PRIOR CHALLENGES 1 / Manual record keeping systems that housed all experimental data – including donor metadata, DNA stock, and prototype protein expression – were disorganized and cluttered, hindering cross- team collaboration. 2 / Legacy request management protocols were inefficient and required scientists and managers to search through scattered, disparate records on cell cultures and quality control assays. 3 / Engineering processes were out of sync and difficult to track as a result of decentralized systems of information storage and unreliable reporting on project progress. 1 / Cross-team Collaboration with Complete Experimental Context Rubius stores, shares, and interlinks all the experimental data of their samples, vectors, and engineered red blood cells in Benchling.

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