Transparency in Statistical Information for the National Center for Science and Engineering Statistics and All Federal Statistical Agencies

2021 ◽  
Author(s):  
◽  
◽  
◽  
Keyword(s):  
Statistical Information ◽  
Science And Engineering ◽  
Engineering Statistics ◽  
Federal Statistical ◽  
Statistical Agencies

scholarly journals “Collect, acquire, analyze, report, and disseminate statistical data related to the science and engineering enterprise…”: The National Center for Science and Engineering Statistics

2021 ◽  
Vol 4 (1) ◽  
pp. 6
Author(s):  
Matthew Fritz
Keyword(s):  
Statistical Data ◽  
The United States ◽  
Science And Engineering ◽  
Persons With Disabilities ◽  
Raising Awareness ◽  
Engineering Statistics ◽  
The Status ◽  
Statistical Agencies ◽  
Engineering Enterprise ◽  
The U.S

The National Center for Science and Engineering Statistics (NCSES) is one of the thirteen principal statistical agencies of the United States and is tasked with providing objective data on the status of the science and engineering enterprise in the U.S. and other countries. NCSES sponsors or co-sponsors data collection on 15 surveys and produces two key publications: Science and Engineering Indicators, and Women, Minorities, and Persons with Disabilities in Science and Engineering. Though policy-neutral, the data and reports produced by NCSES are used by policymakers when making policy decisions regarding STEM education and research funding in the U.S. Given NCSES’s importance to the science and engineering community, raising awareness of NCSES and increasing participation by individuals in STEM fields is an important priority.

On the system of classification and coding territories in the Russian Federation

2020 ◽  
Vol 959 (5) ◽  
pp. 41-53
Author(s):  
G.G. Pobedinskiy ◽  
M.V. Vyushkov ◽  
Y.R. Belykh
Keyword(s):  
Infectious Disease ◽  
Russian Federation ◽  
Statistical Information ◽  
Spatial Description ◽  
Suspected Infection ◽  
Spatial Reference ◽  
Federal Statistical ◽  
Multifactor Analysis ◽  
The Russian Federation ◽  
Epidemiological Situation

The most common method of statistical analysis in epidemiology is the retrospective analysis of infectious disease cases. Recorded in the system of Federal statistical observation they are not bound on specific localities, but to the areas of territorial bodies’ of Russian Federation Health Care Ministry and Rospotrebnadzor responsibility. In order to load the information into databases and use them in GIS, the spatial reference of statistical information to specific coordinates of suspected infection sites or to a specific administrative or specially designated territory having a spatial description is necessary. The aim of the work is to analyze the system of classification and coding administrative and specially allocated territories of the Russian Federation at various levels for the implementation of multifactor analysis of the epidemiological situation with the involvement of climatic, landscape, land management and other data, as well as to solve other problems of the territories spatial development.

scholarly journals Confidence in U. S. Federal Statistical Agencies

2015 ◽  
Vol 8 (5) ◽  
pp. 1-9 ◽  
Author(s):  
Jennifer Hunter Childs ◽  
Ryan King ◽  
Aleia Clark Fobia
Keyword(s):  
Federal Statistical ◽  
Statistical Agencies

scholarly journals How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics

2011 ◽  
Vol 3 (2) ◽  
Author(s):  
Gerald W. Gates
Keyword(s):  
Administrative Data ◽  
Program Planning ◽  
Published Data ◽  
Administrative Records ◽  
Decision Points ◽  
Federal Statistical ◽  
History Of ◽  
Support Policy ◽  
Statistical Agencies ◽  
Privacy And Confidentiality

U.S. federal statistical agencies continually face challenges in obtaining and using administrative records and in providing useful analytic products to support policy analysis and program planning. At each of three decision points—obtaining the administrative data, integrating the data into statistical programs, and releasing useful data products—concerns over privacy and confidentiality determine to a great extent how effectively these data are used. Although there is a long history of relevant research on privacy attitudes and methodologies to protect conconfidentiality in published data, agency decisions to share or publish data are not necessarily informed by known risks. Additional research is proposed to help identify and manage these risks. The paper also proposes government actions to ensure that U.S. federal statistical agencies are meeting the nation's data needs through the appropriate application of survey and administrative data.

scholarly journals Federal Statistical Confidentiality and Business Data: Twentieth Century Challenges and Continuing Issues

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Margo J. Anderson ◽  
William Seltzer
Keyword(s):  
Executive Branch ◽  
Business Community ◽  
Modern Concept ◽  
Late Nineteenth Century ◽  
Statistical System ◽  
The Us ◽  
Federal Statistical ◽  
History Of ◽  
Statistical Agencies ◽  
Business Data

The roots of the modern concept of statistical confidentiality in the US federal statistical system can be traced directly back to the late nineteenth century efforts of statisticians to ensure full and accurate responses by businesses to statistical inquiries. Officials argued that such confidentiality guarantees were needed to ensure that the providers of enterprise and establishment data could be confident that the statistical agencies could not be forced to share their responses with others, such as regulatory or tax authorities, congressional investigators, prying journalists, and competitors, who might use this information to the detriment of the data provider. Nevertheless, over the years, the principle of statistical confidentiality with respect to information provided by businesses in statistical inquiries has been repeatedly challenged by other executive branch departments, independent regulatory agencies, the courts, Congress, and members of the public, with quite varied results. The paper uses the published record and archival research to examine the history of challenges to statistical confidentiality, and the responses of the statistical agencies, the federal statistical system as a whole, including the office of the chief statistician in OMB (and its predecessors), executive department and independent non-statistical agencies, the courts, and Congress as well as representatives of the business community. Long-term trends and the implications for maintaining and strengthening the confidentiality protections for establishment- and enterprise-level business data provided to federal agencies for statistical purposes are discussed.

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