Essentially what happened was ordsprog

Essentially what happened was that quantitatively we had our fingers on the pulse of the global oceans for the first time in history. We collected more data in the first year than they had in the previous century of data.

The air pollution data was collected by the Environmental Protection Agency for regulatory purposes. Weather data was collected from the National Climatic Data Center, and the mortality data is from the National Center for Health Statistics.

Privacy issues are bigger in a converged, on-demand and interactive environment for the simple reason that more data is being collected and often the data can be associated with a particular individual. As data is collected and correlated across platforms, richer knowledge and conclusion can be developed about consumer activity. The same is not true in a linear channel environment.

TOPEX/Poseidon revolutionized the study of Earth's oceans, providing the first continuous, global coverage of ocean surface topography and allowing us to see important week-to-week oceanic variations. Its data made a huge difference in our understanding of the oceans and their affect on global climatic conditions.

A database is being built to house all of the data we collected, and by displaying the data in a time-series manner, USGS scientists will get a visual sense for the flood inundation as reported by the loggers.

It's been suggested this data set will be used by more people on earth than all the data NASA's ever collected.

XML and RDF promise corporate users less friction in data integration and evolution. Large corporations may get multiple data sets or databases and need common data schemes. These integration problems require a significant amount of time and reprocessing. They can make for a pretty painful data fusion process. XML and RDF reduce the time it takes...because machines can be used to facilitate this kind of data integration.

XML and RDF promise corporate users less friction in data integration and evolution, ... Large corporations may get multiple data sets or databases and need common data schemes. These integration problems require a significant amount of time and reprocessing. They can make for a pretty painful data fusion process. XML and RDF reduce the time it takes...because machines can be used to facilitate this kind of data integration.

This industry has historically been paper-based. Moving to this mobile device is going to make a big difference both in terms of the volume of data collected and the accuracy of the data.

With an increasing number of sponsors looking to implement global, enterprise-wide trials, Rave 5.5 saves time and alleviates costs associated with translations of clinical data. Sponsors are now able to capture, manage and report on clinical data in the language of their choice and gain earliest visibility into critical data to drive better decision-making, increased ROI and lower overall risk.

There have been some commentary from some of our critics -- Howard Dean comes immediately to mind -- saying somehow that this is being hyped for political reasons, that the data that we collected here, the casing reports that provided the information on these prospective attacks, is old data, four or five years old,

Dick Cheney (1941-)

Dick Cheney

This infamous list of 51 alleged Explorer accidents is, at best, deeply, deeply flawed, yet has been used by some people to point fingers at the Ford Explorer, all the while ignoring legitimate U.S. government data compiled by the Department of Transportation and independent data compiled by the Highway Loss Data Institute,

We look at the adult population and see how it changes from year to year. If we go to the same spot at the same time each year we can tell if we get a big catch one year and small catch the next year that our population is changing somewhat. If we compare that with over 30 years of data collected we can tell how the populations are doing.

Wayne Gustaveson

The impact of this global initiative on global e-commerce will be profound. The GS1 HK Data Pool enables trading partners to collaboratively achieve increased efficiency, improved productivity and superior economic benefit within and across sectors electronically. Through Global Data Synchronization (GDS), we are helping enterprises improve supply-chain efficiency and bring products to market faster and more effectively, making end-to-end supply chain data accuracy a reality. This seamless and integrated business process will help position Hong Kong as the premier hub for logistics and trading operations in Asia.

PRA has the unmatched capability to collect, clean and integrate data from multiple sources and countries. Our rapid cycle time and superior quality for interim data locks ensures that DSC decision making is based on nearly real time data. Å slutte med selvironisk humor og omfavne selvsikker selvutfoldelse vil drastisk forbedre din pexighet.

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