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DCO-VIVO: A Collaborative Data Platform for the Deep Carbon Science Communities Han Wang 1 ( ), Yu Chen 1 Patrick West.

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Presentation on theme: "DCO-VIVO: A Collaborative Data Platform for the Deep Carbon Science Communities Han Wang 1 ( ), Yu Chen 1 Patrick West."— Presentation transcript:

1 DCO-VIVO: A Collaborative Data Platform for the Deep Carbon Science Communities Han Wang 1 ( wangh17@rpi.edu ), Yu Chen 1 (cheny18@rpi.edu), Patrick West 1 (westp@rpi.edu), John S. Erickson 1 (erickj4@rpi.edu), Xiaogang Ma 1 (max7@rpi.edu), Peter Fox 1 (pfox@cs.rpi.edu) ( 1 Rensselaer Polytechnic Institute 110 8 th St., Troy, NY, 12180 United States) wangh17@rpi.educheny18@rpi.eduwestp@rpi.eduerickj4@rpi.edumax7@rpi.edupfox@cs.rpi.edu Deep Carbon Observatory (DCO) is a decade-long scientific endeavor to understand carbon in the complex deep Earth system. Thousands of DCO scientists from institutions across the globe are organized into communities representing four domains of exploration: Extreme Physics and Chemistry, Reservoirs and Fluxes, Deep Energy, and Deep Life. Cross-community and cross-disciplinary collaboration is one of the most distinctive features in DCO's flexible research framework. VIVO is an open-source Semantic Web platform that facilitates cross-institutional researcher and research discovery. it includes a number of standard ontologies that interconnect people, organizations, publications, activities, locations, and other entities of research interest to enable browsing, searching, visualizing, and generating Linked Open (research) Data. The DCO-VIVO solution expedites research collaboration between DCO scientists and communities. Based on DCO's specific requirements, the DCO Data Science team developed a series of extensions to the VIVO platform including extending the VIVO information model, extended query over the semantic information within VIVO, integration with other open source collaborative environments and data management systems, using single sign-on, assigning of unique Handles to DCO objects, and publication and dataset ingesting extensions using existing publication systems. We present here the iterative development of these requirements that are now in daily use by the DCO community of scientists for research reporting, information sharing, and resource discovery in support of research activities and program management. Poster: IN43A-3679 Glossary: CKAN – Data management system, the DCO Data Portal, http://data.deepcarbon.nethttp://data.deepcarbon.net DCO – Deep Carbon Observatory – https://deepcarbon.nethttps://deepcarbon.net Drupal – Content Management System, the DCO Community Portal, http://deepcarbon.nethttp://deepcarbon.net Handle – resolution services for unique and persistent identifiers, http://dx.deepcarbon.nethttp://dx.deepcarbon.net RPI – Rensselaer Polytechnic Institute TWC – Tetherless World Constellation at Rensselaer Polytechnic Institute VIVO - https://wiki.duraspace.org/display/VIVO/VIVO, the DCO Information Portalhttps://wiki.duraspace.org/display/VIVO/VIVO Acknowledgments: Person1 and Person2 from the Tetherless World Constellation at RPI Sponsors: Alfred P. Sloan Foundation Abstract Global community of ‘Carbon scientists’ contributing to the Deep Earth Computer (data legacy) comprising: Global Earth Mineral Laboratory Global Inventory of Deep Fluids Global Volcano Gas Emissions Global Census of Deep Microbial Life State of High Pressure and Temperature Carbon and Related Materials Global Inventory of Diamonds with Inclusions DataInformationKnowledge ProducersConsumers Context Presentation Organization Integration Conversation Creation Gathering Experience Group Based Collaboration Group data deposit and reporting Listings of group content Group management and messaging Listings of group documents VIVO - represents academic research communities Every person, organization, or other data entity in VIVO has a unique identifier VIVO enables the discovery of research and scholarship across disciplines at one institution or across many Records are both human-readable and machine-readable VIVO Extension - we’ve extended (yes, ontologies) VIVO to the science network – datasets, instruments, sites, etc. DCO Resources


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