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What is Organic Data Science?
We are investigating Organic Data Science, a new approach aimed to allow 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.
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.
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
- Modeling connectivity in the hydroscape.
- The lake organic carbon models.
- Documentation for the PIHM model.
- Lake modeling support.
- Framework Design
Today's Highlights
We are starting to describe contributors to the project, help us fill in the blanks:
We are starting to describe models, help us fill in the blanks:
Acknowledgements
This work is supported by the National Science Foundation through the INSPIRE program with grant number IIS-1344272.
