Sentence examples for data production methods from inspiring English sources

Philosophers who adopt this usage are free to think about standard examples of observation as members of a large, diverse, and growing family of data production methods.

In this study, a new data integration model is suggested for the operating processes in architectural documentation and cultural heritage studies, with the terrestrial laser scanning that uses new data production methods of photogrammetry.

Despite increasing sophistication of data production and analysis methods, the importance of 'eyeballing' data to generate hypotheses or simply check the results of new analyses cannot be understated.

In February 2013, the FP7 STATegra project (http://stategra.eu/) and the COST Action SeqAhead (http://seqahead.eu/), two EU-funded initiatives on the bioinformatics of high-throughput data, organized in the city of Barcelona the "Workshop of Omics and Data Integration", with the aim of reviewing current technologies on omics data production and the available methods for their integrative analysis.

Record cell efficiencies of 12%, promising stability data and means of energy efficient production methods have been accomplished.

Only nanoparticle production methods, with sufficient data on the synthesis route published and using chemicals or precursors available in the Ecoinvent 2.2 database or that can be modeled with the base chemicals available in said database, were used.

According to the results obtained, FCM is a practical and suitable method for synthetic data production.

The methods applied for sequence data production of sea bass are described in full detail in [ 50, 51].

Our approach focuses on the critical questions of data production and coverage, which differ dramatically between methods and experimental scales.

Evaluating the quality of scientific information used in regulatory decision making requires that judgments be made about data production processes, data reporting, analysis, and interpretation methods and data applicability relative to the goals of the decision-making activity in question.

Although these methods are powerful in terms of data production, they involve time-consuming, costly, and tedious data analysis.