Juliane Schneider

In a 20-year career specializing in metadata, ontologies and discovery, Juliane Schneider has worked in start-ups, on Wall Street in an insurance library, at NYU medical center, for EBSCO publishing, and at UC San Diego in the Research Data Curation Program. Her longest stint at any job was the six years she spent at Countway Library as the Metadata Librarian, and now she has returned to Harvard as the Team Lead/Lead Data Curator for Harvard Catalyst.

Her latest passion is for the instruction of librarians in data best practices and the tools used in data management. She is a certified instructor and trainer for The Carpentries, believing that well structured, reproducible data begins with understanding the tools and processes used to produce it (Bash, command line, regex, OpenRefine, Python, R). She has also been involved in Library Carpentry lesson development, especially for OpenRefine.

Tim Dennis

Tim is Director of the Data Science Center at UCLA Library where he provides data services, including help finding data, instruction, one-on-one consulting, and community building. He is a regular user of R, Python, SQL and command-line tools and have extensive experience helping researchers and students with these tools.

Part of his role at UCLA involves contributing to the Carpentries community, a global volunteer-run educational enterprise that teaches foundational coding, and data science skills to researchers. As part of this, Tim co-teaches two-day training sessions, both online and in person, which cover evidence-based practices from educational psychology on how people learn and how to better teach software and data skills.