DM-03: Automate data ingestion from a set of sensors or instruments

Executive Summary: 
A researcher needs to set up automatic and continuous data ingestion into a data collection from a set of sensors or instruments.
User Importance Summary: 
Research often uses observational data from sensor networks and large-scale instruments such as telescopes, colliders, and laboratory equipment. Automatic ingestion of this data reduces time-to-science.
Target Communities and Sizes: 
Researchers - 10,000 < N < 100,000 Educators who use community resources - 1,000 < N < 10,000
Documents:
Full description (public)
Full description (for review)
Full description (drafting version)
Status: 
Approved
Use Case End User: 
researchers
educators
Area: 
Scientific Data
Sub-Area: 
Data Management
First Proposed Date: 
2013-01-17
Last Approved Date: 
2019-07-31

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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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