Identify what contributes to measurement uncertainty and, using suitable methods, take account of every significant contribution, sampling included. A laboratory that calibrates, including calibrating its own equipment, has to evaluate the uncertainty of measurement for every calibration it performs. A laboratory that tests shall evaluate measurement uncertainty and, where the method does not allow a rigorous evaluation, estimate it from how the method works in theory or from practical experience with it (following a recognized method that sets limits on the main sources of uncertainty and states how results are reported meets this).
This control maps to 2 controls across 1 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.
The graph holds this control, the 2 it maps to, and the evidence behind each claim, over MCP and REST.