Sentence examples for multiple data standards from inspiring English sources

(ii) Crucial to the multiple layer bottom-up COs approach are heterogeneous data sources that can accommodate multiple data standards, conflicting requirements from diverse user groups and a definite need to develop methodologies that are able to integrate diverse systems and ultimately synthesize data of many types and formats.

LDPC codes are used in many standards, and they support multiple data rates for each standard.

A comprehensive, prospective system for health RCS evaluation was suggested, in which long-term impact across different levels is considered throughout the whole project cycle (Srivastava et al. 2009; Minja and Nsanzabana 2010; Podems 2010) using clear conceptual frameworks, multiple data sources and valid standards to enhance quality.

While the present research makes an important contribution by establishing uniform data standards across multiple interRAI instruments, the work to link these instruments to terminology systems in medical records has not been completed.

However, it is very challenging to design decoder hardware that supports various standards and multiple data rates.

Local developers needed to be able to create multiple data entry forms in a standard manner.

The circuit robustness is verified through its application to the most updated M-PHY serial interface standard requirements supporting multiple data rates of 1.5/3/6 Gbps.

We have developed a flexible, probabilistic framework to predict TF binding from multiple data sources that differs from the standard hypothesis testing (scanning) methods in several ways.

For the cell proliferation, western blot, and PCR statistics, we computed the mean and standard deviation of multiple data points.

The use of Web 3.0 standards enables data federation across multiple data sources, for instance using SPARQL's SERVICE queries.

Other mechanisms should be created which increase the personal benefits for individual researchers using standards; for example, the increased likelihood of publication for studies in which data standards were implemented or where data sharing between multiple research groups occurred.