Data Usability. Data usability is the process of evaluating verified/validated data to determine if they can be used for the purpose of the project. Data usability includes the following: ■ Evaluating individual data sets to identify the measurement performance/usability issues/problems affecting the ultimate achievement of the DQOs; ■ Evaluating all of the data generated for the project; and ■ Documenting the project-specific measurement performance criteria and data verification/validation criteria documented in the QAPP to determine if they were appropriate for meeting project DQOs. The data validator will validate data quality, as previously discussed, to assess potential effects of deviations from the QAPP and the effect on the DQOs.
Data Usability. Should The Bank determine that Business Entities’ input is unreadable or cannot be processed, Business Entity will be notified and a replacement file requested. Business Entity must then indicate when the replacement file will be available to The Bank. Should it be determined that a replacement file cannot be provided before the Processing Schedule deadline, Business Entity will be advised of available processing options.
Data Usability. Data collectors should consider all possible data end uses when developing a plan for data verification, review, and validation. Figure 5-1 presents the steps that should be used during final project data evaluation. For each data collection activity , the data collector must select analytical methods, target analytes, sensitivity requirements, and quality control requirements that meet the needs of the most critical end us e objective under consideration.
Data Usability. Following completion of the data reviews described in the Section 14.0, the QAE and SRE will determine what data, if any, is unusable. Data deemed unusable may be qualified through additional inspection, calculation, or evaluation. In cases where such data is from the contract laboratory, that facility may be asked for additional information to support that effort. Acceptable data will be evaluated to ensure the project DQOs have been satisfied. In the event data gaps still exist, additional effort to satisfy the DQOs will be specified as appropriate. This Page Intentionally Left Blank
