Data for Social Good
Non-Profit Sector Data Projects
Author(s)
Farmer, Jane
McCosker, Anthony
Albury, Kath
Aryani, Amir
Language
EnglishAbstract
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.
Keywords
data science practice; social data analytics research; evaluation science; social impact measurement; NGO and government sector; data for social good; data for public good; social data analytics; social data analysis; data driven social partnershipsDOI
10.1007/978-981-19-5554-9ISBN
9789811955549, 9789811955549Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Singapore, 2023Imprint
Palgrave MacmillanClassification
Central / national / federal government policies
Social work
Sociology
Public administration