Discover how bioinformatics librarianship is expanding through the experiences of Children’s Hospital of Philadelphia's Arcus Initiative and NIH Library services in bibliometrics, bioinformatics, biostatistics, and data visualization.
Friday, October 25, 2-3pm ET | 1-2pm CT | 12-1pm MT | 11am-12pm PT
Julianna Pakstis, Children’s Hospital of Philadelphia
Julianna Pakstis works as part of the Arcus initiative to describe archived research data from across the Children's Hospital of Philadelphia (CHOP). She designs and produces metadata records and schemas for collections in the Arcus Archives. Julie previously cataloged audio-visual archival and rare book collections at Temple University, the University of Pennsylvania, and the University of Chicago Libraries.
Nicole Feldman, Children’s Hospital of Philadelphia
Nicole Feldman works as part of the Arcus initiative to archive and preserve high value research data sets from across the Children's Hospital of Philadelphia (CHOP). Her role requires capturing in context emerging data types and standards in the bioinformatics and clinical big data domains. Prior to joining CHOP, Nicole worked as a Digital Asset Manager in media publishing for Highlights for Children and Condé Nast.
A complete tool, Arcus facilitates the management of research data, including omics data, during every stage of its lifecycle. Contrasted to traditional health sciences librarian roles, the Arcus Library Science team specifically works with internal Arcus staff and research study teams to directly work with the data to collect, describe, and present it for future collaboration and reuse.
Doug Joubert, National Institutes of Health Library
Doug Joubert is the Chief of the Research Analytics Branch, where he oversees the strategic alignment of NIH Library services in bibliometrics, bioinformatics, biostatistics, and data visualization to support the mission of the NIH. Doug remains dedicated to fostering a data-driven research environment that advances the NIH’s mission of advancing science and improving public health.
The NIH Library provides comprehensive support to NIH staff at every stage of the data life cycle, from data generation and collection to analysis, interpretation, and sharing. Two primary drivers of our service model are leveraging NIH Library tools and expertise to support data analytics, data visualization, and bioinformatics, and supporting mission-critical efforts to sustain advances in the sciences, medicine, and public health.
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