Common use of Data Quality Reviews Clause in Contracts

Data Quality Reviews. Data Quality Reviews (“DQR”) are a mechanism to review and analyze the utility, objectivity, and integrity of performance information. DQRs are to cover: a) quality of data; b) data collection instruments; c) survey sampling methodology; d) data collection procedures; e) data entry, storage, and retrieval processes; f) data manipulation and analyses; and g) data dissemination. MCC requires that an independent entity conduct the DQR, such as a local or international specialized firm or research organization, or an individual consultant, depending on the size of the Program or Project in review. The frequency and timing of data quality reviews must be set forth in the M&E Plan; however, MCC may request a DQR at any time. DQRs should be timed to occur before or early enough in the Compact Term that meaningful remedial measures (if any) may be taken depending on the results of the review. The methodology for the review should include a mix of document and record reviews, site visits, key informant interviews, and focus groups.

Data Quality Reviews. Data Quality Reviews (“DQRDQRs”) are a mechanism to review and analyze the utility, objectivity, and integrity of performance information. DQRs are to cover: (a) quality of data; , (b) data collection instruments; , (c) survey sampling methodology; , (d) data collection procedures; , (e) data entry, storage, storage and retrieval processes; , (f) data manipulation and analyses; analyses and (g) data dissemination. MCC requires that an independent entity conduct the DQR, such as a local or international specialized firm or research organization, or an individual consultant, depending on the size of the Program or Project in review. The frequency and timing of data quality reviews DQRs must be set forth in the M&E Plan; however, MCC may request a DQR at any time. DQRs should be timed to occur before or early enough in the Compact Term that meaningful remedial measures (if any) may be taken depending on the results of the review. The methodology for the review should include a mix of document and record reviews, site visits, key informant interviews, and focus groups.

Data Quality Reviews. Data Quality Reviews (“DQR”) are a mechanism to review and analyze the utility, objectivity, and integrity of performance information. DQRs are to cover: cover (a) quality of data; , (b) data collection instruments; , (c) survey sampling methodology; , (d) data collection procedures; , (e) data entry, storage, storage and retrieval processes; , (f) data manipulation and analyses; , and (g) data dissemination. MCC requires that an independent entity conduct the DQR, such as a local or international specialized firm or research organization, or an individual consultant, depending on the size of the Program program or Project in project under review. The frequency and timing of data quality reviews must be set forth in the M&E Plan; however, however MCC may request a DQR at any time. DQRs should be timed to occur before or early enough in the Compact Term that meaningful remedial measures (if any) may be taken depending on the results of the review. The methodology for the review should include a mix of document and record reviews, site visits, key informant interviews, and focus groups.

Data Quality Reviews. Data Quality Reviews (“DQR”) are a mechanism to review and analyze the utility, objectivity, and integrity of performance information. DQRs are to cover: a) quality of data; , b) data collection instruments; , c) survey sampling methodology; , d) data collection procedures; , e) data entry, storage, storage and retrieval processes; , f) data manipulation and analyses; analyses and g) data dissemination. MCC requires that an independent entity conduct the DQR, such as a local or international specialized firm or research organization, or an individual consultant, depending on the size of the Program program or Project project in review. The frequency and timing of data quality reviews must be set forth in the M&E Plan; however, MCC may request a DQR at any time. DQRs should be timed to occur before or early enough in the Compact Term that meaningful remedial measures (if any) may be taken depending on the results of the review. The methodology for the review should include a mix of document and record reviews, site visits, key informant interviews, and focus groups.

Data Quality Reviews. Data Quality Reviews (“DQR”) are a mechanism to review and analyze the utility, objectivity, and integrity of performance information. DQRs are to cover: cover a) quality of data; , b) data collection instruments; , c) survey sampling methodology; , d) data collection procedures; , e) data entry, storage, and retrieval processes; , f) data manipulation and analyses; analyses and g) data dissemination. MCC requires that an independent entity conduct the DQR, such as a local or international specialized firm or research organization, or an individual consultant, depending on the size of the Program program or Project in project under review. The frequency and timing of data quality reviews must be set forth in the M&E Plan; however, MCC may request a DQR at any time. DQRs should be timed to occur before or early enough in the Compact Term that meaningful remedial measures (if any) may be taken depending on the results of the review. The methodology for the review should include a mix of document and record reviews, site visits, key informant interviews, and focus groups.

Data Quality Reviews. Data Quality Reviews (“DQR”) are a mechanism to review and analyze the utility, objectivity, and integrity of performance information. DQRs are to cover: a) quality of data; , b) data collection instruments; , c) survey sampling methodology; , d) data collection procedures; , e) data entry, storage, storage and retrieval processes; , f) data manipulation and analyses; , and g) data dissemination. MCC requires that an independent entity conduct the DQR, such as a local or international specialized firm or research organization, or an individual consultant, depending on the size of the Program program or Project project in review. The frequency and timing of data quality reviews must be set forth in the M&E Plan; however, MCC may request a DQR at any time. DQRs should be timed to occur before or early enough in the Compact Term term of this Agreement that meaningful remedial measures (if any) may be taken depending on the results of the review. The methodology for the review should include a mix of document and record reviews, site visits, key informant interviews, and focus groups.

Data Quality Reviews. Data Quality Reviews (“DQR”) are a mechanism to review and analyze the utility, objectivity, and integrity of performance information. DQRs are to cover: a) quality of data; , b) data collection instruments; , c) survey sampling methodology; , d) data collection procedures; , e) data entry, storage, storage and retrieval processes; , f) data manipulation and analyses; , and g) data dissemination. MCC requires that an independent entity conduct the DQR, such as a local or international specialized firm or research organization, or an individual consultant, depending on the size of the Program program or Project project in review. The frequency and timing of data quality reviews must be set forth in the M&E Plan; however, however MCC may request a DQR at any time. DQRs should be timed to occur before or early enough in the Compact Term term of this Agreement that meaningful remedial measures (if any) may be taken depending on the results of the review. The methodology for the review should include a mix of document and record reviews, site visits, key informant interviews, and focus groups.

Data Quality Reviews. Data Quality Reviews (“DQR”) are a mechanism to review and analyze the utility, objectivity, and integrity of performance information. DQRs are to cover: cover (a) quality of data; , (b) data collection instruments; , (c) survey sampling methodology; , (d) data collection procedures; , (e) data entry, storage, storage and retrieval processes; , (f) data manipulation and analyses; , and (g) data dissemination. MCC requires that an independent entity conduct the DQR, such as a local or international specialized firm or research organization, or an individual consultant, depending on the size of the Program program or Project in project under review. The frequency and timing of data quality reviews must be set forth in the M&E Plan; however, however MCC may request a DQR at any time. DQRs should be timed to occur before or early enough in the Compact Term that meaningful remedial measures (if any) may be taken depending on the results of the review. The methodology for the review should include a mix of document and record reviews, site visits, key informant interviews, and focus groups.