🤖 AI Summary
This study examines the dual challenges of funding models and multi-stakeholder coordination that threaten the long-term sustainability of open data infrastructures. Focusing on the Dryad platform as a case, it employs qualitative analysis to systematically investigate how Dryad achieves financial sustainability by reconfiguring its relationships with users, collaborators, and competitors through four strategic approaches—reinforcement, establishment, positioning, and exclusion—while integrating novel business models and assetization pathways. The research reveals how shifts in value perception, community ethos, and governance logic profoundly shape infrastructural resilience, underscoring the centrality of relational mechanisms in sustaining open scholarly infrastructures. These findings offer replicable strategic trajectories and highlight potential tensions for comparable platforms navigating sustainability.
📝 Abstract
Sustaining open data infrastructures over time is a complex puzzle, involving dynamic funding models and relationships with customers, collaborators, and competitors. Despite their importance, these mechanisms are often hidden from view, limiting their applicability to other infrastructures. In this article, we examine how Dryad, a well-known open data infrastructure, has worked toward financial sustainability by reconfiguring relationships with other actors and by strategically implementing a new business model and process of assetization. We identify four types of relationship reconfigurations with customers, collaborators, and competitors critical to Dryad's financial evolution: reinforcing, forging, positioning, and excluding. We then analyze how Dryad's strategic efforts to develop a new fee structure have changed its interpretations of value(s), community, and governance, factors important in an infrastructure's longevity. We conclude by highlighting emerging tensions that provide insight for other open infrastructures working to become financially sustainable. As a whole, our analysis focuses not just on financial mechanisms for funding open data infrastructures (although those emerge) but on the relationships which enable them.