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Data Capability Through Collaborative Data Action

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Název: Data Capability Through Collaborative Data Action
Autoři: Jane Farmer, Anthony McCosker, Kath Albury, Amir Aryani
Zdroj: Data for Social Good ISBN: 9789811955532
Informace o vydavateli: Springer Nature Singapore, 2022.
Rok vydání: 2022
Popis: This chapter explains how data capability for non-profit organisations involves having the right skills, technologies and data management practices that match different organisations’ size, mission and contexts. Data capability is a holistic concept, and capability of organisations will flex over time and with changes in organisational goals, work and wider context. The chapter also presents a collaborative data action methodology to help non-profits build towards the data capability that suits their work and context. The collaborative methodology emphasises ‘learning by doing’ involving multi-disciplinary teams and diverse perspectives and addressing actual challenges of non-profits—at least in part—through re-using internal data. The collaborative data action methodology was developed and refined over time based on the authors’ learning from multiple data projects. It features cycles of analysing, visualising and interacting with data. Since collaboration is recommended, the authors provide suggestions about where and how to find data collaborators. The last section explains the significance of responsible data governance, with two key concepts that underpin being able to re-use data optimally—data consent and ethics—particularly explored. While ethics and consent are relevant for all data projects, they are particularly salient when considering advanced projects, such as those involving data collaboratives.
Druh dokumentu: Part of book or chapter of book
Jazyk: English
DOI: 10.1007/978-981-19-5554-9_3
Rights: CC BY
Přístupové číslo: edsair.doi...........1db8bfcf62e9c8dbbc2ca6e38477df8d
Databáze: OpenAIRE
Popis
Abstrakt:This chapter explains how data capability for non-profit organisations involves having the right skills, technologies and data management practices that match different organisations’ size, mission and contexts. Data capability is a holistic concept, and capability of organisations will flex over time and with changes in organisational goals, work and wider context. The chapter also presents a collaborative data action methodology to help non-profits build towards the data capability that suits their work and context. The collaborative methodology emphasises ‘learning by doing’ involving multi-disciplinary teams and diverse perspectives and addressing actual challenges of non-profits—at least in part—through re-using internal data. The collaborative data action methodology was developed and refined over time based on the authors’ learning from multiple data projects. It features cycles of analysing, visualising and interacting with data. Since collaboration is recommended, the authors provide suggestions about where and how to find data collaborators. The last section explains the significance of responsible data governance, with two key concepts that underpin being able to re-use data optimally—data consent and ethics—particularly explored. While ethics and consent are relevant for all data projects, they are particularly salient when considering advanced projects, such as those involving data collaboratives.
DOI:10.1007/978-981-19-5554-9_3