Despite recent accomplishments, rational design of organic electronic devices, particularly those that are polymer-based, still largely materialize through one-parameter-at-a-time, hypothesis-driven studies due to the limited availability of representative experimental data. The conjugated polymer materials domain is a research area with a compelling need for experimental data management solutions. While a few examples of shared datasets or databases that target organic electronics research have been reported, such as the Harvard Clean Energy Project and OCELOT, they mostly include computational data on small molecules. A recent effort in Deep4Chem mined over 1,000 peer-reviewed articles to build an experimental database of chromophores, but similar to prior efforts it largely targets electronic structure-property measurements and is not inclusive of process history. In extending database management effectively to polymer-based devices, providing data models that are inclusive of experimental processing information are priorities for storing accurate and reproducible records.