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Integrated Data Quality Subcommittee
 Groups Overview
    
      




Interest Groups
    
    Innovating Data Collection Interest Group
      
        




Confidentiality and Data Access Committee (CDAC)
      
        




Computational Statistics and the Production of Official Statistics (CSPOS) Interest Group
      
        




Geospatial Interest Group (GIG)
      
        




Sexual Orientation, Gender Identity, and Sex Characteristics (SOGISC) Interest Group
    
      




Subcommittees
    
    Federal Statistical System Research Subcommittee
      
        




Integrated Data Quality Subcommittee
      
        




Subcommittee on Updating Statistical Methods for Safeguarding Protected Data
      
        




Nonresponse Bias Working Group
      
        




Sexual Orientation, Gender Identity, and Sex Characteristics (SOGISC) 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) **Contacts:** Rolf Schmitt at Rolf.Schmitt@dot.gov
  Lisa Mirel at LMirel@cdc.gov
  Darius Singpurwalla at dsingpur@nsf.gov 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.


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