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Crowdsourcing our Cultural Heritage (Paperback): Mia Ridge Crowdsourcing our Cultural Heritage (Paperback)
Mia Ridge
R1,575 Discovery Miles 15 750 Ships in 12 - 17 working days

Crowdsourcing, or asking the general public to help contribute to shared goals, is increasingly popular in memory institutions as a tool for digitising or computing vast amounts of data. This book brings together for the first time the collected wisdom of international leaders in the theory and practice of crowdsourcing in cultural heritage. It features eight accessible case studies of groundbreaking projects from leading cultural heritage and academic institutions, and four thought-provoking essays that reflect on the wider implications of this engagement for participants and on the institutions themselves. Crowdsourcing in cultural heritage is more than a framework for creating content: as a form of mutually beneficial engagement with the collections and research of museums, libraries, archives and academia, it benefits both audiences and institutions. However, successful crowdsourcing projects reflect a commitment to developing effective interface and technical designs. This book will help practitioners who wish to create their own crowdsourcing projects understand how other institutions devised the right combination of source material and the tasks for their 'crowd'. The authors provide theoretically informed, actionable insights on crowdsourcing in cultural heritage, outlining the context in which their projects were created, the challenges and opportunities that informed decisions during implementation, and reflecting on the results. This book will be essential reading for information and cultural management professionals, students and researchers in universities, corporate, public or academic libraries, museums and archives.

Crowdsourcing our Cultural Heritage (Hardcover, New Ed): Mia Ridge Crowdsourcing our Cultural Heritage (Hardcover, New Ed)
Mia Ridge
R4,088 Discovery Miles 40 880 Ships in 12 - 17 working days

Crowdsourcing, or asking the general public to help contribute to shared goals, is increasingly popular in memory institutions as a tool for digitising or computing vast amounts of data. This book brings together for the first time the collected wisdom of international leaders in the theory and practice of crowdsourcing in cultural heritage. It features eight accessible case studies of groundbreaking projects from leading cultural heritage and academic institutions, and four thought-provoking essays that reflect on the wider implications of this engagement for participants and on the institutions themselves. Crowdsourcing in cultural heritage is more than a framework for creating content: as a form of mutually beneficial engagement with the collections and research of museums, libraries, archives and academia, it benefits both audiences and institutions. However, successful crowdsourcing projects reflect a commitment to developing effective interface and technical designs. This book will help practitioners who wish to create their own crowdsourcing projects understand how other institutions devised the right combination of source material and the tasks for their 'crowd'. The authors provide theoretically informed, actionable insights on crowdsourcing in cultural heritage, outlining the context in which their projects were created, the challenges and opportunities that informed decisions during implementation, and reflecting on the results. This book will be essential reading for information and cultural management professionals, students and researchers in universities, corporate, public or academic libraries, museums and archives.

Collaborative Historical Research in the Age of Big Data - Lessons from an Interdisciplinary Project (Paperback): Ruth Ahnert,... Collaborative Historical Research in the Age of Big Data - Lessons from an Interdisciplinary Project (Paperback)
Ruth Ahnert, Emma Griffin, Mia Ridge, Giorgia Tolfo
R552 Discovery Miles 5 520 Ships in 12 - 17 working days

Living with Machines is the largest digital humanities project ever funded in the UK. The project brought together a team of twenty-three researchers to leverage more than twenty-years' worth of digitisation projects in order to deepen our understanding of the impact of mechanisation on nineteenth-century Britain. In contrast to many previous digital humanities projects which have sought to create resources, the project was concerned to work with what was already there, which whilst straightforward in theory is complex in practice. This Element describes the efforts to do so. It outlines the challenges of establishing and managing a truly multidisciplinary digital humanities project in the complex landscape of cultural data in the UK and share what other projects seeking to undertake digital history projects can learn from the experience. This title is also available as Open Access on Cambridge Core.

Digital Methods for Complex Datasets - Ijhac Volume 10, Issue 1 (Paperback): Jennifer Guiliano, Mia Ridge Digital Methods for Complex Datasets - Ijhac Volume 10, Issue 1 (Paperback)
Jennifer Guiliano, Mia Ridge
R703 Discovery Miles 7 030 Ships in 12 - 17 working days

Seeking to challenge the focus on 'big data' by understanding it outside of the computational power required to process it, this volume explores the role of digital methods in the future of digital humanities research. The essays are united by the theme of complexity - but manifest that complexity across an unusual spectrum. The methods included rise out of fields of study including library and information science, informatics, literary studies, English, and computer science. Sources explored include traditional national archives, international web archives, medieval musical scores, digitised books, early modern network ontologies and educational data/learning analytics. These essays discuss the practical implications of web scraping, the implications of creating new scholarly objects, the importance of documentation and the intricacies of applying topic modelling and linked open data methods. Together, the volume suggests that the humanities comfort with multiplicities, contingency, and uncertainty in sources may lend itself to resisting the reductionism that makes technical projects easier to manage, flattening messy, human data into neat binaries. These essays remind us that their results must be contextualised through scholars' knowledge of the sources and the methods by which they came to be constructed not just as 'big data' datasets.

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