Outstanding questions
Lifecycle-aware evaluation of biomedical data ecosystems
At what break-even point does the curation cost of a shared dataset get recovered by downstream reuse, and how should that point inform the decision to invest in further sharing versus letting a resource sunset?
As the data-citation gap persists, what KPI should replace raw citation counts as the primary measure of data-resource impact, and how do we collect it at portfolio scale without burdening individual projects?
How should cross-disciplinary co-authorship arising from a shared dataset be weighted relative to direct citation when evaluating a resource’s scientific influence?
What is the right cadence for re-assessing the FAIR maturity of an active data resource, who owns the re-assessment, and how do we keep the process tractable as portfolios grow?
As AI-driven and agent-based traffic on data portals continues to grow, how do we partition it into noise to remove versus signal to interpret as evidence of resource value?
What governance structures keep federated evaluation frameworks honest as they evolve, so that metrics continue to serve funders’ strategic questions rather than drifting toward data managers’ reporting convenience?