Open Heritage Data: An Introduction to Research, Publishing and Programming with Open Data In the Heritage Sector
- Length: 147 pages
- Edition: 1
- Language: English
- Publisher: Facet Pub
- Publication Date: 2020
- ISBN-10: 178330359X
- ISBN-13: 9781783303595
- Sales Rank: #11601039 (See Top 100 Books)
This book combines current research in open data practices in the heritage sector with technical step-by-step guides on how to work with heritage data for visualisation, mapping, and mining.
The book begins with an overview of the extent of open heritage data, a thorough review of the current literature and original case studies from practitioners at Europeana, the Digital Public Library of America, fx. Rijksmuseum, the National Gallery of Denmark and the Metropolitan Museum of Art.
The second part of the book puts the theory into practice with a series of step-by-step guides that take the reader through creating, publishing, using and reusing open heritage data. The book covers:
- copyright and licensing for digitised and born-digital heritage material;
- publishing different data types as open data (images, maps, structured data);
- finding open data with a guide to using APIs;
- visualizing open data;
- mapping open data;
- mining open data; and
- the use of open data with examples of how to reuse, remix, hack and mashup open data.
Endorsement Title page Contents Acknowledgements Preface Introduction 1 Openness in heritage Heritage amateurs Organising heritage in institutions Physical access Online access Data access Summary 2 Sharing legally Heritage laws Data protection law Copyright law Summary 3 Publishing open data Galleries/art museums Libraries Archives Museums GLAM Summary 4 Using and reusing open data Use and users Technical skills Authority Heritage hackathons Wikipedians Education and youth Apps DIY and maker culture Portals Tools Summary 5 Visualising open data Basic data reuse Images Maps Charts Summary 6 Combining open data Combining art Combining archaeological records Combining newspapers Summary 7 Open data for research Basic data collection Data cleaning Descriptive statistics Timeline analysis Summary Appendix A: Examples used in the book Appendix B: Introduction to coding HTML CSS JavaScript JSON PHP Python References Index
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