A trustworthy data and statistical analysis begins long before any code is written: it starts by ensuring the available data and methods are genuinely capable of answering a well-defined question. Once this alignment is established, a data and statistical analysis should be designed so that an independent expert - or your future self - can understand the data, methodology, and conclusions within a reasonable timeframe. Ideally, the entire lifecycle of the analysis - spanning its development, data processing, and final output - remains fully documented, trackable, and reproducible. This leads to the following core principles:
Select one of the pillars above to reveal its detailed description.