Rebecca Boyles

Rebecca Boyles is the Founding Director of the Center for Data Modernization Solutions at RTI International, where she leads a team developing fit-for-purpose solutions to enable clients to use data for the public good. The Center for Data Modernization Solutions bridges the research- information technology gap, applying a data ecosystem perspective that enables clients to maximize the value of their data assets. She has deep expertise in team science to support data-driven collaboration and Findable, Assessable, Interoperable, and Reusable (FAIR) data principles across the research data lifecycle through trainings, consulting and system design. 

She is the Co-PI of the NHLBI BioData Catalyst Coordinating Center, which oversees the architecture and FAIR data framework for the cross-cloud, advanced cyberinfrastructure which brings together genomics workflows, community tools, secure workspaces, and data management functions into an unified ecosystem. She also serves as a Co-PI on the NIH Helping to End Addiction Long-term (HEAL) Initiative HEAL Data Stewards effort which serves as a resource to HEAL investigators for making their data FAIR and ready for analysis including artificial intelligence applications. She is working with the environmental health science community-supported common vocabularies and ontologies for describing data and works to make data more valuable through contributions to Research Data Alliance and the Global Alliance for Genomics & Health. 

While a data scientist at the National Institute of Environmental Health Sciences, Ms. Boyles clarified the strategic vision for the environmental health science data ecosystem, leveraging existing data assets to respond to timely public health issues. She identified opportunities to catalyze scientific advancements in chemical safety and public health through interactions with broad stakeholder groups. She also liaised with leadership and served as Science Officer on the Data Discovery Index, Frameworks for Community-Based Standards, and The Center for Predictive Computational Phenotyping.