LEADER 02912nam 2200481 450 001 9910793586903321 005 20191028102805.0 010 $a0-309-48632-7 010 $a0-309-48630-0 035 $a(CKB)4100000007759195 035 $a(MiAaPQ)EBC5723094 035 $a(EXLCZ)994100000007759195 100 $a20190322d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMethods to foster transparency and reproducibility of federal statistics $eproceedings of a workshop /$fMichael L. Cohen, rapporteur 210 1$aWashington, DC :$cThe National Academies Press,$d[2019] 210 4$dİ2019 215 $a1 online resource (125 pages) 311 $a0-309-48629-7 327 $aIntroduction -- 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. 330 $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"--Publisher's description. 606 $aTransparency in government$zUnited States 606 $aReproducible research$zUnited States 607 $aUnited States$xStatistics$vCongresses 607 $aUnited States 607 $aUnited States$2fast 615 0$aTransparency in government 615 0$aReproducible research 676 $a352.380973 702 $aCohen$b Michael L. 712 02$aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bCommittee on National Statistics, 712 02$aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bDivision of Behavioral and Social Sciences and Education. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910793586903321 996 $aMethods to foster transparency and reproducibility of federal statistics$93841930 997 $aUNINA