Activating for a Data-Capable Future
Roslyn Layton
- 30 Oct 2022
pp 89-112
TL;DR: In this paper , the authors summarise the goals and stages of building data capability for non-profits, considering data capability as a resource for corporate upskilling, the facilitator of a more resilient sector and social justice activism.
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Abstract: Abstract The book concludes by summarising the goals and stages of building data capability for non-profits, considering data capability as a resource for corporate upskilling, the facilitator of a more resilient sector and social justice activism. The middle part of the chapter considers useful actions leading up to initiating data projects and ways to proceed after initial data capability is built. Options for how to access staff skills and technologies that may be beyond the investment of individual organisations are covered and a role for philanthropic organisations to support the sector is suggested. Current challenges in working with data are examined in light of emerging legal, structural and technological developments. Innovations are critiqued for their potential to address non-profit sector data analytics challenges. The chapter ends by reflecting on research issues raised from the authors’ data projects with non-profits and highlights avenues for future research.
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References
Positionality: Reflecting on the Research Process
TL;DR: The authors provided a reflection on the role of positionality in research, following the completion of a qualitative research project and highlighted the potential challenges and opportunities of being cognizant of one's positionality.
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TL;DR: The goal is that stewards and other users of Indigenous data will ‘Be FAIR and CARE’ and the Principles complement the existing data-centric approach represented in the ‘FAIR Guiding Principles for scientific data management and stewardship’ (Findable, Accessible, Interoperable, Reusable).
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