Choosing reliable protocols for new experiments is a problem laboratories routinely face. Experimental practices differ immensely across laboratories, and precise details of these practices may be lost or forgotten as skilled members leave the lab. Such fragmentation in protocol methods and their documentation often hampers scientific progress. Indeed, there are few well-defined protocols that are generally agreed upon by the scientific community, in part due to the lack of a system that measures a protocol’s success. In turn, the lack of commonly accepted protocols and inadequate documentation affects experimental reproducibility through method inconsistencies across laboratories. Review studies even estimate that only 10-25% of published scientific results are reproducible, and up to 54% of materials/antibodies/organisms are not identifiable for reproducibility studies (https://peerj.com/articles/148/). This is an alarming figure and suggests that many of the results we base continued research and development on are inaccurate or cannot be replicated independently.