Data for Social Good

Non-Profit Sector Data Projects

AvJane Farmer,Anthony McCosker

Inbunden, Engelska, 2022

327 kr

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Häftad

327 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-10-30
Mått:148 x 210 x 15 mm
Vikt:324 g
Format:Inbunden
Språk:Engelska
Antal sidor:127
Förlag:Springer Verlag, Singapore
ISBN:9789811955532

Utforska kategorier

Mer om författaren

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.

Recensioner i media

“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)

Innehållsförteckning

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.