Accuracy Assessments. The SSA Enumeration System used for SSN matching is 100 percent accurate based on SSA’s Office of Analytics, Review, and Oversight. “FY 2018 Enumeration Accuracy Review Report, April 2019.” SSA does not have a MEF accuracy assessment specific to the data elements listed in this agreement. The correctness of the return information provided to SSA, as an agent for the Internal Revenue Service (IRS), is generally contingent upon the correctness of the information provided by the payer of the income. Previous matches with the same files indicate that VA/VHA’s records are at least 99 percent accurate.
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”. SSA does not have a MEF accuracy assessment specific to the data elements listed in this agreement.
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.
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. 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. 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. A. IRS will initially validate all SSNs and name controls provided by SSA against the National Account Profile (NAP)-DM1 file prior to matching the records against the IRMF. The correctness of the return information provided to SSA is generally contingent upon the correctness of the information provided by the payer of the income.
Accuracy Assessments. Based on a sample review by OPM, OPM estimates its civil service disability benefit and payment data records to be 95 percent accurate. SSA does not have an accuracy assessment specific to the data elements listed in this appendix. However, SSA conducts assessments of the data in its Systems of Records as part of its ongoing financial integrity and internal control reviews in accordance with the guidelines established in OMB Management Procedures Memorandum No. 2016-03 – Additional Guidance for DATA Act Implementation: Implementing Data-Centric Approach for Reporting Federal Spending Information; OMB M-17-04 – Additional Guidance for DATA Act Implementation: Further Requirements for Reporting and Assuring Data Reliability; and OMB M-18-16 – Appendix A to OMB Circular No. A-123, Management of Reporting and Data Integrity Risk. Based on these reviews, which are certified by the agency’s Senior Accountable Official (agency Chief Financial Officer) and by the unqualified audit opinion rendered by the agency’s financial statement auditor, the agency has a reasonable assurance as to the accuracy and reliability of these data. APPENDIX C Windfall Elimination Provision Match #1020
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.
