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Methods to foster transparency and reproducibility of federal statistics : proceedings of a workshop /

In 2014 the National Science Foundation (NSF) provided support to the National Academies of Sciences, Engineering, and Medicine for a series of Forums on Open Science in response to a government-wide directive to support increased public access to the results of research funded by the federal govern...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cohen, Michael L. (rapporteur.)
Autor Corporativo: Transparency and Reproducibility of Federal Statistics (Workshop)
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Washington, D.C. : The National Academies Press, [2019]
Colección:Online access: NCBI NCBI Bookshelf.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Methods to foster transparency and reproducibility of federal statistics :  |b proceedings of a workshop /  |c Michael L. Cohen, rapporteur ; Committee on National Statistics, Division of Behavioral and Social Sciences and Education, the National Academies of Sciences, Engineering, Medicine. 
264 1 |a Washington, D.C. :  |b The National Academies Press,  |c [2019] 
300 |a 1 online resource (1 PDF file (ix, 112 pages)) 
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504 |a Includes bibliographical references. 
520 3 |a In 2014 the National Science Foundation (NSF) provided support to the National Academies of Sciences, Engineering, and Medicine for a series of Forums on Open Science in response to a government-wide directive to support increased public access to the results of research funded by the federal government. However, the breadth of the work resulting from the series precluded a focus on any specific topic or discussion about how to improve public access. Thus, the main goal of the Workshop on Transparency and Reproducibility in Federal Statistics was to develop some understanding of what principles and practices are, or would be, supportive of making federal statistics more understandable and reviewable, both by agency staff and the public. This publication summarizes the presentations and discussions from the workshop. 
536 |a This activity was supported by contracts between the National Academy of Sciences and the National Science Foundation (#SES-1024012). This grant provides support for the work of the Committee on National Statistics from a consortium of federal agencies. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project. 
588 0 |a Online resource; title from PDF title page (viewed May 30, 2019). 
505 0 |a Introduction -- Existing guidelines related to transparency -- Benefits and costs of transparency: views from three statistical agencies -- Benefits and costs of transparency: views from the United Kingdom and Canada -- Two U.S. Examples: SAIPE and LEHD -- Operationalizing transparency -- Summarizing day 1 -- Standards for metadata and work processes -- Possible next steps. 
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650 0 |a Statistics  |x Standards  |z United States. 
650 0 |a Transparency in government  |z United States. 
650 0 |a Reproducible research  |z United States. 
651 0 |a United States  |v Statistics. 
650 0 |a Federal government. 
650 1 2 |a Data Interpretation, Statistical 
650 1 2 |a Reproducibility of Results 
650 2 2 |a Federal Government 
651 2 |a United States 
650 6 |a Gouvernement fédéral. 
650 6 |a Reproductibilité (Sciences)  |z États-Unis. 
650 6 |a Reproductibilité (Sciences) 
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655 7 |a Conference papers and proceedings  |2 fast 
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655 7 |a Conference papers and proceedings.  |2 lcgft 
655 7 |a Actes de congrès.  |2 rvmgf 
710 2 |a National Academies of Sciences, Engineering, and Medicine (U.S.).  |b Committee on National Statistics,  |e issuing body,  |e organizer. 
711 2 |a Transparency and Reproducibility of Federal Statistics (Workshop)  |d (2017 :  |c Washington, D.C.) 
758 |i has work:  |a Methods to foster transparency and reproducibility of federal statistics (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGmcfvXjxh7vT98rbxWtw3  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Cohen, Michael L.  |t Methods to foster transparency and reproducibility of federal statistics.  |d Washington, D.C. : National Academies Press, [2019]  |z 9780309486293  |w (OCoLC)1080999293 
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