These data-sets encourage researchers to develop novel data integration methodologies.
Importantly, we consider meta-analysis as a sub-type of data integration methodologies.
However, there is still no unified definition of data integration, nor taxonomy for data-integration methodologies despite some recent efforts on this topic [ 1- 5].
We describe the design and structure of this data model, integration methodology of UEB and GeoSFM and illustrate the effectiveness of the resulting coupled models for the computation of surface water input and streamflow for a glaciated watershed in Nepal Himalayas.
In contrast to other methods for production data integration, the proposed methodology attempts to quantify the information in production data pertaining to reservoir heterogeneity in a probabilistic manner.
Multiple data integration is another commonly used methodology that collects evidences of gene disease associations from different data sources.
Bayesian network methodologies for data integration have been explored [12] [14] in a number of systems for predicting protein-protein interactions and protein function similarity.
In order to link data from existing environmental health monitoring programmes, we need methodologies on data integration.
Both caBIG and CancerGrid have developed tools that assist in the development of standardised methodologies for data integration and sample tracking in the context of cancer clinical trials.
For this reason, a data integration procedure is included in the methodology to support the use of the natural coordinate transformation in real cases.
