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DCO-VIVO: A Collaborative Data Platform for the Deep Carbon DCO-VIVO: A Collaborative Data Platform for the Deep Carbon

DCO-VIVO: A Collaborative Data Platform for the Deep Carbon - PowerPoint Presentation

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DCO-VIVO: A Collaborative Data Platform for the Deep Carbon - PPT Presentation

Communities Han Wang 1 wangh17rpiedu Yu Chen 1 cheny18rpiedu Patrick West 1 westprpiedu John S Erickson 1 erickj4rpiedu Xiaogang Ma 1 max7rpiedu ID: 477118

vivo dco research data dco vivo data research deep information deepcarbon rpi community group net carbon management global collaboration

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DCO-VIVO: A Collaborative Data Platform for the Deep Carbon Science CommunitiesHan Wang1 (wangh17@rpi.edu), Yu Chen1 (cheny18@rpi.edu), Patrick West1 (westp@rpi.edu), John S. Erickson1 (erickj4@rpi.edu), Xiaogang Ma1 (max7@rpi.edu), Peter Fox1 (pfox@cs.rpi.edu) (1Rensselaer Polytechnic Institute 110 8th St., Troy, NY, 12180 United States)

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.net DCO – Deep Carbon Observatory – https://deepcarbon.netDrupal – Content Management System, the DCO Community Portal, http://deepcarbon.net Handle – resolution services for unique and persistent identifiers, http://dx.deepcarbon.netRPI – Rensselaer Polytechnic InstituteTWC – Tetherless World Constellation at Rensselaer Polytechnic InstituteVIVO - https://wiki.duraspace.org/display/VIVO/VIVO, the DCO Information Portal

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 LifeState of High Pressure and Temperature Carbon and Related MaterialsGlobal Inventory of Diamonds with Inclusions

Data

Information

Knowledge

Producers

Consumers

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 Statistics:

Over 2700 people across 462 organizations representing

Over 1000 publications

Over 1700 datasets

And 339 research locations

We take all of that information from all those different science domains across all those organizations and we organize it into a knowledge graph, currently over 450,000 triples.

We take the raw data, have users augment that with additional information and context, link the data together, then present it to the user from the knowledge store

DCO Architecture

DCO Community Portal for collaboration using Drupal.

d

eepcarbon.net

Links to add resources for the group/community

DCO Resources

Semantic representation of information stored and maintained in VIVO, a Knowledge Graph

i

nfo.deepcarbon.net

All Linked Together

And all resources receive a unique handle, a DCO-ID

dx.deepcarbon.net

DCO Single Sign-On using Shibboleth. Registration process feeds data into VIVO.

Visualizations within Drupal using

twsparql

module

Community Network Map

S2S Faceted Browser

DCO Resources (e.g. datasets, documents, images, movies, etc…) stored using CKAN Repository

d

ata.deepcarbon.net