Sentence examples for the establishment of data from inspiring English sources

Exact(6)

Even the establishment of data rooms where bidders' representatives can study documents about the project has been held up, in part by an argument over whether there should be one in London for foreign investors' convenience, and over who should pay the cost.

Another important aspect that motivates and influences wireless multi-hop networks is the establishment of data flows between nodes.

This investment saw the establishment of data linkage units representing each of the remaining states and territories as well as two national data linkage units.

The establishment of data repositories such as Dryad is an important step in this direction, and the creation of standardized formats for data on plasticity and phenotypic evolution would be highly useful.

This proliferation of data linkage is reflected in the establishment of data linkage research centres and initiatives in Australia [ 8, 9], North America [ 10, 11] and the United Kingdom [ 12, 13].

The results presented here demonstrate how collaboration between data warehouse architects and clinical researchers created a process for the establishment of data marts that facilitated access to electronic health record data for research at our institution.

Similar(54)

Establish better data-management systems, programs, and practices, including the establishment of data-quality standards and best practices.

Recent years have seen the establishment of data-collection initiatives like the National Science Foundation's EarthScope and the U.S. Geological Survey's Advanced National Seismic System.

Funders have also been active in financing and supporting the establishment of data-generating projects, especially for the creation of sequence data using GWAS methods.

We now highlight the importance of big data and the establishment of a data driven healthcare ecosystem.

Mechanisms to transfer and hold data from across cohorts and other partners will include the identification of agreed data sets, specifications for the data warehouse, data validation, cleaning and harmonization procedures, and the establishment of robust data security mechanisms.

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