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Scientific Data Analysis
Clinical Data Management Software
Data Analysis Software Qualitative Data Analysis System
Statistical Analysis Software

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Scientific Data Analysis Software

Leading Solutions to the Collection & Analysis of Scientific Data

Whether you have real-time instrument feeds or clinical observations.  Your data needs the best analytical, statistical, and management tools available.  We have gathered some of the leading makers of scientific data analysis software and data management software available.  We have experience with several of these packages from our research days - each of these qualitative and quantitative statistical data management systems have particular advantages.

But first let us take a look at a some of the Access database we have developed for analysis of scientific data.  You might want to consider our services for custom database design if the more generic products don't suite your needs.

Companies in the USA must report the handling of a long list of chemical each year to the US government.  The major streams of chemical handling are releases, transfers and recycling/recovery.  A data analysis screen is show below for our TRI Data Analysis database.  The database was originally written in the 1st version of Microsoft Access in 1994.

The interface allows the user to drill down to four levels of data and these can be selected in any combination - chemical, year, state, etc.  Additionally, the data may be filtered to include Releases, Transfers, or Recycling & Recovery data.

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scientific data analysis software

The data analysis screen below provides the user with the capability to select and filter from literally thousands of data fields within a ocean sediment core sample data set.  The form also provides for multi-parameter comparison of chemical constituents.  All queries are created dynamically in VBA code.

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This single query screen above gives the user the ability do cross subject analysis for correlation studies and to analyze data for the following subjects.

Listed below are the more generic data analysis software systems available today.  Over the years, we have had experience with most of these products.

Data Analysis Software by:  SAS Scientific Discovery Solutions: In order to gain a competitive edge, organizations are turning to SAS Scientific Discovery Solutions to help them navigate the mountains of data generated by the discovery process to find the true value in their data. SAS Scientific Discovery Solutions provide intelligence to discovery research organizations so that they may identify and then deliver valuable targets and promising drug leads quickly and consistently.


Scientific Data Management Software by:  Statsoft's STATISTICA solutions are also used for validated applications. StatSoft's software development methodology and the wide range of testing performed on STATISTICA products are well-documented. Moreover, StatSoft provides a full suite of validation services to complement its products. StatSoft products have been audited and evaluated for Part 11 compliance. The entire suite of STATISTICA products are integrated with a robust, scalable Document Management System that is Part 11-compliant.


Scientific Data Analysis Software by:  OriginLab produces professional graphing and data analysis software for scientists and engineers. Our products are designed to be easy-to-use, yet have the power and versatility to provide for the most demanding user. With their integrated C programming capabilities, Origin and OriginPro provide a robust platform for building custom graphing and analysis tools.


Data Analysis Software by: StataCorp has been a leader in developing cutting-edge statistics, graphics, and data-management solutions for research professionals.  Stata is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics. Stata 9 adds many new features such as linear mixed models, balanced repeated replications, and multinomial probit; find out more about these features at what's new in Stata Release 9.

Scientific Statistical Data Analysis



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Note: Product descriptions are the manufacturer's description of their products.

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