Community Research and Development Information Service - CORDIS

General application tool for experimental data

Science relies heavily on the continuous conduction of experiments. Powerful software application tools that are commonly used for experimental data processing are usually quite expensive and complex enough to be used only by specialists. Driven by these drawbacks, a new, easy to use software package has been developed for extensive experimental data processing that is highly applicable in many fields and provides its users with many capabilities.
General application tool for experimental data
In many scientific fields such as metrology, instrumentation manufacturing, ecology, medicine, physics, biology, chemistry, economics, sociology and others, researchers conduct experimental investigations for adequate data acquisition upon which their models, theorems or decisions are based. The processing of experimental data constitutes a highly sophisticated task that usually requires from its processors the understanding and use of applied statistics and computational mathematics methods. Most software application packages that are currently used are expensive, unfriendly, and, unless their user is a statistician, difficult to use.

Within the scope of data processing, a new software tool has been designed for a simple, fast and powerful data analysis and representation. The tool is easily installed in personal computers and its control is entirely automated. Being an excellent tool for data editing, charting and analysis, it may be used throughout the data elaboration chain in every application field imaginable.

Apart from providing its users with the maximum statistical efficiency of data analysis and representation, it operates as an expert for problem solving featuring exploration of all possible problem solutions. More specifically, the package consists of different programmes, that are accessible in a standardised way, each offering its users with an output of a statistically accurate representation of the range and likelihood of all possible outcomes. Among these programmes the options of statistical numerical computation and dynamic modelling, identification of functional dependencies and probability distribution densities, decision-making and time series processing are also included.

Since its users are not required to have any mathematical, statistical or programming background the package requires the minimal learning time associated with reduced training. Offering accurate, precise, fast and robust statistical analysis and problem solving, it is a highly reliable tool to rival the best statistics packages available.
Follow us on: RSS Facebook Twitter YouTube Managed by the EU Publications Office Top