Robust means that the data “remains reliable, accurate, and valid under a wide range of conditions and assumptions. It is characterized by its ability to withstand and provide consistent results despite potential variations, errors, or uncertainties in the data collection process.”
The opposite of “robust data” is “fragile data” or “non-robust data.” This type of data is susceptible to inaccuracies, inconsistencies, and biases, making it unreliable and potentially misleading for analysis and decision-making.