Data-Intensive Science
Download
Report
Transcript Data-Intensive Science
[email protected]
The Data Explosion
Roles for Public Clouds
Driving Research and
Innovation
Emergence of a Fourth Research Paradigm
• Description of natural phenomena
• Newton’s Laws, Maxwell’s Equations…
• Simulation of complex phenomena
2
.
4G
c2
a
a
3
a2
• Captured by instruments
• Generated by simulations
• Generated by sensor networks
eScience is the set of tools and technologies
to support data federation and collaboration
• For analysis and data mining
• For data visualization and exploration
• For scholarly communication and dissemination
Changing Nature of Discovery
•
•
•
•
• Multidisciplinary interactions
• Wide temporal and spatial scales
• Real-time streams
• Structured and unstructured
• Virtual organizations
• Socialization and management
• Client-centric and infrastructure-centric
http://fourthparadigm.org
Every research field is now a data
science field
Data-intensive Research
Acquisition &
modelling
Archiving and
preserving
Data
Dissemination
& sharing
http://fourthparadigm.org
Collaboration
and
visualisation
Analysis &
data mining
www.southamptondata.org
9
Simple Tools To Answer Complex Questions…
Data - FetchClimate
www.chronozoomproject.org
Cloud Scale Analytics
University of Adelaide
www.venus-c.eu
Software
Architecture
Development.
EMIC–MICGRMRL
Cloud
Infrastructure
Dissemination,
Cooperation,
Training.
User Scenarios
To adapt legacy bioinformatics tools to
Stochastic simulations of biological
VENUS-C for speeding-up this task in
T5.1
T5.2
T5.3
T5.4 simulations
T5.5
T5.6
T5.7
processes,
including
multiple
Research, providing a seamlessly
for
statistical
analysis
and
parameter
scan
Building
Bioinformatics
Structural
Data
for
Civil
To
provide
Green
Prefab
user community
Prediction
of System
fire risk and Drug
fire
interface
to
alignment
(BLAST,
BWA).
Information
Analysis for
Science
Protection
Biology
Discovery
for solution space
with aexploration.
friendly procedure
to createsimulation,
an
propagation
Management
Civil
AquaMaps
and
Torendered
predict future
of species
architectural
imagedistribution
using
in wildfire early
Realistic 3D
static and
dynamic assisting
analysis
Engineering
Emergencies
byto
extrapolating
known
species
Using
Central
the the
SketchUp
components.
warning,
control
and
civil
of
largeeScience
scale
structures
formodel
a wide
occurrences
and its relation
properties (toxicity,
solubility,
protection,
dealingwith
with
community
of professionals
(architects,
environmental
conditions.
biologicaland
activity)
of molecules
for
different
structural
civil engineers,
…)
from unpredictable or
potential use
drugs.
predictable workload situations
companies
andasresearch.
that are being faced within a
civil protection system
Call to action – white paper feedback
http://communitymodel.sharepoint.com/
[email protected]
[email protected]
Vision for a New Era of Research Reporting
Reproducible
Research
Collaboration
Reputation
& Influence
Dynamic
Documents
Interactive
Data
(Thanks to Bill Gates SC05)