Project Records

From The Foundation for Best Practices in Machine Learning

Project Records[edit]


Develop and document a process for preserving data of the information considered when making significant product decisions. Include any methods for standardized experiment tracking and artifact capturing that are developed by Data Science and Engineering. Develop a continuously maintained and consistently available repository for Product Requirements and any data related to their updates.


To (a) maintain a historical record of Product and data and ensure that all iterations of Product Requirements are continuously available to Stakeholders; and (b) highlight associated risks that might occur in the Product Lifecycle.

Additional Information[edit]