On this page, we list some of the web-based tools available for researchers.
Unless indicated, if you need or would like further support on an application you should go online to the community and/or company concerned. The University does not have an institutional subscription to all these tools. If you wish to purchase a subscription for your research project, please check with CSD first.
The Gale Digital Scholar Lab is a cloud-based research environment that allows students and researchers to apply natural language processing tools to raw text data (OCR) from Gale's Primary Sources in a single research platform.
When performing analyses, finding, cleaning, and organising data, natural language processing (NLP) for historical texts is often a daunting task, especially when looking to generate meaningful results. Gale Digital Scholar Lab removes these barriers and streamlines the workflow process, allowing researchers to spend more time identifying previously undiscovered data, testing theories, analysing results, and gaining new insights.
You can access the Digital Scholar Lab via the Library’s list of databases, which can be found on the Library Main Page under the Discover Search Bar. Choose Research Tools in the Database type section, it is listed alphabetically. You will have to sign in to get access to the tool and have a google account to create an account with Gale.
The web is a valuable tool to help with understanding your data analysis problems whether you are a novice or an expert
For those just starting or with some basic skills, there are the following.
The University has a license for LinkedIn Learning. This provides video-based training for a wide range of topics. Under the topic of data analysis, there are 195 courses listed. These range from relatively short introductions to the topic, such as Learning Data Analytics to multi-session courses with 30+ hours of content. Some are self-contained, whilst others are best appreciated if you install the suggested application software and do exercises as you progress through the course.
A popular text-based interactive site is The Programming Historian. As of August 2021, there are 86 lessons in English as well as a good range of courses in French, Spanish and Portuguese. These vary in difficulty with a range of topics covered. Several of these address data analysis needs relevant to the Humanities.