%0 Conference Paper %A Goodman, Alyssa %A Borkin, Michelle %A Robitaille, Thomas %A Zucker, Catherine %D 2020 %T SI2-SSE: A Sustainable Future for the Glue Multi-Dimensional Linked Data Visualization Package %U https://figshare.com/articles/poster/SI2-SSE_A_Sustainable_Future_for_the_Glue_Multi-Dimensional_Linked_Data_Visualization_Package/11803137 %R 10.6084/m9.figshare.11803137.v1 %2 https://ndownloader.figshare.com/files/21541515 %K NSF-CSSI-2020-Talk %K data visualization %K Astrophysics %K Open Software %K Medicine %K Geospatial Information Systems %X glue is an open-source python-based software package that enables scientists to explore relationships within and across related datasets. Without merging any data, glue makes it easy to make multi-dimensional linked visualizations of datasets, select subsets of data interactively or programmatically in 1, 2, or 3 dimensions, and to see those selections propagate live across all open visualizations (e.g., histograms, 2 and 3-d scatter plots, images, 3-d volume renderings, etc.). While originally designed as a desktop application, we have built a new prototype interface for glue in JupyterLab, a browser-based environment that supports multi-panel interactive visualizations alongside narrative text, code, and figures. We demonstrate the functionality of glue in the JupyterLab environment, and show how it can be a powerful multi-disciplinary tool for making discoveries across many scientific disciplines. %I figshare