Information Technology Reference
In-Depth Information
Traditional Data Lifecycle Model
Project/
Experiment
Planning
Data
Integration and
processing
Publishing
research
results
Archiving
or
Discarding
Discussion/
feedback
Data collection
(a)
Data Curation
(including retirement and clean up)
Data
discovery
Researcher
Data
recycling
Data
Re-purpose
Data archiving
DB
Raw Data
Experimental
Data
Structured
Scientific
Data
Data linkage
to paper
Data
archiving
Project/
Experiment
Planning
Data Collection
and
filtering
Data sharing/
Data
publishing
Data analysis
End of project
Data Re-purpose
Open
Public
Use
( b)
FIGURE 2.3
(a) Scientiic data life cycle management in traditional science. (b) Scientiic data life cycle management in e-science.
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