Herein, we demonstrate the design and implementation of a data model for the experimental domain of OFETs as a foundation for broadly enabling database curation and management for organic thin-film electronics. Specifically, capturing process history in a manner that conforms to standard data protocols was a key challenge that was addressed by employing ISA-88, a batch process data model. Then, a database was constructed based on the model using PostgreSQL, enabling storage capabilities for both SQL (structured data) and NoSQL (documentbased data) to provide flexibility without sacrificing the advantages of data redundancy/normalization in the relational model. While the work and discussion presented provides an experimental database that applies to the OFET active layer, it also serves as a model for adaptation to other aspects of organic device experiments by designing the data structure around an accepted process standard. Moving forward, enhancing materials ontologies to comprehensively capture classifications of process steps would facilitate the future design of data models in other domains that accurately manifest the real-world experimental processes. This is a necessary pursuit in elucidating the format in which a sample's provenance is recorded within a database in FAIR data structures. Additionally, future work will build upon the preliminary body of curated experimental data to mobilize data-driven experimentation for polymer-based organic electronics.