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Case Studies of Data Projects

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Názov: Case Studies of Data Projects
Autori: Jane Farmer, Anthony McCosker, Kath Albury, Amir Aryani
Zdroj: Data for Social Good ISBN: 9789811955532
Informácie o vydavateľovi: Springer Nature Singapore, 2022.
Rok vydania: 2022
Predmety: 8. Economic growth
Popis: Three illustrative case studies are provided of non-profit organisations’ data projects conducted by the authors, with partner non-profits, during 2017–2021. The case studies all use a collaborative data action methodology, but differ in the nature of datasets analysed, visualisations and data products generated. Case Study 1 included government departments and agencies and used datasets from public consultation, social media and news media. It generated timeline and topic visualisations about changes in the public conversation about family violence following a new policy. Case Study 2 engaged staff across several departments of three non-profits of different sizes and used operational data plus open public data to show the impact of mental health and youth employment programmes and to inform staff retention policy. Case Study 3 describes a data collaborative involving six non-profits and a bank that united to geospatially analyse internal data of organisations and open public data to examine community resilience. Overall, project participants benefitted from new learning about working with data and built relationships within and across organisations.
Druh dokumentu: Part of book or chapter of book
Jazyk: English
DOI: 10.1007/978-981-19-5554-9_2
Rights: CC BY
Prístupové číslo: edsair.doi...........d85d2a56da7b9925a60d69581f5bba24
Databáza: OpenAIRE
Popis
Abstrakt:Three illustrative case studies are provided of non-profit organisations’ data projects conducted by the authors, with partner non-profits, during 2017–2021. The case studies all use a collaborative data action methodology, but differ in the nature of datasets analysed, visualisations and data products generated. Case Study 1 included government departments and agencies and used datasets from public consultation, social media and news media. It generated timeline and topic visualisations about changes in the public conversation about family violence following a new policy. Case Study 2 engaged staff across several departments of three non-profits of different sizes and used operational data plus open public data to show the impact of mental health and youth employment programmes and to inform staff retention policy. Case Study 3 describes a data collaborative involving six non-profits and a bank that united to geospatially analyse internal data of organisations and open public data to examine community resilience. Overall, project participants benefitted from new learning about working with data and built relationships within and across organisations.
DOI:10.1007/978-981-19-5554-9_2