• Data Quality Tools and Mechanisms

    The Global Fund uses three main mechanisms/tools to assess the quality of data and reporting systems at the country-level, namely the: (1) On-site Data Verifications (OSDVs), (2) Data Quality Audits (DQAs) and (3) M&E System Strengthening (MESS) tools.

    An e-learning course providing background on the importance of data quality, its overall management at the Global Fund and an overview of the tools is available on the page ‘Learning about M&E and Data Quality at the Global Fund’. That course includes some basic training on the implementation of OSDVs.

    Note: This course needs to be downloaded and run on a computer using Windows. Users at the Global Fund must download the files to the Temp directory on their OSDisk.

    On-site data verification (OSDV)

    OSDV is a component of the LFA’s verification of implementation (VOI) and is required to be conducted at least once a year for each grant. A standard form is used for this exercise. The objective is to ensure the data quality of important programmatic results and to provide an overall statement on the quality of data within the grant portfolio.

    • LFA Guidelines for On-Site Data Verification and Rapid Service Quality Assessment implementation (July 2014)
      download [ PDF - 194 KBEnglish ]
    • OSDV Planning and Reporting Template (July 2014)
      download [ DOCX - 116 KBEnglish ]
    • OSDV Planning and Reporting Template User Guide (July 2014)
      download [ PDF - 194 KBEnglish ]
    • OSDV Excel-based template for computation of error and data quality rating (April 2014)
      download [ XLSX - 60 KBEnglish ]

    Data quality audits (DQAs)

    The objective of DQA is to provide an in-depth assessment of data quality and M&E systems in selected grants and/or programs. To maintain independence, DQAs are conducted by external auditors contracted by the Global Fund. A standard DQA Tool, developed by the Global Fund & Partners is used to assess data accuracy, the reporting performance and the underlying M&E System of the grant.

    A risk management approach is used in selecting the grants on which DQAs are performed.

    The Routine Data Quality Assessment (RDQA) Tool

    The Routine Data Quality Assessment (RDQA) Tool is a simplified version of the DQA and allows Programs and projects to rapidly assess the quality of their data and strengthen their data management and reporting systems.

    The objectives of the RDQA Tool are to:

    • VERIFY rapidly 1) the quality of reported data for key indicators at selected sites; and 2) the ability of data-management systems to collect, manage and report quality data.

    • DEVELOP an action plan to implement corrective measures for strengthening the data management and reporting system and improving data quality.

    • MONITOR over time capacity improvements and performance of the data management and reporting system to produce quality data (notably through repeat use of the RDQA).

    1. Routine Data Quality Audit Tool
      download [ XLS - 2 MBEnglish ]

    2. RDQA tool Guideline
      download [ PDF - 678 KBEnglishFrançais ]

    Table 1: Comparing the Data Quality Tools

    Objectives Capacity-Building of PR and strengthening of country M&E Systems (i.e. costed action plan and allocated funds for M&E strengthening)Data-verification & Capacity-Building of PR (i.e. verification of reported results and recommended strengthening measures) “Auditing” of PR reported Results (i.e. external auditing of reported results)Self-assessment of data by PR
    Frequency and timingOnce for Grant Signing (repeated, as appropriate)Once a year for all GrantsAnytime during the lifecycle of the Grant(10-20 Grants per year)Anytime during the life-cycle of the grant/regularly
    ImplementerPrincipal Recipient (PR) Local Fund Agent (LFA) External Service Provider (with expertise in public health)Country staff
    Main Focus
    • Data Management Capacities
    • M&E Plan
    • Data reporting
    • Verification of accuracy of the reports
    • Verification of accuracy of data
    • Report performances
    • Assessment of the System
    • Data accuracy;
    • Reporting performances;
    • Assessment of the M&E System