Sentence examples for interdisciplinary data from inspiring English sources
According to the scientists, interdisciplinary data fusion and collaboration are becoming an integral part of their research practices.
AralBase system developed to work with the Aral Sea interdisciplinary data is a variety of the OceanBase.
This flexibility increases usability and paves the way for running computational studies on large interdisciplinary data sets as intended in section 1.
LOD offers unique and new possibilities for interdisciplinary data analysis, modeling and projection for multidimensional, complex landscapes and may facilitate new insights and answers to complex environmental questions.
In this current research, this focused group of subjects offers the flexibility to examine cross-boundary data opportunities through a disciplinary lens and to study interdisciplinary data scholarship with a practical area focus and common problem space.
These challenges present barriers to efforts that hope to use existing cyberinfrastructure in support of interdisciplinary data query and access, especially when the interdisciplinary applications must go beyond search and access to actual manipulation and use of the data.
The examples and case study in the review show many opportunities for interdisciplinary collaborations, data fusion techniques, and other advances.
It is critical that interdisciplinary information (chemistry, biochemistry, genetic, genomics, clinical) be integrated into the same data warehouse.
Above all, interdisciplinary and international data flow and assimilation, possibly enriched by crowd-sensing data ingestion, have great prospects for grand discoveries, but obviously face many technical challenges and social barriers that have yet been sufficiently addressed.
In this sense, other needs were not only those related to clinical audit, business reporting and corporate requirements for information, but also greater recognition of the interdisciplinary use of data across the clinical team.
The result is a new, interdisciplinary field called "data science"—a fusion of statistics, computer science, and analytics in which researchers analyze large quantities of data, identify meaningful trends, and then find a way to exploit the resulting knowledge.
