Detalles Bibliográficos
| Title: |
Data for Social Good |
| Autores: |
Farmer, Jane, McCosker, Anthony, Albury, Kath, Aryani, Amir |
| Información do Publicador: |
Singapore: Springer Nature; Palgrave Macmillan, 2023. |
| Ano de Publicación: |
2023 |
| Original Material: |
Swinburne University of Technology |
| Subject Terms: |
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, Central / national / federal government policies, Social work, Sociology, Public administration |
| Descripción: |
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. |
| Tipo de documento: |
eBook |
| Descrición do Arquivo: |
image/jpeg |
| Idioma: |
English |
| ISBN: |
978-981-19555-4-9 |
| DOI: |
10.1007/978-981-19-5554-9 |
| URL de acceso: |
https://directory.doabooks.org/handle/20.500.12854/97667
https://library.oapen.org/handle/20.500.12657/61326
https://library.oapen.org/bitstream/20.500.12657/61326/1/978-981-19-5554-9.pdf |
| Rights: |
open access
URL: http://purl.org/coar/access_right/c_abf2
URL: http://creativecommons.org/licenses/by/4.0/ |
| Notas: |
ONIX_20230213_9789811955549_61
OCN: 1356577894 |
| Número de acceso: |
edsdob.20.500.12854.97667 |
| Base de Datos: |
Directory of Open Access Books |