Often when researchers are looking to reproduce experiments from the literature, the most important piece of supporting information is the characterization data, particularly in organic and organometallic synthesis. However, static images of spectra are limited to the information that the authors chose to present and also by how they processed the data. At the minimum, this poses a limitation to readers who may be curious about a feature outside of the window the authors chose to display or that is too small to make out at the depicted vertical scale. Presenting the underlying data to the reader offers the possibility of reprocessing, zooming in and manipulating the data in an interactive way; not only does this give the reader more agency to investigate the characteristics that are relevant to their work, it increases the reproducibility of the original work by removing ambiguity around the spectral data. ACS Research Data Center offers a way to package the underlying data in a consistent format to submit to a journal.