Our current solution is to give them the same explainidentifier the growth in the and metadata Datasets can change. Our current solution is to
give them a NEW identifier, explain the change in the metadata, and provide a link back to the original dataset. Read all about it! http://doi.org/abr
OECDs stuffdata machine (2010) Jim Grays era (2008) Publications Processed data Data Presentations
Data Data publishing workflow at OECD Data producer (author) Statistician and Researcher Responsibility
Data Editor Data Production Editor Data Operations Data
Marketing & Support Selection, Quality Assurance, Metadata, tion a c
i f i t r Ce Acronym killing, Packaging
DOI allocation, Technical checks. Hosting, Infrastructure Promotion, Training,
Support, Discovery optimisation tion a r t s i
g Re dship r a w e t S
ness e r a w A Publisher Responsibility End User and Librarian Feedback
I can end it here, or is there time for more? [email protected] http://statlinks.oecdcode.org/ Great visualisations tell stories
Charles Minard's 1869 chart showing the losses in men, their movements, and the temperature of Napoleon's 1812 Russian campaign. TOYS FOR BOYS? OECD Toys OECD Factbook iPhone App http://itunes.apple.com/us/app/oecd-factbook -2010/id327348502?mt=8&uo=6 OECD Regional Statistics eXplorer
http://stats.oecd.org/OECDregionalstatistics/ OECD Factblog https://community.oecd.org/community/ factblog/blog/2010/05/11/tax-who-pays-what OECD graph generator http://viz.oecdcode.org/ts/20755104-table1/la test Pimp my data Facebook privacy (not any more):
http://mattmckeon.com/facebook-privacy/ Why I cant get a cab outside the UN building in NY? http://www.nytimes.com/interactive/2010/ 04/02/nyregion/taxi-map.html Why my musician brother grows his own food http://www.informationisbeautiful.net/ 2010/how-much-do-music-artists-earnonline/ How they spend your money www.wheredoesmymoneygo.org
PIMP KITS and SITES FOR SHARING DATA http://statlinks.oecdcode.org/ Thank-you and er [email protected]
* * Syllabus Lecture 01 Describing Inverse Problems Lecture 02 Probability and Measurement Error, Part 1 Lecture 03 Probability and Measurement Error, Part 2 Lecture 04 The L2 Norm and Simple Least Squares Lecture 05 A Priori Information and Weighted...
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No neat, concise algorithms ... Achieves ~90% precision, ~3 synonyms per entity for products. Taking care of details important for high accuracy. Click log sparsity, context similarity, long entity names. ... New Frontiers in Business Intelligence
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