Science Data Platforms: Informatics Architectures at the Forefront.

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Presentation transcript:

Science Data Platforms: Informatics Architectures at the Forefront. AGU 2012, IN11F-01 December 3, 2012 Peter Fox; pfox@cs.rpi.edu, @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

Informatics Architectures? Forefront? Ecosystems and evolution Why frameworks and not systems? Platforms? The distributed part of it.. Um, people Some models http://images.firstcovers.com/covers/flash/w/wake_up-19483.jpg

What’s the 6th generation?

Data as Infostructure

We have to ask … http://www.pharmaceutical-int.com/upload/image_files/suppliers/images/companies/2487/laboratory-equipment-1b.jpg http://gadgetynews.com/wp-content/uploads/2011/04/square-iphone.jpg

Structuring different forms of content Ecosystem Experience Data Information Knowledge Creation Gathering Presentation Organization Integration Conversation Structuring different forms of content Context 7

Linked Data - September 2011 http://richard.cyganiak.de/2007/10/lod/lod-datasets_2011-09-19_colored.png “Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”

“Information architecture is the categorization of information into a coherent structure, preferably one that the most people can understand quickly, if not inherently…” (wikipedia)

Elements… SENDS model 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 Integrateability Citability Identity ‘Provenance’ Explanation Justification Verifiability Proof Trust Accountability ‘Transparency’ -> Translucency

How far to go - Humatics

Tetherless World Constellation 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 computer-mediation 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

Really an informatics methodology We’ve had a lot of success with Informatics…

Tetherless World Constellation Further Information http://tw.rpi.edu/web/project/SeSF http://tw.rpi.edu/web/project/DCO-DS Contact: pfox@cs.rpi.edu, @taswegian Tetherless World Constellation

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 Tetherless World Constellation