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    Springer Nature | Palgrave Macmillan
    Publication Date: 2024-04-06
    Description: 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 partnerships ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies ; thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKS Social welfare and social services::JKSN Social work ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration
    Language: English
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