Associate Professor, University of Michigan, School of Nursing Data Quality in Federated Research Networks Federated research networks have emerged in healthcare, largely in response to the expanding volume and variety of data that are stored electronically. While such networks offer tremendous opportunities to expand research capabilities across the entire spectrum of biomedical research, such networks also present new challenges to fundamental considerations of data reuse for research. Data quality is one such challenge, including its definition, dimensions, processes required to support data quality across complicated data flows that can be broken at any point, and metrics that allow users of those data to ask whether the data are “fit for use”. Referencing ISO 9000 (quality management systems) and ISO 8000 (information and data quality), we first compare data quality concepts across various groups developing best practice documents for distributed healthcare research networks, and then specifically illustrate issues from a “data partner” perspective. Although specific examples are in the context of the “bottom-up” perspective of one node in one clinical data research network of PCORnet (the National Patient-Centered Clinical Research Network), we generalize to the notion of data quality characterization and an organizational data architecture that enables decision making regarding participation in other federated research networks. Bio Dr. Harris’s career spans both research and practice experience in informatics and health services research, specifically clinical data integration and semantics, and the development and deployment of systems and processes that enable data integration for practice and large scale research. She currently serves as a co-investigator and faculty lead for the University of Michigan node of the Patient Centered Network of Learning Health Systems (LHSNet), a clinical data research network within PCORnet, and also serves on the University’s Translational Research Council. Prior to joining the faculty at the University of Michigan, she held appointments at Mayo Clinic as a career scientist in the Department of Biomedical Statistics and Informatics and an executive operational role for nursing research and clinical informatics.