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NEC Spotlight November 17th, 2024
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May

30

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2024 NNLM Data Visualization Challenge: Congrats to the Winners!

Posted by on May 30th, 2024 Posted in: Blog


The National Evaluation Center is pleased to announce the winners of the NNLM Data Visualization Challenge. Now in its second year, the challenge encouraged participants to push the boundaries of their skills by testing out new tools, techniques, or approaches while producing their best visualizations using publicly available data.

Eligibility was open to adults in the United States who had taken part in NNLM activities (e.g., training, events, or funding) or who are health sciences library staff, librarians working in non-library settings, library students, or staff members of the NNLM’s Regional Medical Libraries, Offices, or Centers (ROCs).

All eligible submissions were judged by a panel of three experts in the field:

  • Marci Brandenburg, MS, MSI – Bioinformationist at the University of Michigan Taubman Health Science Library
  • Sally Gore, MS, MSLIS – Research & Scholarly Communications Services Manager, Lamar Soutter Library at the UMass Chan Medical School
  • Kimberly Thomas, MPH – Strategic Evaluation Officer for the National Library of Medicine at the National Institutes of Health

For their efforts in showcasing strong visualization techniques and effectively targeting their intended audiences, the 2024 awards were presented to:

Complex Visualization (First Place)
Global Snapshot: Physician Distribution and Density of Physicians per 1000 population- Worldwide 2021
Mirian Ramirez, Ruth Lilly Medical Library, Indiana University School of Medicine

Complex Visualization (Bright Futures)
Autism Infographic
Mary Catherine Ellis, San Diego State University

Congratulations to Mirian and Cat for their insightful visualizations. We extend our thanks to our wonderful judges, Marci, Sally, and Kimberly, and to all submitters for their participation. Don’t forget to check out the featured profiles of our winners: Mirian Ramirez and Mary Catherine Ellis.

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This project is funded by the National Library of Medicine (NLM), National Institutes of Health (NIH) under cooperative agreement number UG4LM012343 with the University of Washington.

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