978-981-19-5554-9.pdf
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 methodolog...
| Γλώσσα: | English |
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| Έκδοση: |
Springer Nature
2023
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| Διαθέσιμο Online: | https://link.springer.com/978-981-19-5554-9 |
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oapen-20.500.12657-61326 |
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dspace |
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oapen-20.500.12657-613262024-03-27T14:14:29Z Data for Social Good Farmer, Jane McCosker, Anthony Albury, Kath Aryani, Amir 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 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. 2023-02-13T17:28:22Z 2023-02-13T17:28:22Z 2023 book ONIX_20230213_9789811955549_61 9789811955549 https://library.oapen.org/handle/20.500.12657/61326 eng application/pdf n/a 978-981-19-5554-9.pdf https://link.springer.com/978-981-19-5554-9 Springer Nature Palgrave Macmillan 10.1007/978-981-19-5554-9 10.1007/978-981-19-5554-9 6c6992af-b843-4f46-859c-f6e9998e40d5 0e655fc9-ac47-4c1f-b790-85878632a3d7 9789811955549 Palgrave Macmillan 127 Singapore [...] Swinburne University of Technology open access |
| institution |
OAPEN |
| collection |
DSpace |
| language |
English |
| 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. |
| title |
978-981-19-5554-9.pdf |
| spellingShingle |
978-981-19-5554-9.pdf |
| title_short |
978-981-19-5554-9.pdf |
| title_full |
978-981-19-5554-9.pdf |
| title_fullStr |
978-981-19-5554-9.pdf |
| title_full_unstemmed |
978-981-19-5554-9.pdf |
| title_sort |
978-981-19-5554-9.pdf |
| publisher |
Springer Nature |
| publishDate |
2023 |
| url |
https://link.springer.com/978-981-19-5554-9 |
| _version_ |
1799945217404567552 |
