Table 1.
Data bridge | Description |
---|---|
Image data bridge | A data bridge that facilitates the comparison of cellular phenotypes specific to individual genes with morphological imaging data from diseased tissue specimens, from both human and mouse tissues. |
Phenotype data bridge | Datasets from mouse or human are collected that relate to the disease states of diabetes and / or obesity. After the annotation of these datasets, a service allows the automatic identification of phenotype matches across mouse and human. |
Personalised medicine bridge | The data bridge enables access to and integration of, often heterogeneous and dispersed, patient data to enable better treatment decisions for individual patients by using a data analysis informatics pipeline. |
Structural data bridge | A data bridge connecting databases with structural data and protein interaction data. Researchers receive access to a range of available structural techniques, such as crystallography, Nuclear Magnetic Resonance (NMR), MS or EM, and will be presented with a comprehensive structural model. |
Biosamples data bridge | Researchers receive information about available sample data through the BioSamples database with the aim to set up clinical/translational research collaborations. |
The five usage scenarios representing different kinds of data bridges used to create requirement clusters and to evaluate the developed legal interfaces