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Data Management: Analyze

Help making Data Management Plan

Analyze data

The Analyze stage of the Science Data Lifecycle represents activities associated with the exploration and assessment of data, where hypotheses are tested, discoveries are made, and conclusions are drawn. (USGS Data Management documentation)


Analytical activities include summarization, graphing, statistical analysis, spatial analysis, and modeling, and are used to produce scientific results and information. In analysis, new data are generated, versions are tracked, and processes are documented. Data management during analysis improves the efficiency of data analysis activities, preserves documentation that is critical for scientific integrity, and creates a foundation for future research. The outputs of analysis are interpretations or new datasets, which often are published in written reports or machine-readable formats such as map layers or numerical modeling results. 

Types of Analysis

Statistical Analysis - to derive patterns, make generalizations, detect trends, and to estimate the uncertainty associated with the data

Visualization - graphical representations of events or scientific data; can be static images, animated images, or maps

Spatial Analysis - extracts or creates new information from spatial data, i.e., GIS

Image Analysis - detection of objects and patterns within images, i.e., Remote Sensing

Modeling - tool for abstracting and simplifying systems in order to describe and explore them and to make predictions about system behavior

Interpretation - use of data and analytic output to evaluate hypotheses and methods, to extrapolate (to predict), to detect patterns

Analysis Documentation - to make work reproducible sufficient documentation of analysis methods is required


Wesleyan Resources

Quantitative Analysis Center - through its programs it facilitates the integration of quantitative teaching and research activities.

WesScholar institutional repository for Wesleyan University, and was established with the goal of capturing, permanently preserving, and distributing materials of institutional and historical value to the University. It is a suite of services and platforms that enable Wesleyan students, faculty, and staff to store and share their research data and other scholarly and creative outputs in digital format.

Wesleyan Office of Corporate, Foundation & Government Grants - Data Management Plan page has links to NIH, NSF, NASA, NEH, and NEA sites for grant proposal help.

ITS Data Storage - Wesleyan offers a variety of data storage options. Here are found the options offered to the Wesleyan community.

Maps and GIS - links to GIS software and Wesleyan courses to help with developing spatial data analysis tools.