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.

"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."--Provided by publisher.

Archives and special collections departments have a long history of preserving and providing long-term access to organizational records, rare books, and other unique primary sources including manuscripts, photographs, recordings, and artifacts in various formats. The careful curatorial attention to such records has also ensured that such records remain available to researchers and the public as sources of knowledge, memory, and identity. Digital curation presents an important framework for the continued preservation of digitized and born-digital collections, given the ephemeral and device-dependent nature of digital content. With the emergence of analog and digital media formats in close succession (compared to earlier paper- and film-based formats) came new standards, technologies, methods, documentation, and workflows to ensure safe storage and access to content and associated metadata. Researchers in the digital humanities have extensively applied computing to research; for them, continued access to primary data and cultural heritage means both the continuation of humanities scholarship and new methodologies not possible without digital technology. Digital Curation in the Digital Humanities, therefore, comprises a joint framework for preserving, promoting, and accessing digital collections. This book explores at great length the conceptualization of digital curation projects with interdisciplinary approaches that combine the digital humanities and history, information architecture, social networking, and other themes for such a framework. The individual chapters focus on the specifics of each area, but the relationships holding the knowledge architecture and the digital curation lifecycle model together remain an overarching theme throughout the book; thus, each chapter connects to others on a conceptual, theoretical, or practical level. Theoretical and practical perspectives on digital curation in the digital humanities and history In-depth study of the role of social media and a social curation ecosystem The role of hypertextuality and information architecture in digital curation Study of collaboration and organizational dimensions in digital curation Reviews of important web tools in digital humanities

The Routledge Handbook of English Language and Digital Humanities serves as a reference point for key developments related to the ways in which the digital turn has shaped the study of the English language and of how the resulting methodological approaches have permeated other disciplines. It draws on modern linguistics and discourse analysis for its analytical methods and applies these approaches to the exploration and theorisation of issues within the humanities. Divided into three sections, this handbook covers: sources and corpora; analytical approaches; English language at the interface with other areas of research in the digital humanities. In covering these areas, more traditional approaches and methodologies in the humanities are recast and research challenges are re-framed through the lens of the digital. The essays in this volume highlight the opportunities for new questions to be asked and long-standing questions to be reconsidered when drawing on the digital in humanities research. This is a ground-breaking collection of essays offering incisive and essential reading for anyone with an interest in the English language and digital humanities.

This book addresses the need of humanities scholars for whom technology and data now play a large role in their research and teaching and who need 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.

Nearly a decade ago, Johanna Drucker cofounded the University of Virginia’s SpecLab, a digital humanities laboratory dedicated to risky projects with serious aims. In SpecLab she explores the implications of these radical efforts to use critical practices and aesthetic principles against the authority of technology based on analytic models of knowledge. Inspired by the imaginative frontiers of graphic arts and experimental literature and the technical possibilities of computation and information management, the projects Drucker engages range from Subjective Meteorology to Artists’ Books Online to the as yet unrealized ’Patacritical Demon, an interactive tool for exposing the structures that underlie our interpretations of text. Illuminating the kind of future such experiments could enable, SpecLab functions as more than a set of case studies at the intersection of computers and humanistic inquiry. It also exemplifies Drucker’s contention that humanists must play a role in designing models of knowledge for the digital age—models that will determine how our culture will function in years to come.