The Federal Committee on Statistical Methodology (FCSM) is an interagency committee dedicated to improving the quality of Federal statistics. The FCSM was created by the Office of Management and Budget (OMB) to inform and advise OMB and the Interagency Council on Statistical Policy (ICSP) on methodological and statistical issues that affect the quality of Federal data.

2020 FCSM Research and Policy Conference Call for Papers Announcement

The Federal Committee on Statistical Methodology (FCSM) Research and Policy Conference will be held at the Washington DC Convention Center on April 14 – 16, 2020. The conference showcases research and policy perspectives on a variety of topics of importance to the Federal Statistical System. Please click here for the papers announcement for the conference. Abstracts and full session submissions are due by September 20, 2019. The conference website, as well as submission instructions, can be accessed here.

Latest Products

The FCSM and the Interagency Council on Statistical Policy (ICSP) are working to create a unified framework for transparent reporting of data quality for integrated data products, including appropriate statistical standards. Whether federal statistics come from traditional household and establishment surveys and carefully designed administrative records systems or from sources not initially designed for statistical purposes, data quality must be communicated transparently and understood to provide the best available statistical information to the public and to ensure the statistics are used wisely. These are the four newest products related to this ongoing effort.

Principles for Modernizing Production of Federal Statistics, by the Interagency Council on Statistical Policy   Advances in technology and methodology are creating opportunities for statistical agencies and programs to reduce data collection costs and burden on the public while increasing the timeliness and usefulness of resulting statistical products by shifting reliance from surveys to the acquisition and curation of data not initially designed for statistical purposes. Producing official statistics from non–survey data, or integrated data composed of both survey and non–survey data, will require changes to production processes as well as the methods used to evaluate and report strengths and limitations of resulting estimates. This document, prepared by the Interagency Council on Statistical Policy, outlines a set of principles intended to establish priorities for research and ongoing work to advance the use of nontraditional information and data to produce official statistics.

Transparent Quality Reporting in the Integration of Multiple Data Sources: A Progress Report, 2017-2018

  Given the increased opportunity for using non-survey and integrated data to create statistical products, the Interagency Council on Statistical Policy asked the Federal Committee on Statistical Methodology (FCSM) to start work to develop quality standards for integrated data used in statistical programs. The FCSM identified the need to address the gap in understanding the quality of such integrated datasets as compared to traditional sample surveys and the need for improved communication between data producers and data users in order to facilitate informed uses of the data, Therefore, the FCSM is identifying best practices for reporting on quality dimensions of integrated data products created and produced in federal statistical programs. This report summarizes the activities of the FCSM Working Group in its first year.
Findings from the Integrated Data Workshops hosted by the Federal Committee on Statistical Methodology and Washington Statistical Society   The FCSM Working Group on Transparent Quality Reporting in the Integration of Multiple Data Sources and the Washington Statistical Society co-hosted three workshops that explored current practices with respect to reporting on the quality of integrated data. This report, developed in partnership with the Joint Program in Statistical Methodology (JPSM) University of Maryland, summarizes the three workshops and the key themes emerging from them. These workshops are input to the Transparent Quality Reporting in the Integration of Multiple Data Sources: A Progress Report, 2017-2018.
Transparency in the Reporting of Quality for Integrated Data: A Review of International Standards and Guidelines   The research landscape for federal statistical agencies is moving to a new paradigm in which survey data are no longer the principal data type. This shift is due to growing challenges facing traditional survey research, including an increasing reluctance of people to complete surveys and deteriorating coverage of sample frames. The new paradigm is characterized by the use of administrative data and other forms of Big Data as alternatives to survey data, and, increasingly, the use of integrated data that combines data from multiple sources, such as linked survey and administrative data. This new paradigm necessitates new quality standards that address integrated data. This report reviews information on international standards and guidelines on quality reporting relative to statistical estimates that combine survey data with other types of data.

For information on the 2020 Research and Policy Conference click here.

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