Deep Carbon Observatory Data Science Platform

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The Object Registration and Deposit Infrastructure is to provide a user friendly portal that facilitates the process of sharing research data, documents and knowledge for domain scientists across the community of the Deep Carbon Observatory (DCO). The infrastructure incorporates several well established state-of-the-art open source projects such that the DCO Data Science have gained both solid support from the open source communities and the flexibility to develop extensions in order to meet the requirements in our specific case. The related open source projects are Drupal [1], CKAN [2] and VIVO [3]. Besides, we also setup our own proxy of the Handle System [4] such that each "Object", whatever data, document, instruments, people  or organizations, will be uniquely identified and universally resolvable. In this way, everything within the DCO community can be easily find and knowledge are shared across the globe.


DateCreated ByLink
December 4, 2013
Xiaogang MaDownload
March 1, 2013
Yanning ChenDownload
February 28, 2013
Yanning ChenDownload
February 28, 2013
Yanning ChenDownload

Related Projects:

DCO-DS LogoDeep Carbon Observatory Data Science (DCO-DS)
Principal Investigator: Peter Fox
Co Investigator: John S. Erickson and Jim Hendler
Description: Given this increasing data deluge, it is clear that each of the Directorates in the Deep Carbon Observatory face diverse data science and data management needs to fulfill both their decadal strategic objectives and their day-to-day tasks. This project will assess in detail the data science and data management needs for each DCO directorate and for the DCO as a whole, using a combination of informatics methods; use case development, requirements analysis, inventories and interviews.

Related Research Areas:

Data Frameworks
Lead Professor: Peter Fox
Description: None.
Concepts: eScience
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Lead Professor: Peter Fox
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Data science is helping scienists face new global problems of a magnitude, complexity and interdisciplinary nature whose progress is presently limited by lack of available tools and a fully trained and agile workforce.

At present, there is a lack formal training in the key cognitive and skill areas that would enable graduates to become key participants in escience collaborations. The need is to teach key methodologies in application areas based on real research experience and build a skill-set.

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Concepts: eScience
Lead Professor: Peter Fox
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Concepts: , eScience