Despite the myriad number of scientific advances that have occurred in the past decade alone, many laboratory processes, particularly as they apply to data collection and sharing, remain outdated to the point of archaic, often stifling collaboration and potentially delaying scientific advances. Researchers spend an inordinate amount of time observing experiments in person, taking measurements on their instruments before copying the information by hand into lab notebooks and entering it into spreadsheets and electronic notebooks to share with other scientists. Compounding the tedium and potential for human error is the fact that access to data is hindered by a lack of uniformity among a wide range of manufacturers and instruments using disparate languages, formats and systems. Spin Wang recognized these laboratory pain points while working as a researcher at the MIT Department of Electrical Engineering and Computer Science.