Sentence examples for multidisciplinary data analysis from inspiring English sources

The development of advanced data systems to enable scientists to perform multidisciplinary data analysis will be another common target.

This approach will be important for the data-oriented study of space weather and solar climate connections in which multidisciplinary data analysis is inevitable because the majority of data are not well documented and tend to be suitably structured for machine-based combination.

Transcripts, codes, emerging findings, and their interpretations were presented and discussed by research colleagues at each stage of the analysis in regular team meetings and in multidisciplinary data analysis workshops and steering group meetings.

A multidisciplinary subgroup for data analysis and the project steering group regularly discussed the emerging analysis, enhancing the trustworthiness of the findings.

The next challenge in this study will be implementing the multidisciplinary approach during the data analysis.

Also, the multidisciplinary nature of the data analysis team contributes to an understanding of the data from a different perspective and thus adds reflexivity to the analysis [ 42].

This study aims to use a multidisciplinary approach, combining remotely sensed data analysis and field survey, to investigate the extent and palaeoenvironmental significance of sand ramps in the Drakensberg/Rooiberge foothills of South Africa.

This multidisciplinary research consists of applying different data analysis methods to correlate the information acquired with H LF-NMR on different materials to standard chromatographic and spectroscopic methods.

This type of software package is likely to become increasingly common in the near future, as a result of the increasingly large amount of data being rapidly generated and the overwhelming need for computational tools for analysis of complex multidisciplinary data in a time efficient manner.

These diverse data, in conjunction with the multidisciplinary team and an iterative approach to data analysis allowed us to engage in a dialogue with the data and produce authentic and trustworthy findings.

10 12 Data analysis was undertaken by a multidisciplinary group representing gastroenterology, clinical trials, psychology, health services research and statistics.