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

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

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 tool1

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 tool2

Development of the Data Quality Assessment Tool


Putting the phases and dimensions together

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

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

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

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

Next Steps

  • Update based on feedback received.

  • Make available to the public.

  • Pursue opportunities to promote use.


Thank you

Thank You

Bill Iwig

Detailee to the Statistical and Science Policy Office, OMB

[email protected]

202-395-2293


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