Sentence examples for multidisciplinary data and from inspiring English sources

Then, systematic analysis was conducted by integrating shale gas multidisciplinary data and geological and engineering integration study was carried out.

Furthermore, the review highlights some promising practices to improve the selection and specification of attributes, such as the option for a multi-attribute valuation approach and the resort to multidisciplinary data and modelling.

It maximizes integration of multidisciplinary data and knowledge and hence improves the reliability of reservoir predictions.

This tectonic shift of application of theory, experiments and simulations into mainstream business allows unifying knowledge from scientific research with vast amounts of multidisciplinary data and thereby creating real business wisdom which was previously unthinkable!

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.

An ontology and controlled vocabularies have been developed by OpenTox to integrate and organise multidisciplinary data (e.g. chemicals, experiments, and toxicity data).

Seamounts are amongst the most common physiographic structures of the deep-ocean landscape, but remoteness and geographic complexity have limited the systematic collection of integrated and multidisciplinary data in the past.

Multidisciplinary data should be integrated and interpreted by means of systems biology tools (van der Sijde et al. 2014).

With as many as 20 countries of the European Union participating, SHARE's rich and detailed multidisciplinary data source is a promising medium to explore the relationship between frailty and its diverse environment in Europe.

Spatial Analysts in need of multidisciplinary data to perform preliminary geographical analysis and reliable forecasts to better set up appropriate interventions in vulnerable areas.

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.