PPT-Data Description in DDI-CDI

Data Documentation Initiative Cross Domain Integration 7132020 Data Description with DDICDI 1 Think About During the Presentation Are there data structures that you commonly use that we dont seem to have covered. . Data Interpretation, Further Analysis and Dissemination Workshop. Data Archiving. Look familiar?. Today’s storage medium. is no longer file cabinets . and storage rooms.... What is archiving and . PRT System . Support Grant . Targeted Improvement . Plan. Cole Johnson, NDE. GMS. The 15-16 PRT Grant opened on 5/19/15. . Due 8/1/15. TIP Phases . 5 Grant Priorities. Data Analysis. Focus for Improvement. Gravitational-Wave. Event Candidates. Peter Shawhan . (U. of Maryland / JSI). for the LIGO Scientific Collaboration and Virgo Collaboration. Hot-Wiring the Transient Universe IV. Santa Barbara — May 14, . Neubot Tests. Data Structure. Example. Hadoop . Ecosystem. MapReduce. Source: . http. ://. www.slideshare.net/hadoop/practical-problem-solving-with-apache-hadoop-pig. Pig Latin. High level data flow language for exploring very large datasets.. to NASA Capability Needs . Template Slides. Template Slides. Map Research to Technology Candidate. New Technology Candidate. Intermediate Milestones for Technology. New Capability Description. Data needed for Research. Best Practices for Descriptive Metadata for Web Archiving. Recommendations of the OCLC Research Library Partnership . Web Archiving Metadata Working Group . Alexis . Antracoli. , . Kate Bowers, Jackie Dooley. Best Practices for Descriptive Metadata for Web Archiving. Recommendations of the OCLC Research Library Partnership . Web Archiving Metadata Working Group . Alexis . Antracoli. , . Kate Bowers, Jackie Dooley. Designators. Compound Data Standards. Class Words. 1. Generic Data Standards. M. inimize repetition of:. Data Exchange Standards. and. Data Entry Guidelines. 2. Data Standard Name: Final Fire Acre Quantity. Félice. Myers, Director of Foundation Relations. Email: fmyers@lafoodbank.org. Phone: 323-234-3030, Ext. 189. 2. Workshop Purpose. To understand the key elements of a successful grant proposal and what makes each element so important.. Jian Pei. JD.com. & Simon Fraser University. Outlier Detection: Beauty and the Beast in Data Analytics. Subjectivity. Because of . …. Finding . Only Outliers Is . Not Useful. Every outlier detection algorithm bears some “model(s)” in mind.
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Page 3 of 6 Product Specifications Table 1. Video Specification Description Standard Composite Input Systems NTSC M Video Level 1 V p - p nominal Frequency Response ITP/SO Version 117 IFTMIN / VDA 49IFTMIN x0000 instructions of transport Transport-/Speditionsauftrag VDA 4972 x0000 Versandmeldung Daimler VDA007 DescriptionDispatch announcement / Lieferankndigung MIC COMMISSION FOR EUROPEBUSINESS REQUIREMENTS SPECIFICATIONBRSUN/CEFACTDomainAgricultureBusiness process Animal traceability data exchangeDocument identificationCEFACT/2017TitleAnimal traceability da