Any scientist knows that as the number of his samples increases, the amount of generated data from each sample can be truly overwhelming. Below are a few basic examples taken from an average materials science lab, that when combined, generate big data sets:
- Diverse types of physical, chemical synthesis methods and processes
- Different synthesis and processes conditions, as part of the optimization stages
- An assortment of measurements and characterization techniques performed on each sample
- A group of scientists (or a consortium) exponentially increases the amount of data
- High-throughput characterization and analysis of combinatorial libraries*
Among the many advantages that MaterialsZone offers, one of the major ones is the capability to easily organize and sort out an enormous amount of data and visualizing it to the user in an interactive table.
A valuable organizing tool is the Labels feature, which allows the user to sort out his samples in the table according to predefined labels.
By using the Labels feature, the user can create and define labels that can be easily attached (and easily removed if necessary) to a sample or samples of his choice, with a possibility of adding multiple labels with multiple colors.
By clicking the Labels tab, a list of all of the labels will appear, and by clicking on a label, labeled samples will immediately appear in the interactive table format.
The label feature can help to sort out between multitudes of samples, by the pre-defined labels that the user attached previously.
*This example by itself generates an enormous amount of big data per one single library of materials
A quick demonstration on how to label, appear in the attached link:
The figure below portrays labeled samples that were selected after clicking on the label: “Band-gap analysis.”
Dr. Ronen Gottesman
Institute for Solar Fuels
Helmholtz-Zentrum Berlin für Materialien und Energie Hahn-Meitner-Platz 1, 14109 Berlin, Germany