Fig 1.
The Data Life Cycle (the “Analyse” to “Plan” feedback has been omitted for clarity) is split into two parts, with data collection-specific tasks (top row, grey) and shared data collection/analysis parts (middle row, green); the Model Life Cycle (bottom box) is integrated into the Data Life Cycle, with model development-specific tasks (left, yellow), and model application- and model interpretation-specific tasks (right, purple). This division of steps also outlines broad divisions of effort in the team (grey: experimental work; yellow: research software engineering; purple: data science and machine learning operations; green, collective effort).