Data Management on the Citrine Platform

This white paper discusses data management practices on the Citrine platform, focusing on the chemicals and materials industry. It outlines the challenges faced in digitizing and managing data, particularly the issues of small and sparse datasets, inconsistent labeling, and the need for accessible and reusable data. The document details core needs for effective data management, including familiar workflows, intuitive user interfaces, and flexible databases that accommodate various teams and projects. It also emphasizes the importance of capturing detailed processing histories for products to enhance AI model training. The paper presents methods for uploading data, including independent uploads, data pipelines, and data preparation services. Additionally, it highlights the need for prioritizing data digitization based on identified use cases and the value of ongoing data creation. The Citrine platform aims to provide a comprehensive solution for managing data effectively in order to support AI projects and improve decision-making processes.