The percentage of experimental articles that contain some type of cell-level information and the importance of this type of information is consistent with observations by various groups . Including both comprehensive component-level information and cell-level metrics provides an opportunity for industry to easily make evaluations and comparisons of cutting-edge battery research and helps research groups narrow down key system limitations . This can help researchers compare potential for impact and high-priority gaps in knowledge. Quantities of materials such as electrolyte and lithium metal are often left unmeasured or unreported . By tracking and reporting these material types and quantities (e.g. "100 µL 1M LiTFSI in DME/DIOX (1:1) used as electrolyte" or "50 mg, 2 cm 2 dia. lithium metal foil used as anode"), failure mechanisms may be easier to elucidate because the performance of many next-generation chemistries change drastically based on parameters such as excess electrolyte or lithium . With an increase in reported information, these trends could be analyzed in broader ways through methods such as machine learning . Because processing methods and characterization parameters can vary drastically and the number of parameters are often extensive, many articles with such information are essential for reliable insights .