Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information. Demonstrating what digital tools have to offer and also what ’digital’ does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored ’live’ online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings. Key Features • Getting started with digital work can be overwhelming; this book provides a gentle introduction and by-the-hand instructions for getting started, contextualized for the broader field. It will equip the reader to explore more in-depth tutorials they may find online, and it helps them understand and assess the value and importance of digital history scholarship when they encounter it • This new edition has approximately 30% new material using free and open source tools (rather than commercial products) to walk the reader through new datasets, which enhances the accessibility of digital history work. A new co-author provides new perspective on the field. The associated code repository provides datasets and code for analysis that may be reused and further developed

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