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New Data Analysis and Visualization Software at the NIH Library

The NIH Library is pleased to announce the availability of several software packages for analysis, processing, and visualization of both quantitative and qualitative data. The following programs are now available on the Data Sciences workstation in the NIH Library’s Tech Hub:

MATLAB: a high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.

Stata: a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics. With both a point-and-click interface and a powerful, intuitive command syntax, Stata is fast, accurate, and easy to use.

Statistica: provides a comprehensive array of data analysis, data management, data visualization, and data mining procedures. It includes a wide selection of predictive modeling, clustering, classification, and exploratory techniques in one software platform.

VantagePoint: a powerful text-mining tool for discovering knowledge in search results from patent and literature databases. VantagePoint helps you rapidly understand and navigate through large search results, giving you a better perspective—a better vantage point—on your information.

The Data Sciences Workstation offers a suite of tools for data analysis, management, processing, and visualization, and can be reserved for up to 4 hours per day. To reserve, visit http://nihlibrary.libcal.com/booking/techhub_workspaces. Additional information about software available on the workstation can be found at https://www.nihlibrary.nih.gov/services/data/data-services-tools.

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