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        Data for Social Good

        Non-Profit Sector Data Projects

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        Author(s)
        Farmer, Jane
        McCosker, Anthony
        Albury, Kath
        Aryani, Amir
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/61326
        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
        DOI
        10.1007/978-981-19-5554-9
        ISBN
        9789811955549, 9789811955549
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Singapore, 2023
        Grantor
        • Swinburne University of Technology - [...]
        Imprint
        Palgrave Macmillan
        Classification
        Central / national / federal government policies
        Social work
        Sociology
        Public administration
        Pages
        127
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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