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Transcript
Science Data Platforms: Informatics
Architectures at the Forefront.
AGU 2012, IN11F-01
December 3, 2012
Peter Fox; [email protected], @taswegian –
Tetherless World Constellation/RPI.
Thanks to the SESF and DCO-DS teams: John Erickson, Marshall Ma, Patrick West,
Eric Rozell, Stephan Zednik, Han Wang, Yu Chen, Linyun Fu,
Deborah McGuinness and Jim Hendler …
And yet, it’s 0800 …
http://4.bp.blogspot.com/-7mYclB2oypk/TWrlhBPvHxI/AAAAAAAAALc/mwjhBbuZ9kU/s1600/yawn4.jpg
http://images.firstcovers.com/covers/flash/w/wake_up-19483.jpg
What’s the 6th generation?
Data as Infostructure
We have to ask …
http://gadgetynews.com/wp-content/uploads/2011/04/square-iphone.jpg
• Ecosystem
Experience
Data
Creation
Gathering
Information
Presentation
Organization
Knowledge
Integration
Conversation
Structuring different forms of content
Context
7
Linked Data - September 2011
8
“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”
Schematic for Deep Carbon Observatory Data Flows
Data Management and Data Science Guidance DCO-wide and Compatible with National and International Best Practices
Many means
of generation
Experiments
Physics/
Chemistry
Models
Sensor
streams
Standards based,
Provenance captured
Global Census, Virtual
Mineral Laboratory, ...
….
Sequencing
Efficient generation,
identifiers issued
DCO data infrastructure; identifiers, Catalogs
Others
EOS
Q uery,
access and
use of existing data
Existing Community Data
infrastructure; identifiers, Catalogs
Data
Repositories
GIDI
Sample
collection
EarthChem
MINDAT
Emission/
Compositions
M etadata,
schema,
data
... ... ...
Schematic for Deep Carbon Virtual Observatory and Interoperability
Integrated
Applications
Discovery
visualizations
Semantic
interoperability
Analytics
and mining
Global Census, Virtual
Mineral Laboratory, ...
Application-level mediation: vocabulary,
mapping to science and data terms
Software,
Tools & Apps
Deep Energy/
Life
Applications
Semantic
interoperability
Physics/
Chemistry
Models
Semantic query,
hypothsis and
inference
….
Res/Flux
Applications
Q uery,
access and
use of data
Semantic mediation: physics, chemistry, mineral, emission data - ChemML,
Data
Repositories
GVP
MINDAT
EOS
EarthChem
M etadata,
schema,
data
... ... ...
Emission/
Compositions
Elements…
http://sendsonline.org/wp-content/uploads/2011/05/Ecosystem_no_header-ver-4-Apr-2011.png
Science ecosystems
• These elements are what enable scientists to
explore/ confirm/ deny their research and
collaborate!
• Abduction versus induction and deduction
Citability
Integrateability
Explanation Justification
Verifiability
Identity
Proof
Accountability
‘Transparency’ -> Translucency
Trust
‘Provenance’
How far to go - Humatics
Penultimacy
 Platforms assembled from frameworks; they must look
more and more like a commodity (your phone) to how
you work
 6th generation of mediation – not more computermediation but smarter computers and lots of people
 Data as infostructure; mixing knowledge, information and
data for consumption
 From virtual observatories to linked virtual observatories
 From the Deep Carbon Virtual Observatory to the Deep Earth
Computer in say 8-10 years.
 From this and related sessions, it seems ‘we’ are going in
the right direction
Tetherless World Constellation
14
Really an informatics
methodology
Further Information
• http://tw.rpi.edu/web/project/SeSF
• http://tw.rpi.edu/web/project/DCO-DS
• Contact:
– [email protected], @taswegian
Tetherless World Constellation
16
Prior to 2005, we built
systems
• Rough definitions
– Systems have very well-define entry and
exit points. A user tends to know when
they are using one. Options for
extensions are limited and usually
require engineering
– Frameworks have many entry and use
points. A user often does not know when
they are using one. Extension points are
part of the design
– Platforms are built on frameworks 17
Tetherless World Constellation