Slide 1

Creating a Data Environment

Data environment:

•well-organized collection of data of specific type and quality •captured and stored at regular intervals from one or more sources •systematically shared in support of one or more applications

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Data Environment

Application

Data Capture

Information

Raw Data


	What is a data environment and how is that any different from what we have done in the past?

	[Figure]: Data is pulled into the environment - the orange globe. Data users can extract information from it to build or support applications. The data environment can have multi-source data, which may be observed, simulated or interpolated data, and all the elements needed to develop an application.

	In some cases, the observed data might be flagged as being erroneous. In other cases, high quality observed data might be interpolated to help with the assessment of applications if there isn’t sufficient market penetration of certain technologies.