This paper argues that data repositories are not just technical storage systems, but active clinical infrastructure that can transform stroke rehabilitation research. Using aerobic exercise after stroke as a case example, it shows how shared, well-governed data can enable subgroup analyses and timing-sensitive insights that single trials cannot provide. The focus is on recovery as a dynamic, heterogeneous process and on how data sharing can support precision rehabilitation—matching the right intervention to the right patient at the right time. The paper positions rehabilitation and function as missing but essential domains in systems-oriented medicine, and presents data repositories as the bridge between infrastructure and real clinical impact.
Anita Domargård (Wed,) studied this question.