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Agile frameworks for holistic data stewardship

"Agile frameworks for holistic data stewardship: A relational approach to developing tools within community-university partnerships" Presented by Daisy Rosenblum and Dante Cerron (and with contributions from Julia Chu, Olivia Chen, David Gaertner) at the Language Documentation and Archiving Conference, Berlin & Online, 4-6 Sept, 2024 #lda2024 Many Indigenous communities are embracing new media technologies to support their goals of maintaining linguistic and cultural continuity. Community researchers are seeking innovative ways to mobilize collective knowledge through audio, video, and other ‘content’ deployed on web- and mobile-based platforms. These tools generate and draw on extensive reserves of born-digital and digitized legacy data of diverse formats, types, and origins, all of which needs to be managed, labeled, described, and organized. The resulting processes and practices of data governance and stewardship are critical sites of collaboration for community- and university-based researchers. This paper presents a Content Management System (CMS) built in Drupal and React, created for the stewardship of digital data related to prototyping new media storytelling projects. We describe our attention to principles such as CARE (Collective Benefit, Authority to Control, Responsibility, and Ethics), OCAP (Ownership, Control, Access, and Possession), and FAIR (Findable, Accessible, Interoperable, and Reusable), alongside the ways these principles sometimes contradict each other. Considering the role of data in relation to sovereignty and resurgence, relational ethics, and decolonization guides our application of these frameworks. Our work highlights the value of adapting Agile methodologies from industry contexts (cf. Beck et al. 2001) to community-engaged research models. Agile development’s incremental and evolutionary approach prioritizes individuals and interaction, collaboration with community stakeholders, and a flexible, responsive stance. Agile's iterative processes frequent opportunities for feedback are particularly well-suited to community-engaged research partnerships, offering a flexible and responsive development model that supports the ethical, participatory, and dynamic needs of community-engaged research. In contrast to the “waterfall” lifecycle of traditional data management which follows a linear lifecycle, moving from planning to storage in a predictable sequence and echoing the legacy of extractive approaches to research ‘on’ communities’ languages, rather than with or for them, Agile development offers the potential for a more nuanced, equitable approach to data lifecycle management that recognizes and rectifies the imbalance between community contributions and researcher gains. Beck, Kent; James Grenning; Robert C. Martin; Mike Beedle; Jim Highsmith; Steve Mellor; Arie van Bennekum; Andrew Hunt; Ken Schwaber; Alistair Cockburn; Ron Jeffries; Jeff Sutherland; Ward Cunningham; Jon Kern; Dave Thomas; Martin Fowler; Brian Marick (2001). "Principles behind the Agile Manifesto". Agile Alliance. Archived from the original on 14 June 2010. Retrieved 6 June 2010.