'data informatics' is a correct and usable phrase in written English.
It refers to the use of digital technologies to process and analyze large amounts of data. For example: "Data informatics has become an essential tool for businesses looking to effectively organize and utilize their customer data."
It has been suggested that the biggest gap in big crisis data informatics currently is in the extraction of structured information from the huge amount of unstructured information.
The overall pipeline for glycan profiling shown in Figure 1 spans glycan sample preparation through LC MS data acquisition and subsequent data informatics.
In summary, the i2b2 multi-source data informatics framework was critical as a query analysis tool for patient identification in our case control study examining risk factors for kidney stones among G-tube fed children.
The i2b2 (informatics for integrating biology and the bedside) clinical data informatics framework was originally developed within the Partners Healthcare System, a large, integrated healthcare system based in Boston [ 1].
A major aim of the i2b2 (informatics for integrating biology and the bedside) clinical data informatics framework aims to create an efficient structure within which patients can be identified for clinical and translational research projects.
CARLSBAD is a database focused on high-quality subsets aggregated from several bioactivity databases, which are integrated in a uniform interface and manner, suitable for chemical biology and drug discovery studies, as well as large scale, 'big data' informatics and knowledge mining.
Particularly, we emphasize the important roles of using large human genomic data-informatics in facilitating genetic analyses of mouse models and resolving existing controversies in mouse and human BM stem cell biology.
Data from informatics and computational approaches will inform hypothesis-driven studies to incisively address safety issues.
In any case, it will not be a competition between cheminformatics and crystallography, but will involve the integration of structural data into informatics techniques.
The ballooning importance of health, science, data and informatics in the 21st century is evidence of the critical importance cheminformatics will play in the coming years.
A novel approach for design of experiments (DOE) is outlined that combines high throughput multiscale modeling, sensitivity analysis, and information extraction from massive computational data using informatics tools.
