A new paper, entitled “Eleven Tenets for the Integrated, Evolving and Sustainable Management of European Research Infrastructure Consortia”, has recently been published in the Biodiversity Data Journal. The paper is authored by Christos Arvanitidis, Cristina Huertas Olivares, Mike Elliott, Alberto Basset, Anne Fouilloux, Ohad Graber-Soudry, D. (Dimitris) Koureas, Lucas de Moncuit, Roland Roberts, Antonio José Saenz-Albanes and Peter van Tienderen.
Research Infrastructures play an increasingly important role in scientific discovery, innovation and evidence-informed policy. At the same time, their management has become increasingly complex, requiring scientific, technological, organisational and societal aspects to be considered together rather than in isolation.
The paper proposes an eleven-tenet framework for the integrated, evolving and sustainable management of European Research Infrastructure Consortia (ERICs). Building on previous tenet-based approaches, the framework brings together scientific, technological, economic, administrative, political, legal, societal, environmental, ethical, cultural and communication dimensions within a single structure. A new, eleventh tenet focuses on enabling scientific excellence, recognising that while scientific excellence is generated by the research communities using an infrastructure, ERICs play a crucial role in enabling it through high-quality data, services and collaborative environments.
The framework is intended as a tool to support strategic reflection, identify potential gaps and challenges, and promote more integrated and adaptive approaches to the long-term management and sustainability of ERICs. While developed in the European context, the authors highlight that many of the challenges addressed are relevant to Research Infrastructures more broadly. The paper is the result of a collaborative effort involving researchers and experts from several European and international institutions, including LifeWatch ERIC. The article is available as open access in the Biodiversity Data Journal: https://bdj.pensoft.net/article/212181.









