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See the [[Quick_Guide_to_Using_a_Wiki | Quick Guide to Using a Wiki]], or the detailed [//meta.wikimedia.org/wiki/Help:Contents User's Guide].
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= What is Organic Data Science? =
  
=== Structured Content in a Semantic Wiki ===
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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.
  
This site uses a semantic wiki framework, [http://www.w3.org/RDF/ RDF] as the semantic representation standard.
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= Technical and Social Aspects of Organic Data Science =
We have developed it as an extension of [http://semantic-mediawiki.org/ Semantic MediaWiki] that enables contributors to use structured semantic properties to describe the contents of the wiki. 
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Another way in which this wiki structures content is though pre-defined categories. Pages can have special categories, which gives the wiki pages a pre-defined semantic structure. Special categories include Task, Answer, Data, Workflow, and ExecutedWorkflow.
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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.  
  
In addition, each page has a section called "Structured Properties", where contributors can specify properties and values of the topic of the page.  Any contributor can define new properties on the fly.  Any contributor can change an existing property by one that is used elsewhere, effectively normalizing the use of the property across pages and therefore across objects.
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=== Ongoing Technical Activities ===
  
Contributions are also structured.  At the bottom of each page, the contributors to that page are shown together with the details of their contributions to that page.  Contributors also have their own pages, which include any background information they wish to share, and where the edits that they have made are automatically summarized and shown.
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We are working on several major activities:
  
=== Accessing Structured Content Externally ===
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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]]
  
Build your own apps with the content of this wiki !
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= Contributing to this project =
You can find extensive documentation about its '''[http://skc.isi.edu/odp/api.php API here]'''.
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=== Using Structured Content to Dynamically Create Sections of Wiki Pages ===
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<b>[[Contributors | There is a growing set of contributors to the project]].</b>
  
Those properties can then be used to answer queries that aggregate automatically those properties and pages.  Below are some examples of how a query can be stated using those structured properties, and the automatically generated table that answers the queryThese queries can be used to create dynamically generated content.
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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].
  
==== Example: Get a List of Lakes ====
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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>
{{ #ask: [[Is a::Lake]]
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| ?Area of Catchment
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=== Learning to Use the Organic Data Science Framework ===
| ?Latitude
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| ?Longitude
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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]].
| default=No Lakes in Knowledge Base
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}}
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= Acknowledgments =
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This work is supported by the National Science Foundation through the INSPIRE program with grant number IIS-1344272.

Latest revision as of 18:56, 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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