DM-07: Automatically extract metadata from data objects

Executive Summary: 
A researcher needs to automatically extract metadata for one or more data objects.
User Importance Summary: 
Researchers and scientists in most fields use metadata to describe their data in order to preserve and communicate their understanding of the data's history, meaning, and key features. Metadata can be vital when searching for data, when reusing data, and when reproducing scientific results.
Target Communities and Sizes: 
Researchers - 10,000 < N < 100,000
Documents:
Full description (public)
Full description (for review)
Full description (drafting version)
Capability delivery plan
Status: 
Approved
Priority: 
LOW (2018-04)
Use Case Author: 
Lee Liming
Use Case End User: 
researchers
Area: 
Scientific Data
Sub-Area: 
Data Management
First Proposed Date: 
2018-02-27
Last Approved Date: 
2018-04-09

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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