse. Utilising some of these techniques, you can gain a solid idea of where the texts are going and what to look out for, something that is really helpful when you start reading the material more closely.

King Tut and Digital Humanities: A Pedagogical Case Study

November 22, 2022 by Gale Review Team

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

The Department of Middle Eastern Languages and Cultures (MELC) at the University of Washington has a history of supporting work in Digital Humanities (DH) dating back to the 1980s. More recently, the department has offered regular introductory classes in DH, which I have taught since 2015. These are usually topical in nature, i.e., the data we work with in class is related to a particular Middle Eastern theme, often related to travel or archaeology in Egypt, which is my area of research interest. This Spring Quarter 2022, my undergraduates and graduates participated in a class called ‘Digital Media – King Tut and Digital Humanities’ to learn about the theory and processes of building DH projects based on data related to the discovery of Tutankhamun’s tomb in 1922, one hundred years ago.

Working with Datasets, A Primer

October 25, 2022 by Gale Review Team

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

This month’s blog post will discuss datasets – what they are, and how they might be used by a researcher or student who plans to use digital tools to generate answers to questions they have about their data. The timing of this post coincides with the release of Gale Digital Scholar Lab’s newest feature: downloadable datasets, pre-curated for use in the classroom or by individual users. We’ll look at some of the options for working with these datasets, and end with some suggestions for sourcing open plain text data for curation and analysis.

Separating the Wheat from the Chaff: Identifying Themes and Topics in Archives Using Gale Digital Scholar Lab

July 6, 2022June 28, 2022 by Gale Review Team

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

Getting to grips with the scope and content of a digital primary source archive held by an institution’s library can be daunting, particularly if the archive consists of thousands of documents in a variety of formats. For an individual researcher, the task of sifting through vast quantities of data in the quest for material that is relevant for a particular research topic is something that can take years to accomplish. This blog post will explore some of the ways a researcher can use Gale Digital Scholar Lab in conjunction with Gale Primary Sources as a platform for exploratory analysis to gain insights into the topics and themes represented in a chosen archive.

Doing the Digital Laundry? Notes on Cleaning Unstructured Text Data

May 24, 2022 by Gale Review Team

│By Sarah L Ketchley, Senior Digital Humanities Specialist│

An integral part of the workflow of any digital humanities project involving text generated automatically by Optical Character Recognition (OCR) is the correction of so-called OCR errors. The process is also called ‘data cleaning’. This post will explore some of the considerations researchers should be aware of before starting to clean their data in Gale Digital Scholar Lab, using the built-in text cleaning tool. It will also offer additional resources for working with data in other formats outside of the Lab.

Practical Pedagogy with Gale Digital Scholar Lab, Part I: Developing Your Syllabus and Learning Objectives

February 22, 2022 by Gale Review Team

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

There are many advantages to incorporating work with digital tools in the humanities classroom. As students graduate and transition to the workplace, demonstrable digital literacy is often a pre-requisite for employment, so students are keen to learn such skills, and to articulate what they have learned in a way that makes sense in professional settings.

The next two posts in this ‘Notes from our DH Correspondent’ series will highlight how classroom use of Gale Digital Scholar Lab provides an accessible entry point for faculty who want to teach Digital Humanities (DH) methodologies using text-based humanities data and offer a learning experience that is both relevant and enriching for students. Part I will provide suggestions and examples for drafting a syllabus and for identifying appropriate learning objectives in the DH classroom. Part II will cover ways to present the platform to students new to the field of DH or to working with historical primary source archives, along with suggestions for incorporating project-based learning, developing granular rubrics and options for assessing student work.

A Sense of Déjà vu? Iteration in Digital Humanities Project Building using Gale Digital Scholar Lab

January 25, 2022 by Gale Review Team

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

This post explores the iterative process of digital humanities project work in Gale Digital Scholar Lab, which provides a user-friendly interface for text mining historical primary source documents from Gale Primary Sources and plaintext material uploaded by researchers. The post discusses how each stage of the curation and cleaning process (Build, Clean, Analyse) is impacted by the need for a flexible and regenerative mindset and workflow that is less linear in nature, more cyclical and iterative.