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Data for Social Good: Non-Profit Sector Data Projects

Autor Jane Farmer, Anthony McCosker, Kath Albury, Amir Aryani
en Limba Engleză Paperback – 30 oct 2022
This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations’ datasets and open public data. The book shares best practices on collaborative social data projects and methodology. For researchers, the work offers a playbook for partnering with community organisations in data projects for public good and gives worked examples of projects of various sizes and complexity.
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Specificații

ISBN-13: 9789811955563
ISBN-10: 9811955565
Pagini: 127
Ilustrații: XV, 127 p. 7 illus.
Dimensiuni: 148 x 210 mm
Greutate: 0.18 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Palgrave Macmillan
Locul publicării:Singapore, Singapore

Cuprins

Chapter 1 Introduction.- Chapter 2 Case Studies of Data Projects.- Chapter 3 Data Capability Through Collaborative Data Action.- Chapter 4 Activating for a Data-Capable Future.  

Recenzii

“Data For Social Good is a timely release given the latest spate of cybersecurity attacks and data breaches which targeted the non-profit sector emphasising the importance of digital upskilling and resourcing. … Data For Social Good combines real-life case studies involving community organisations, non-profits and government agencies with hands-on advice and guidance. The book has been designed for leaders and board members who are interested in becoming capable with data and how to get started … on data projects for public good.” (Ruby Kraner-Tucci, PRObono, brobonoaustralia.com.au, January 11, 2023)

Notă biografică

Jane Farmer is Director of the Social Innovation Research Institute at Swinburne University of Technology, Melbourne.
Anthony McCosker is Deputy Director of the Social Innovation Research Institute at Swinburne University of Technology, Melbourne.
Kath Albury is co-Leader of the Digital Inclusion Program at Swinburne University of Technology Social Innovation Research Institute.

Amir Aryani leads the Social Data Analytics Lab at Swinburne University of Technology, Melbourne.


Textul de pe ultima copertă

"Data collaboration is critical to closing societal gaps in data access and capabilities. Ironically, there is little evidence available about impactful data collaboratives, especially involving non-profits, making their data use challenging. This book fills a void by providing a unique understanding of the variables that matter. Anyone interested in using data for social good should read this book."
—Stefaan Verhulst, Co-Founder of The Govlab, New York University and Editor-in-Chief of Data & Policy
“The non-profit needs to build data capability so it continues to develop innovative services and report on high impact outcomes. Through practical examples and advice from data projects, this open access book will help make this happen.”
—Dr Catherine Brown OAM, CEO, Lord Mayors Charitable Foundation, Melbourne, Australia
This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations’ datasets and open public data. The book shares best practices on collaborative social data projects and methodology. For researchers, the work offers a playbook for partnering with community organisations in data projects for public good and gives worked examples of projects of various sizes and complexity.
Jane Farmer is Director of the Social Innovation Research Institute at Swinburne University of Technology, Melbourne.
Anthony McCosker is Deputy Director of the Social Innovation Research Institute at Swinburne University of Technology, Melbourne.
Kath Albury is co-Leader of the Digital Inclusion Program at Swinburne University of Technology Social Innovation Research Institute.
Amir Aryani leads the Social Data Analytics Lab at Swinburne University of Technology, Melbourne.

Caracteristici

Provides examples from real-life data projects involving a range of community organisations Offers new evidence about transforming raw data into value and actionable insights with open data sources Combines ‘how-to’ advice and guidance with cutting-edge research perspectives This book is open access, which means that you have free and unlimited access