Current Research

Exploring the contextual factors contributing to the success of data-sharing architectures

Incorporating interdisciplinary Great Lakes data to address ecosystem-level management questions is currently challenging because the data critical to characterizing the Great Lakes ecosystems are scattered and uncurated when accessible. The need for accessible data is greater than ever given the many interdisciplinary management problems that exist due to human-driven ecosystem change. We are currently in the very early stages of developing a data-sharing initiative (Project Janus) that offers an integrative approach to organize, catalog, share, and curate data to support research and management, which in turn can help the push for ecosystem-based approaches to management in the Basin. As part of the developmental stages of this initiative, we are exploring the contextual factors contributing to the success of data-sharing architectures by conducting semi-structured interviews with different individuals who were either previously or currently involved in the development, implementation, or management of a data-sharing architecture.