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= What is Organic Data Science? =  
 
= What is Organic Data Science? =  
  
We are investigating [[What_Is_Organic_Data_Science| 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.  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.
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We are investigating [[What_Is_Organic_Data_Science| 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.  [[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.
  
Accomplishing this requires three elements: a science approach to tackle the problem of the age of water, a technical substrate that facilitates transdisciplinary collaborations, and a social approach to engage the community:
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= Technical and Social Aspects of Organic Data Science =
  
#<i>Technical approach: Human Computing to Support Organic Team Science.</i>  We are pursuing a social computing approach that takes into account human aspects such as incentives and participation, while providing the fabric for representing and coordinating tasks involved in accomplishing science goals. Our approach will openly expose science tasks, facilitating inspection and engagement of new potential contributors. The collaboration will grow in an organic way, drawing in people and other contributions from existing data providers and cyberinfrastruture resources.   
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We are pursuing a social computing approach that takes into account human aspects such as incentives and participation, while providing the fabric for representing and coordinating tasks involved in accomplishing science goals. Our approach will openly expose science tasks, facilitating inspection and engagement of new potential contributors. The collaboration will grow in an organic way, drawing in people and other contributions from existing data providers and cyberinfrastruture resources.   
# <i>Science approach: Focus on the Lake-Catchment Isoscape.</i>  We intend to apply the notion of a catchment isoscape for stable isotopes of water to examine the implication of age and residence time on biogeochemical cycles of coupled catchment-lake systems. This will require integrating the analytical frameworks developed within two communities – hydrology and isotope modeling in [http://criticalzone.org Critical Zone Observatories (CZOs)] and hydrodynamic water quality modeling from the [http://www.gleon.org  Global Lake Ecological Observatory Network (GLEON)] – to quantify water and material fluxes with existing data and resources from two research sites, the [http://criticalzone.org/shale-hills/ Shale Hills CZO] and the GLEON member site, [http://www.lternet.edu/sites/ntl North Temperate Lakes LTER]. This foundation will serve as a nexus for participation by multiple communities in the proposed science and will seed the growth of additional science through shared ideas, knowledge, and data.
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# <i>Social approach: Engaging the Community.</i>  Tremendous potential resides in the collective resources of the highly distributed science community. We can realize that potential by creating an exciting and engaging environment in which individuals can contribute their unique resources, and gain in return, additional resources, including knowledge, credit, and an expanded network.  We are collaborating with investigators from diverse areas of research committed to supporting information sharing for advancing Earth and environmental sciences on a scale much larger than we could accomplish individually or even through any one discipline.
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<b><i>[[Structuring_Content_in_a_Semantic_Wiki | Read more about how to participate and contribute]].</i></b>
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=== Ongoing Technical Activities ===
  
This is a preliminary article about this work:
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We are working on several major activities:
  
* <b>[http://www.isi.edu/~gil/papers/gil-hanson-lisc12.pdf “Organic Data Sharing: A Novel Approach to Scientific Data Sharing.”]</b> Gil, Y.; Ratnakar, V.; and Hanson, P. In Second International Workshop on Linked Science: Tackling Big Data (LISC), held in conjunction with the International Semantic Web Conference (ISWC), Boston, MA, 2012. Available as a [http://www.isi.edu/~gil/papers/gil-hanson-lisc12.pdf preprint].
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# [[Framework Design | Design the technical aspects of our organic data science framework]]
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# [[Human_Centered_Computing_to_Support_Organic_Data_Science | Understand the human-centered computing aspects of organic data science]]
  
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= Contributing to this project =
  
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<b>[[Contributors | There is a growing set of contributors to the project]].</b>
  
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We are testing this framework with a collaborative research project focused on the theoretical and experimental aspects of the isotopic age of water.  [http://www.organicdatascience.org/ageofwater Visit that project site].
  
<b><i>[[What_Is_Organic_Data_Science| Read more about Organic Data Science]].</i></b>
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The contents of this wiki are accessible to everyone.  If you would like to contribute new content, please contact us to obtain an account by emailing us at <b>organic.data.science@gmail.com.</b>
  
= Our Science Goal: The Age of Water and Carbon =  
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=== Learning to Use the Organic Data Science Framework ===
  
We focus on long-standing problems of coupled water and carbon budgets through development of a new scientific paradigm, <i>The Age of Water and Carbon,</i> that melds  theory and practice from limnology and hydrology within the new collaborative paradigm of [[Organic_Data_Science | Organic Data Science]]. We are integrating analytical frameworks from two communities – hydrology and isotope modeling in [http://criticalzone.org Critical Zone Observatories (CZOs)] and hydrodynamic water quality modeling from the [http://www.gleon.org 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, [http://www.lternet.edu/sites/ntl 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. <b><i>[[Age_of_Water:_Example| Read more about Modeling the Age of Water and Carbon in Lake-Catchment Systems]].</i></b>  or <b><i>[[PIHM_Software| Read more about the PIHM catchment model]].</i></b>
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Get an account to learn in our [http://www.organicdatascience.org/training/ Training site].  You can also browse the [[How_to_use_this_semantic_wiki |documentation pages]].
 
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== Today's Highlights ==
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<b>Browse through some of the currently active tasks:</b>
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* [[Implement_Catchment_Model | Set up the Catchment Hydrodynamic Model at Field Sites]].
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* [[Implement_Lake_Model | Set up the Lake Hydrodynamic Model at Field Sites]].
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* [[Develop_Lake_Catchment_Model | Develop Coupled Lake - Catchment Hydrodynamic Model]].
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* [[Calibrate lake and catchment models]]
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* [[Develop "Age" model for coupled lake-catchment ]]
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* [[Lake_carbon_questions | Lake carbon questions]].
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* The [[Lake_Organic_Carbon_Models | lake organic carbon models]].
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* [[Document_PIHM_Model | Documentation for the PIHM model]].
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* [[Lake_Modeling_Support | Lake modeling support]].
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* [[Framework Design]]
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* [[Setting up lake model for North Temperate Lakes]]
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<b>There is a growing set of contributors to the project.  Here are some highlights about their expertise and affiliations.  You can help us fill in the empty cells by editing their individual pages, once you do that the information will be shown here:</b>
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{{ #ask: [[Is a::researcher]]
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| ?expertise
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| ?affiliation
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| format=template
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| template=Researcher
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| introtemplate=Researcher_Header
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| outrotemplate=Researcher_Footer
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| link=object
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| default=No researchers are described in this site
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}}
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<b>We are starting to describe models, help us fill in the blanks:</b>
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{{ #ask: [[Is a::model]]
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| ?author
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| ?software_license
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| ?language
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| default=No models are described in this site
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}}
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= Contributing to Organic Data Science =
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<b>We have [[Special Information for Newcomers]] to catch up with what we have been doing so far and our plans for the future. </b>
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We are using a semantic wiki framework with significant extensions to structure collaboration processes.  <b><i>[[Organic_Data_Science_through_a_Semantic_Wiki | Read more about how this framework works and how to participate and contribute]].</i></b>
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<b>[[How_to_use_this_organic_data_science_wiki | Get an account, and learn how to use this wiki]].</b>
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= Acknowledgments =
 
= Acknowledgments =
  
 
This work is supported by the National Science Foundation through the INSPIRE program with grant number IIS-1344272.
 
This work is supported by the National Science Foundation through the INSPIRE program with grant number IIS-1344272.

Latest revision as of 10:56, 2 December 2014

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. 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.

Technical and Social Aspects of Organic Data Science

We are pursuing a social computing approach that takes into account human aspects such as incentives and participation, while providing the fabric for representing and coordinating tasks involved in accomplishing science goals. Our approach will openly expose science tasks, facilitating inspection and engagement of new potential contributors. The collaboration will grow in an organic way, drawing in people and other contributions from existing data providers and cyberinfrastruture resources.

Ongoing Technical Activities

We are working on several major activities:

  1. Design the technical aspects of our organic data science framework
  2. Understand the human-centered computing aspects of organic data science

Contributing to this project

There is a growing set of contributors to the project.

We are testing this framework with a collaborative research project focused on the theoretical and experimental aspects of the isotopic age of water. Visit that project site.

The contents of this wiki are accessible to everyone. If you would like to contribute new content, please contact us to obtain an account by emailing us at organic.data.science@gmail.com.

Learning to Use the Organic Data Science Framework

Get an account to learn in our Training site. You can also browse the documentation pages.

Acknowledgments

This work is supported by the National Science Foundation through the INSPIRE program with grant number IIS-1344272.

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