Accuracy Assessments Clause Samples

Accuracy Assessments. Based on a sample review by OPM, OPM estimates its civil service benefit and payment data records are 95 percent accurate. Based on internal consistency checks and SSN/name verification procedures, SSA estimates that at least 99 percent of the name and SSN information on SSA’s records is accurate.

Accuracy Assessments. VA currently estimates that 99% of the VA information to be used in this matching program is accurate for the purposes of this matching program. CMS estimates that the CMS records to be used in this matching program are at least 99% accurate.

Accuracy Assessments. The disclosure of the corporate record disability data from VA’s database is 99 percent accurate. The VA compensation data is virtually 100 percent accurate at the time the data is created. NSLDS is a large repository of student grant and loan information. The data reported to NSLDS comes from multiple entities including other FSA systems, schools, guaranty agencies, and Federal loan servicers. Before data is loaded to NSLDS, it must go through a series of edit validations to ensure the data reported meets the published reporting requirements. For all NSLDS data providers who reported for both 2015 and 2016, the combined edit pass rate was 96.87 percent. The “passage” rates are based on the NSLDS 2016 Annual Data Quality Report, Version 1.0, dated May 17, 2017 published by NSLDS.

Accuracy Assessments. SSA does not have a MBR accuracy assessment specific to the data elements listed in this agreement. However, SSA conducts periodic, statistically valid, stewardship (payment accuracy) reviews, in which the benefits or payments listed in this agreement are included as items available for review and correction. SSA quality reviewers interview the selected OASDI beneficiaries/recipients and redevelop the non-medical factors of eligibility to determine whether the payment was correct. Based on the available study results, we have a reasonable assurance that SSA’s accuracy assumptions of at least 99 percent confidence level for the monthly benefits or payments listed in this agreement. “FY 2021 Title II Payment Accuracy Stewardship Report, August 2022”. The RRB match with SSA's payment records consists of key identification data, of which the major identifier is the SSN. RRB records indicate that the records are virtually 98 percent accurate.

Accuracy Assessments. A. DoD/DMDC DoD/DMDC records are extracts of personnel records with data provided by the retiree or his or her agency. Experience with matching programs and analyses performed by DoD/DMDC show these records are at least 95 percent accurate. DoD/DMDC will withhold or flag any records that appear problematic and those on which at least two data elements (e.g., name and SSN) do not match.

Accuracy Assessments. Previous matches with the same files indicate that the SSNs on DOL records are at least 99 percent accurate. The DOL data is nearly 100 percent accurate at the time of creation.

Accuracy Assessments. SSA does not have an accuracy assessment specific to MINE disability data alone; however, SSA annually conducts statistically valid quality assurance (QA) reviews. The quality review standard for QA reviews is a full review of all documents to ensure all aspects of the disability determination adhere to policy, including an evaluation of the diary. During the quality review process, if any diary is incorrect SSA will correct it to reflect the correct diary at the time of adjudication. Using this study, a review of Fiscal Year (FY)17 and FY18 data samples show diary accuracy at approximately 93%-94% for FY 2017 and 96%-97% for FY 2018 before our correction. NSLDS is a large repository of student grant and loan information. The data reported to NSLDS comes from multiple entities including other FSA systems, schools, guaranty agencies, and Federal loan servicers. Before data is loaded to NSLDS, it must go through a series of edit validations to ensure the data being reported meets the published reporting requirements. For all NSLDS data providers who reported for all of the 2018 and 2019, the combined edit pass rate was 96.74 percent, and for all NSLDS data providers who reported for both 2017 and 2018, the combined edit pass rate was 97.67 percent. These passage rates are based on the NSLDS 2019 Annual Data Quality Report, Version 1.0, dated April 14, 2020 and NSLDS 2018 Annual Data Quality Report, Version 0.1 Draft, dated March 28, 2019, respectively, published by NSLDS.

Accuracy Assessments. A. The IRS will initially validate all SSNs and Name Controls provided by VHA against the National Account Profile (NAP)-DM1 file prior to matching the records against the IRMF. The correctness of the return information provided to VHA is generally contingent upon the correctness of the information provided by the payer of the income. B. VHA's identifying information is 99% correct. Based on the verification of the name and social security numbers in VHA's records and internal verification procedures, at least 99% of the name, SSN and benefit information are accurate. ‘

Accuracy Assessments. A. IRS will initially validate all SSNs and Name Controls provided by VBA against the National Account Profile (NAP)-DM1 file prior to matching the records against the IRMF. The correctness of the return information provided to VBA is generally contingent upon the correctness of the information provided to IRS by the payer of the income. B. VBA previous matches with the IRS indicate that names and SSNs in VBA records are at least 99 percent accurate. VBA internal verification procedures of the name, SSN, and benefit information is at least 99 percent accurate.