What quality control processes and measures are in place in NDAR?
The NIH is implementing a two-tiered data control procedure for information and images submitted to NDAR. Such efforts help to ensure that the information submitted has undergone reviews for accuracy, completeness, and availability. The first level of quality control is performed by the researcher who is expected to certify the accuracy of the information prior to submission. Additionally, all data provided to NDAR undergoes automated validation using the NDAR Data Validation tool before it is even received into the NDAR Data Repository. The NDAR Validation Tool checks the data proposed for submission against the NDAR Data Dictionary to ensure that the data comply with the standards established in the data dictionary. Currently, this tool provides item-level validation. The second level of quality control occurs when data and/or images are submitted to NDAR for broad research access. The NIH provides a period of up to nine months to allow the submitter and the NIH to undertake activiti
