Druck auf Anfrage Neuware - Printed after ordering - 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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Bibliographic Details

Title: Data for Social Good : Non-Profit Sector Data Projects
Publisher: Springer Nature Singapore
Publication Date: 2022
Language: English
ISBN 10: 9811955530
ISBN 13: 9789811955532
Binding: Buch
Condition: Neu
Dimensions: 216 millimeters width by 153 millimeters height by 13 millimeters depth
Weight: 308 grams

About this title

Synopsis

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.

About the Author

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.

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