Integrated Data Quality Subcommittee
This subcommittee seeks to recommend best practices for assessing and communicating data quality from surveys, administrative records, sensors, and other sources that are used individually and together in statistical estimates. The subcommittee has reviewed methods used in the Federal Statistical System for documenting and publicizing data quality and has sponsored several activities on data quality, including workshops, a report on international data quality standards, and a case-study report on current practice and customer perspectives. A framework for identifying and reporting data quality was released in 2020. Further investigations of measuring data quality, particularly for integrated data, and the development of research priorities are planned.
Recent publications and presentations:
- A Framework for Data Quality: Case Studies (FCSM 23-02)
- Leveraging the Data Quality Framework Workshop Slides (September 10, 2021)
- Leveraging the Data Quality Framework Workshop Recording (September 10, 2021)
- A Framework for Data Quality
- A Framework for Data Quality (November 2020 presentation)
- Transparent Reporting for Integrated Data Quality: Practices of Seven Federal Statistical Agencies (2019)
- Transparent Quality Reporting in the Integration of Multiple Data Sources: A Progress Report (2018)
- Findings from the Integrated Data Workshops hosted by the Federal Committee on Statistical Methodology and Washington Statistical Society (2018)
- Transparency in the Reporting of Quality for Integrated Data: A Review of International Standards and Guidelines (2018)
- Data Quality Assessment Tool for Administrative Data (2013)
DISCLAIMER: Materials posted on this page are released to inform interested parties of research and to encourage discussion. Opinions expressed are those of the authors and do not necessarily reflect the official position of the FCSM or the participating agencies.