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Irrespective of data size and complexity, query and exploration tools for accessing data resources remain a central linkage for human-data interaction. A fundamental barrier in making query interfaces easier to use for health data, ultimately as easy as online shopping, is the lack of faceted, interactive capabilities. This talk will present a research program and progress made to repurpose existing ontologies by transforming them into nested facet systems (NFS) to support human-data interaction. Two basic research topics arise: one is that the structure and quality of biomedical ontologies need to be examined and elevated for the purpose of NFS; the second is that mappings from data-source specific metadata to a corresponding NFS need to be developed to support this new generation of NFS-enabled web-interfaces. I will motivate the concept of NFS using an array of data resource examples, provide a preliminary order-theoretic formulation for NFS, and demonstrate NFS interfaces that have been deployed to illustrate the conceptual and design considerations involving NFS."