Julia Flanders

Neil Fraistat

As more and more of our cultural heritage migrates into digital form and as increasing amounts of literature and art are created within digital environments, it becomes more important than ever before for us to understand how the medium affects the text. The expert contributors to this volume provide a clear, engrossing and accessible insight into how the texts we read and study are created, shaped and transmitted to us. They outline the theory behind studying texts in many different forms and offer case studies demonstrating key methodologies underlying the vital processes of editing and presenting texts. Through their multiple perspectives they demonstrate the centrality of textual scholarship to current literary studies of all kinds and express the sheer intellectual excitement of a crucial scholarly discipline entering a new phase of its existence.

The Cambridge Companion to Textual Scholarship

An introduction to studying and editing texts in all forms, from manuscript to digital.

Fotis Jannidis

Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case studies, and an exploration of important theoretical concerns. The book opens with an orientation, giving the reader a history of data modeling in the humanities and a grounding in the technical concepts necessary to understand and engage with the second part of the book. The second part of the book is a wide-ranging exploration of topics central for a deeper understanding of data modeling in digital humanities. Chapters cover data modeling standards and the role they play in shaping digital humanities practice, traditional forms of modeling in the humanities and how they have been transformed by digital approaches, ontologies which seek to anchor meaning in digital humanities resources, and how data models inhabit the other analytical tools used in digital humanities research. It concludes with a glossary chapter that explains specific terms and concepts for data modeling in the digital humanities context. This book is a unique and invaluable resource for teaching and practising data modeling in a digital humanities context.

Julia Flanders

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