3b. The Modelling Project Issues Log-Book
Models, applications, and projects should have an internal log-book summarizing all relevant modelling issues arising during the course of their development. The Data Scientist will document any and all known data issues that might caveat the results obtained, the performance of models/algorithms, and future possible applications of the output models/algorithms (for example, known selection bias, the scale of data, the repurposing of existing data, and so on) in a format that can be easily made available to colleagues, managers and decision makers. Such a log-book is the property of the Data Scientist’s employer.
Log books should include the following issues where arising: