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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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