Description

Book Synopsis

Digital heritage can mean many things, from building a database on Egyptian textiles to interacting with family historians over Facebook. However, it is rare to see professionals with a heritage background working practically with the heritage datasets in their charge. Many institutions who have the resources to do so, leave this work to computer programmers, missing the opportunity to share their knowledge and passion for heritage through innovative technology.

Open Heritage Data: An introduction to research, publishing and programming with open data in the heritage sector has been written for practitioners, researchers and students working in the GLAM (Galleries, Libraries, Archives and Museums) sector who do not have a computer science background, but who want to work more confidently with heritage data. It combines current research in open data with the author’s extensive experience in coding and teaching coding to provide a step-by-step guide to working actively with the increasing amounts of data available.

Coverage includes:

• an introduction to open data as a next step in heritage mediation
• an overview of the laws most relevant to open heritage data
• an Open Heritage Data Model and examples of how institutions publish heritage data
• an exploration of use and reuse of heritage data
• tutorials on visualising and combining heritage datasets and on using heritage data for research.

Featuring sample code, case examples from around the world and step-by-step technical tutorials, this book will be a valuable resource for anyone in the GLAM sector involved in, or who wants to be involved in creating, publishing, using and reusing open heritage data.



Table of Contents

List of case studies, figures and tables
List of permissions
List of abbreviations
Acknowledgements
Preface
Introduction

1. Openness in heritage

  • Heritage amateurs
  • Organising heritage in institutions
  • Physical access
  • Online access
  • Data access
  • Summary
  • Notes

2. Sharing legally

  • Heritage laws
  • Data protection law
  • Copyright law
  • Summary
  • Notes

3. Publishing open data

  • Galleries/art museums
  • Libraries
  • Archives
  • Museums
  • GLAM
  • Summary
  • Notes

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

Open Heritage Data: An introduction to research,

Product form

£121.50

Includes FREE delivery

RRP £135.00 – you save £13.50 (10%)

Order before 4pm tomorrow for delivery by Fri 19 Dec 2025.

A Hardback by Henriette Roued-Cunliffe

Out of stock


    View other formats and editions of Open Heritage Data: An introduction to research, by Henriette Roued-Cunliffe

    Publisher: Facet Publishing
    Publication Date: 30/06/2020
    ISBN13: 9781783303601, 978-1783303601
    ISBN10: 1783303603

    Description

    Book Synopsis

    Digital heritage can mean many things, from building a database on Egyptian textiles to interacting with family historians over Facebook. However, it is rare to see professionals with a heritage background working practically with the heritage datasets in their charge. Many institutions who have the resources to do so, leave this work to computer programmers, missing the opportunity to share their knowledge and passion for heritage through innovative technology.

    Open Heritage Data: An introduction to research, publishing and programming with open data in the heritage sector has been written for practitioners, researchers and students working in the GLAM (Galleries, Libraries, Archives and Museums) sector who do not have a computer science background, but who want to work more confidently with heritage data. It combines current research in open data with the author’s extensive experience in coding and teaching coding to provide a step-by-step guide to working actively with the increasing amounts of data available.

    Coverage includes:

    • an introduction to open data as a next step in heritage mediation
    • an overview of the laws most relevant to open heritage data
    • an Open Heritage Data Model and examples of how institutions publish heritage data
    • an exploration of use and reuse of heritage data
    • tutorials on visualising and combining heritage datasets and on using heritage data for research.

    Featuring sample code, case examples from around the world and step-by-step technical tutorials, this book will be a valuable resource for anyone in the GLAM sector involved in, or who wants to be involved in creating, publishing, using and reusing open heritage data.



    Table of Contents

    List of case studies, figures and tables
    List of permissions
    List of abbreviations
    Acknowledgements
    Preface
    Introduction

    1. Openness in heritage

    • Heritage amateurs
    • Organising heritage in institutions
    • Physical access
    • Online access
    • Data access
    • Summary
    • Notes

    2. Sharing legally

    • Heritage laws
    • Data protection law
    • Copyright law
    • Summary
    • Notes

    3. Publishing open data

    • Galleries/art museums
    • Libraries
    • Archives
    • Museums
    • GLAM
    • Summary
    • Notes

    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

    Recently viewed products

    © 2025 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account