LEADER 04195nam  22006855  450 
001 9910254893803321
005 20200704012305.0
010   $a1-137-60063-2
024 7 $a10.1057/978-1-137-60063-9
035   $a(CKB)3710000000731569
035   $a(DE-He213)978-1-137-60063-9
035   $a(MiAaPQ)EBC4720356
035   $a(EXLCZ)993710000000731569
100   $a20160616d2016      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Quality in Southeast Asia$b[electronic resource] $eAnalysis of Official Statistics and Their Institutional Framework as a Basis for Capacity Building and Policy Making in the ASEAN  /$fby Manuel Stagars
205   $a1st ed. 2016.
210  1$aLondon :$cPalgrave Macmillan UK :$cImprint: Palgrave Macmillan,$d2016.
215   $a1 online resource (XXIV, 196 p. 36 illus.) 
225 1 $aPalgrave Pivot
300   $aIncludes index.
311   $a1-137-60062-4 
327   $aChapter 1 Introduction -- Chapter 2 Tools to Standardize and Monitor Statistical Capacity and Data Quality -- Chapter 3 Method and Data Sources to Analyze Data Quality in the ASEAN -- Chapter 4 Data Quality Analysis of Group A: Indonesia, Malaysia, Singapore and the Philippines -- Chapter 5 data Quality Analysis of Group B: Thailand, Vietnam, Brunei -- Chapter 6 Data Quality Analysis of Group C: Laos, Cambodia, Myanmar -- Chapter 7 Conclusion and Outlook: Towards Open Data and ASEAN Economic Community.
330   $aThis book explores the reliability of official statistical data in the ASEAN (the Association of Southeast Asian Nations), and the benefits of a better vocabulary to discuss the quality of publicly available data to address the needs of all users. It introduces a rigorous method to disaggregate and rate data quality into principal factors containing a total of ten dimensions, which serves as the basis for a discussion on the opportunities and challenges for data quality, capacity building programs and data policy in Southeast Asia. Tools to standardize and monitor statistical capacity and data quality are presented, as well as methods and data sources to analyse data quality. The book analyses data quality in Indonesia, Malaysia, Singapore, the Philippines, Thailand, Vietnam, Brunei, Laos, Cambodia, and Myanmar, before concluding with thoughts on Open Data and the ASEAN Economic Community (AEC). .
410  0$aPalgrave pivot.
606   $aAsia?Economic conditions
606   $aEconomic growth
606   $aDevelopment economics
606   $aInternational economics
606   $aEconomic policy
606   $aStatistics 
606   $aAsian Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W45010
606   $aEconomic Growth$3https://scigraph.springernature.com/ontologies/product-market-codes/W44000
606   $aDevelopment Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W42000
606   $aInternational Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W33000
606   $aEconomic Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/W34010
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
607   $aSoutheast Asia$xStatistical services
615  0$aAsia?Economic conditions.
615  0$aEconomic growth.
615  0$aDevelopment economics.
615  0$aInternational economics.
615  0$aEconomic policy.
615  0$aStatistics .
615 14$aAsian Economics.
615 24$aEconomic Growth.
615 24$aDevelopment Economics.
615 24$aInternational Economics.
615 24$aEconomic Policy.
615 24$aStatistics for Business, Management, Economics, Finance, Insurance.
676   $a330.0095
700   $aStagars$b Manuel$4aut$4http://id.loc.gov/vocabulary/relators/aut$0875492
906   $aBOOK
912   $a9910254893803321
996   $aData Quality in Southeast Asia$91954778
997   $aUNINA