A data sharing pilot between the US Bureau of Labor Statistics and the European Central Bank based on the SDMX standards Christos Androvitsaneas (ECB), Daniel Gillman (BLS) Meeting of the OECD Expert Group on Statistical Data and Metadata Exchange Geneva, 10 -11 May 2007
Motivation • In an increasingly globalised world, access to even detailed statistics in other regions becomes important • For example, the ECB is interested in various detailed BLS datasets • However… – there may be detailed statistics that are of remote interest for «hubs» and other data intermediaries; – So, direct data sharing! …but statistics must be still easily shareable between institutions without burdening the source institution with extra costs. U. S. Bureau of Labor Statistics
U. S. Bureau of Labor Statistics side • SDMX pilot; familiarity already with the SDMX standards • Data availability (SDMX-ML format); e. g. : – Consumer Price Index – Producer Price Index – Unemployment Rate – Employment – Average Hourly Earnings U. S. Bureau of Labor Statistics
European Central Bank side • ECB interest in U. S. data, e. g. – Civilian labor force participation rate – Nonfarm employment – Civilian labor force – Civilian unemployment – CPI-All urban consumers, all items less food & energy – Producer Price Index commodity data, finished goods • Intensive use already of the SDMX standards in the ECB and the European System of Central Banks (“pushing” and “pulling”) U. S. Bureau of Labor Statistics
BLS – ECB SDMX pilot URL ECB Statistical data warehouse U. S. Bureau of Labor Statistics
Conclusions • Additional benefits (beyond the ones usually stated for serving multiple “hub” reporting requirements) for statistical producers from the use of the SDMX standards on their web sites: – Considerably increase popularity/usability of (even detailed!) data (in which “hub” organisations may not be very interested), for example, by academics, journalists and institutional users domestically and from other countries and regions • Additional benefits for journalists, academic, institutional users of statistics: – Easy/automated access to detailed statistics that are not available through “hub” organizations and not easily accessible (retrievable) through traditional web pages; – Timely/immediate access, less dependency on the dissemination administered by “hub” organisations. U. S. Bureau of Labor Statistics
Скачать презентацию A data sharing pilot between the US Bureau
b3b9d5fa0fe03bc43dc6bdd28d2c9996.ppt