DA-02: Prepare data for analysis

Executive Summary: 
A researcher needs to prepare a set of data for large-scale analysis. The researcher must gather the required data from its source(s) and then translate, reformat, organize, or annotate the data as needed for data mining, modeling, or other analysis activities.
User Importance Summary: 
Data preparation is the first step in data analysis but even these preparations may require community resources to accomplish.
Target Communities and Sizes: 
Researchers who use community resources - 1,000 < N < 10,000
Documents:
Full description (public)
Full description (for review)
Full description (drafting version)
Capability delivery plan
Status: 
Approved
Use Case End User: 
researchers
Area: 
Scientific Data
Sub-Area: 
Data Analysis
First Proposed Date: 
2012-09-18
Last Approved Date: 
2019-08-01

National Science Foundation (NSF)

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ACCESS is an advanced computing and data resource supported by the National Science Foundation and made possible through these lead institutions and their partners:
Carnegie Mellon University, University of Colorado Boulder, University of Illinois at Urbana-Champaign, and State University of New York at Buffalo .


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