A wealth of data is emerging on the potential toxicity of engineered nanomaterials, and the value of using informatics methods to unravel the complexity of that information is reviewed.
However, while an elegant user interface and well-written documentation can enhance a tool's usability, utility, and adoptability, the cognitive and epistemological complexity of interdisciplinary informatics requires additional investment in building relationships between researchers and intended user communities.
Informatic methodologies are being applied successfully to analyze the complexity of the genome.
At an estimated rate of generating 300 megabytes of map data per day [ 1], both the volume and the complexity of the image data present a difficult informatics challenge.
This enormous increase in complexity of image-based data necessitates the application of informatics methods for the analysis, mining and reconstruction of these spatial graph data structures.
A key theoretical contribution is a framework for investigating the computational complexity of deriving spatial artefacts within the context of building informatics.
DOIs, for example, are now familiar in many publications and although the DataCite [ 49] initiative has significantly reduced both the cost and complexity of using DOIs, their direct application by the biodiversity informatics community remains rare.
New fields of research under the banner of "data mining," also known as informatics, have emerged to tackle not just the volume, but also the sheer complexity of modern data, such as the rise of bioinformatics in the field of medicine.
The New Careers in Biology: Building Biodiversity Informatics for the Millennium panel says that interdisciplinary science is critical in understanding the complexity of living organisms and ecosystems.
The terminology of informatics refers to the capacity to digitally capture, manage, extract value from, and rapidly shares the complexity of scientific discoveries.
