Data for Social Good

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.

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

Autorentext

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.

Inhalt
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.