Worked on refining the data model documentation for the Subaru-PFS/datamodel repository, focusing on the pfsCoZCandidate component to enhance clarity and consistency in unit, error code, and warning flag descriptions. Leveraged expertise in FITS format, astronomy software, and data modeling to align documentation with product requirements, supporting more accurate data ingestion and facilitating cross-team understanding. The work included merging updates that resolved inconsistencies and improved the overall quality of the documentation. This effort enabled faster onboarding for new team members and downstream users, ensuring that technical details were clearly communicated and that the data model remained robust and reliable.