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Furthermore, there remains an unmet demand for an efficient survey of the wealth of information on human homologs in model organisms across numerous databases.
There are numerous databases of material properties and analytical methods for selecting materials but these are mainly aimed at technical design.
"Once an individual has been assigned a unique index number, it is possible to accurately retrieve data across numerous databases and build a picture of that individual's life that was not authorised in the original consent for data collection," says Sir David Omand in a report for the Institute for Public Policy research.
Researchers at MIT's Laboratory for Energy and the Environment's Analysis Group for Regional Electricity Alternatives (AGREA) used information from numerous databases, including that of the U.S. Environmental Protection Agency, to look at how emissions reductions from solar photovoltaic systems vary across the contiguous 48 states.
The result is a lot of data, but those data are scattered in numerous databases that are organised and maintained in diverse ways by various research teams.An additional complication is that the decodings usually take the form of expressed-sequence tags (ESTs), which are merely short pieces of genetic information, rather than full transcripts of genes.
However, the heterogeneous nature of these data and their widespread distribution over journal articles, patents and numerous databases makes searching and pattern discovery a tedious and manual task.
Numerous databases (MEDLINE, PubMed, Embase, Google Scholar) were searched, 17 studies consisting of 1,008 patients with distal fibular fractures treated with intramedullary fixation were found.
The online collections provide access to current and historical issues of journals, selected online books, and numerous databases, including financial, consumer markets, and macroeconomic data.
Health attributes connected to usernames (which, in turn, can often be linked to real identities) could have spread into numerous databases.
For example, existing versions of software packages designed to manage and code qualitative data proved incapable of handling such a large dataset, and the data had to be spread across numerous databases.
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Attribute-level schema matching is a critical step in numerous database applications, such as DataSpaces, Ontology Merging and Schema Integration.
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