Data Quality Assurances Clause Samples

Data Quality Assurances. The quality of reported data depends on the strength of the underlying data management and reporting systems. ▇▇▇▇▇-▇ will engage grantees in data collection processes as frontline actors for certain indicators; as such, the ▇▇▇ team supporting SADES-K will put an emphasis on developing the capacity of grantees as needed. This includes capacity development in data collection and utilization for strategic planning and adaptive management. Consistent monitoring of progress towards the outcomes of SADES-K will require that grantees have a clear understanding of the SADES-K indicators that they need to track and what methods are appropriate for data collection. Therefore, all SADES-K grantees will be expected to participate in a comprehensive M&E course in the beginning of their grant. As part of the course, grantees will become familiar with the common SADES-K indicators and receive training in all tools developed by SADES-K for standardizing reporting across all grantees and to ensure data quality and consistency. SADES-K will use uniform indicator reporting forms on its shared online data management system to ensure efficient, timely, and consistent indicator data collection across all grantees contributing to a given indicator. Given that SADES-K is an Associate Award, we will use a standard data quality assurance process to: 1. Verify the quality of data reported (check for validity, integrity, precision, reliability, and timeliness) 2. Assess the data-management and reporting systems used by all SCS Global and Associate Award implementers 3. Develop action plans to address any improvements or changes needed in both the data and the data management and reporting systems A System Assessment Protocol will support the implementation of the data quality assessments (DQAs) and will be administered at each level of the data collection and reporting systems. The main purpose of the System Assessment Protocol is to identify potential challenges to the quality of reported data. The assessment of the data management and reporting systems takes place in two stages: first, an off-site desk review of documentation provided by Associate Award implementers, and second, follow-up visits to the implementers by the SCS Global ME&L Specialist or Associate Award M&EL Specialists, as appropriate. Following ADS 201.3.5.8 guidance, all data will be reviewed for validity, reliability, timeliness, precision and integrity throughout the life of the project.