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= What is Organic Data Science? =  
 
= What is Organic Data Science? =  
  
[[Organic_Data_Science| Organic Data Science]] allows scientists to formulate and resolve science processes through an open framework that facilitates ad-hoc participation and entice collaborators based on attractive science goals.<i>[[Organic_Data_Science| Read more]].</i>
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[[Organic_Data_Science| Organic Data Science]] allows scientists to formulate and resolve science processes through an open framework that facilitates ad-hoc participation and entice collaborators based on attractive science goals.<i>[[Organic_Data_Science| Read more about Organic Data Science]].</i>
  
  
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We are using a semantic wiki framework with significant extensions to structure collaboration processes.   
 
We are using a semantic wiki framework with significant extensions to structure collaboration processes.   
<i>[[Structuring_Content_in_a_Semantic_Wiki | Read more about how this framework works and how to participate and contribute]].</i>
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<b><i>[[Structuring_Content_in_a_Semantic_Wiki | Read more about how this framework works and how to participate and contribute]].</i></b>

Revision as of 07:24, 25 January 2014

What is Organic Data Science?

Organic Data Science allows scientists to formulate and resolve science processes through an open framework that facilitates ad-hoc participation and entice collaborators based on attractive science goals. Read more about Organic Data Science.


Our Science Goal: The Age of Water

We focus on long-standing problems of coupled water and carbon budgets through development of a new scientific paradigm, The Age of Water and Carbon, that melds theory and practice from limnology and hydrology within the new collaborative paradigm of Organic Data Science. We are integrating analytical frameworks from two communities – hydrology and isotope modeling in | Critical Zone Observatories (CZOs) and hydrodynamic water quality modeling from the | Global Lake Ecological Observatory Network (GLEON) – to quantify water and material fluxes from two research sites, the Shales Hills CZO and the GLEON member site, |North Temperate Lakes LTER. This foundation will serve as a nexus for participation by multiple communities and will seed the growth of additional science through shared ideas, knowledge, and data.

Starting Points

Today's Highlights

We are starting to describe contributors to the project, help us fill in the blanks:

 ExpertiseAffiliation
Chris DuffyHydrologyPennsylvania State University
Craig SnortheimHydrodynamic modeling
David da Motta MarquesHydrology
Hydrodynamic modeling
Universidade Federal do Rio Grande do Sul
Jordan ReadHydrodynamic modeling
Physical limnology
Center for Integrated Data Analytics
U.S. Geological Survey
Matt HipseyEcosystem modeling
Hydrodynamic modeling
University of Western Australia
Michael PaceUniversity of Virginia
Patricia SorannoLandscape limnologyMichigan State University
Paul HansonCarbon cyclingCenter For Limnology
University of Wisconsin - Madison
Steve JepsenUniversity of California Merced
Tom HarmonUniversity of California Merced
Xuan YuPennsylvania State University
Yolanda GilAI planning and collaborative problem solving
Workflows
Semantic Web
Semantic wikis
Social computing
Information Sciences Institute
University of Southern California

We are starting to describe models, help us fill in the blanks:

 AuthorSoftware licenseLanguage
Delft3dDeltares systems
GLM SoftwareCasper Boon
Louise Bruce
Matt Hipsey
C
IPH-ECODavid da Motta Marques
PIHM SoftwareGopal Bhatt
Lorne Leonard
Xuan Yu
Chris Duffy
Mukesh Kumar
GPL v2C
C++

Contributing to Organic Data Science

We are using a semantic wiki framework with significant extensions to structure collaboration processes. Read more about how this framework works and how to participate and contribute.

Yandex.Metrica