Sentence examples for production of data and from inspiring English sources

The OECD Nuclear Energy Agency NEA Data Banknk participates in the production of data and their distribution to users including the collection and validation as well as the distribution of the Joint Evaluated Fission and Fusion (JEFF) library.

Moreover, when using qualitative methods, we carry out endless cross-checks between interviews themselves, and between interviews and observations, repeated cross-referencing between our own data and the other available data, constant comparisons between different investigation sites, and repeated toing and froing between the production of data and their analysis.

The WinGX package was used for refinement and production of data tables, and ORTEP-3 used for structure visualisation.

Several guidelines are provided by international and national bodies to govern the production of data, applications, services, and Web sites in order to guarantee accessibility.

"Decision reached to restrict production of data to Moorestown and Cranbury stations," Sergeant Gilbert wrote.

In England the implementation of the Liverpool integrated care pathway for the last two days of life has facilitated the production of data for research and audit purposes [ 8].

These are: §  Programme Component 1: Strategic planning, monitoring and evaluation which focuses on upstream work and will support the production of disaggregated data and critical analysis and knowledge affecting children and women.

Hence there is further need to prioritize spending and this study hopes to fill this void by production of data that can help managers and doctors to identify and address unsatisfactory factors in the care they provide.

As LHS is characterized by routine production, transformation, and dissemination of data and knowledge, secure channels and reliable authentication are necessary to ensure confidence and buy-in by the data owners.

PCR has many advantages over traditional diagnostic methods, including higher throughput, shorter turnaround time, adaptability to new strains and production of data for molecular epidemiological surveillance.

Finally, the use of theoretical perspectives (DCP model) for analysis means and the production of data analysis reports for the researchers made it possible to ensure confirmability (neutrality).