The Charts are Off: Approaches to Ethical Decision-Making in Data Visualization

Posted by elizabethwaltman on October 14th, 2020 Posted in: Continuing Education, Data Science, Research Data Management

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Description: Many of us work in environments filled with “data-driven” decision-making and regular reporting of data to justify our budgets and planning. Data Visualization can be a powerful tool for telling our story and presenting the facts on the ground, but how can we make ethically informed decisions when visualizing our data? This talk will discuss different ethical frameworks and how they can inform the decisions we make in data visualization. We aim to go beyond discussion of avoiding misleading charts and into the ethical decision-making frameworks that inform how to present our data.

This is part of the Research Data Management Webinar Series.

Presenters:

Nicole Contaxis, MLIS is the Project Lead for the NYU Data Catalog at the NYU Health Sciences Library. Nicole develops the vision and strategy for the future of the NYU Data Catalog, including software development, curation, and partnerships with allied departments at the institutions. She leads NYU’s participation in the Data Discovery Collaboration, a national effort to improve institutional data discovery. Her areas of interest include data sharing, data ethics, and community engagement. Nicole is a former National Digital Stewardship Resident at the National Library of Medicine. She received her MLIS from UCLA and is currently working on her M.A. in Bioethics at NYU.

Fred LaPolla, MLS is a Research and Data Librarian and Lead of Data Education at NYU Health Sciences Library. He works with the library’s Data Services team and serves as liaison to the Departments of General Internal Medicine and Clinical Innovation (DGIMCI) and Radiology. Fred also teaches Rigor and Reproducibility and R Programming in the Grossman School of Medicine Sackler Institute of Graduate Biomedical Sciences. He is passionate about professional education and finding ways to facilitate learning around data collection, management, visualization and analysis. Fred holds a Masters of Library Science (MLS) from Queens College, CUNY.

When: October 22^nd, 2020 | 11 AM PT/ 12 PM MT/ 1 PM CT/ 2 PM ET

Register: https://nnlm.gov/rdm-webinar-oct2020