Assessing the quality of administrative data
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Assessing the Quality of Administrative Data. 2012 FCSM Statistical Policy Seminar Session 7: New Perspectives on the Quality of Administrative Data December 5, 2012 Bill Iwig, USDA/NASS (on detail to OMB/SSP). Development of the Data Quality Assessment Tool.

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Assessing the Quality of Administrative Data

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Assessing the Quality of Administrative Data

2012 FCSM Statistical Policy Seminar

Session 7: New Perspectives on the Quality of

Administrative Data

December 5, 2012

Bill Iwig, USDA/NASS

(on detail to OMB/SSP)


Development of the Data Quality Assessment Tool

  • Data Quality ~ Fitness for Use

  • Intended to facilitate decisions by a potential data user about the suitability of the data for identified purpose.

  • Intended to prompt additional questions.

  • Based on the information gathered, the data user may decide to:

    • Use the data as planned

    • Alter plans

    • Accommodate some quality weakness in the data

    • Not use the data


Development of the Data Quality Assessment Tool

  • Multi-Dimensional

    • Relevance

    • Accessibility

    • Interpretability

    • Coherence

    • Accuracy

    • Institutional Environment

  • Questions within each dimension are designed to address quality characteristics of micro-level administrative data.

  • Example answers provided based on characteristics of a Supplemental Nutrition Assistance Program (SNAP) data set.


Development of the Data Quality Assessment Tool


Putting the Phases and Dimensions Together

  • Discovery Phase: 12 questions covering Relevance, Accessibility, and Interpretability, including a request for a Data Dictionary

  • Initial Acquisition Phase: 29 questions covering Accessibility, Interpretability, Coherence, Accuracy, and Institutional Environment

  • Repeated Acquisition: 11 questions covering Interpretability (updated Data Dictionary), Coherence, Accuracy, and Institutional Environment


What it is and What it isn’t

  • Evaluates quality characteristics of an administrative data file.

  • Doesn’t address quality characteristics of linked data.

  • Doesn’t provide guidance for making fitness for use decisions.

  • Doesn’t provide quality improvement recommendations.

  • Not specifically designed to address quality of commercial data.


Status of Pilot Testing

  • Obtained feedback from three federal/state reviewers prior to pilot testing.

  • Pilot tested on:

    • Child Care data files from the Office of Child Care Information Systems at DHHS – Initial Acquisition Phase

    • Wisconsin Child Care Payment System files – All Phases

  • Expecting a response for two additional files.

  • Planning to conduct follow-up interview after completion of assessment tool.


General Comments

  • Completing the Data Quality Assessment Tool is perceived to be burdensome to the administrative agency.

  • Some agencies may be concerned about data quality implications.

  • Many administrative data files are compiled from various data sources.

  • Right scope and content to be incorporated into agency administrative record procedures?


Next Steps

  • Update based on feedback received.

  • Make available to the public.

  • Pursue opportunities to promote use.


Thank You

Bill Iwig

Detailee to the Statistical and Science Policy Office, OMB

[email protected]

202-395-2293


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