DCO-DS

DCO-DS Meeting Notes for August 23, 2012

DCO-DS Weekly Infrastructure Meeting
Thursday 23 Aug 2012 (11:30a EDT)

General Meeting Information

Skype Handles (reference)

  • Patrick West/JollyBill - mrpatrickwest
  • John Erickson - olyerickson
  • Stephan Zednik - loki_patera
  • Peter Fox - peter.fox
  • Dan Molik - dan.molik
  • Frank Baker - urigsoomp
  • Sunshine Menezes - sunsh

DCO-DS Meeting Notes for August 16, 2012

DCO-DS Weekly Infrastructure Meeting
Thursday 16 Aug 2012 (11:30a EDT)

General Meeting Information

Skype Handles (reference)

  • Patrick West/JollyBill - mrpatrickwest
  • John Erickson - olyerickson
  • Stephan Zednik - loki_patera
  • Peter Fox - peter.fox
  • Dan Molik - dan.molik
  • Frank Baker - urigsoomp
  • Sunshine Menezes - sunshine.menezes

DCO-DS Meeting Notes for August 09, 2012

DCO-DS Weekly Infrastructure Meeting
Thursday 09 Aug 2012 (11:30a EDT)

General Meeting Information

Skype Handles

  • Patrick West/JollyBill - mrpatrickwest
  • John Erickson - olyerickson
  • Stephan Zednik - loki_patera
  • Peter Fox - peter.fox
  • Dan Molik - dan.molik
  • Frank Baker - urigsoomp
  • Sunshine Menezes - sunshine.menezes
  • Sara Hickox -

DCO-DS Project Meetings

Next Meetings

  • DCO-DS Scrums - Monday and Thursday, 10am ET, 8am MT - GotoMeeting Info
  • VIVO Developer's Telecon - Thursdays at 1pm ET/11am MT
  • VIVO Ontology Telecon - Once a month on a Tuesday

Meeting Notes

DCO-DS Project Partners

DCO Data Science Advisory Committee


Project Participants


Principal Investigator:

Peter Fox

Peter Fox is a Tetherless World Constellation Chair and Professor of Earth and Environmental Science, Computer Science and Cognitive Science at Rensselaer Polytechnic Institute. Fox also directs the Insitution-wide interdisciplinary Information Technology and Web Science program. Previously, he was [...]

Co Investigator:

John S. Erickson

John S. Erickson, Ph.D. has spent over two decades studying the unique social, legal, and technical problems that arise when managing and disseminating information in the digital environment. Currently Director of Research Operations at the Rensselaer Institute for Data Exploration and Applica [...]

Jim Hendler

James Hendler is the Tetherless World Professor of Computer and Cognitive Science, and the Assistant Dean for Information Technology and Web Science, at Rensselaer. He is also a faculty affiliate of the Experimental Multimedia Performing Arts Center (EMPAC), serves as a Director of [...]

Collaborators:

Ahmed Eleish

Ahmed Eleish is a graduate student in the Information Technology and Web Science department at Rensselaer Polytechnic Institute working with the Tetherless World Constellation. He received his Bachelor's degree in Computer Science from Helwan University in Egypt, then went on to work at Oracle Corp. [...]

Kathy Fontaine
Xiaogang Ma

Xiaogang (Marshall) Ma is a postdoctoral research associate at TWC, RPI, with a focus of research on Semantic e(Geo)Science. Before coming to RPI he was a PhD Candidate at Faculty ITC, University of Twente in the Netherlands, working on the theme 'Ontology Spectrum for Geological Data Interoperabil [...]

Hao Zhong

Hao Zhong is a PhD student at Rensselaer Polytechnic Institute in the Computer Science Department and works as a research assistant at the Tetherless World Constellation. He received his Bachelor degree in Economics from Sun Yat-sen University in China and M.S. in Applied Mathematics at RPI before h [...]

DCO-DS Project Glossary

Acronyms

DCO
Deep Carbon Observatory
DCO-DS
Deep Carbon Observatory Data Science Project within TWC
DCVO
Deep Carbon Virtual Observatory
DE
Deep Energy Directorate
DL
Deep Life Directorate
DMP
Data Management Plan
DMGC
Diamonds and the Mantle Geodynamics of Carbon
DSAC
DCO Science Advisory Committee
EPC
Extreme Physics and Chemistry Directorate
RF
Reservoirs and Fluxes Directorate
RPI
Rensselaer Polytechnic Institute
TWC
Tetherless World Constellation at Rensselaer Polytechnic Institute

People Glossary

[http://www

Deep Carbon Observatory Data Science

DCO_infrastructure.png

Research Areas: Data Science, X-informatics
Principal Investigator: Peter Fox
Co Investigator: John S. Erickson and Jim Hendler
Concepts: eScience, Data Management, Data Visualization, Data Science, Geophysical Science
Description:
Recent advances in data generation techniques, whether by experiments, measurements or computer simulation, quickly provide complex data characterized by source heterogeneity, multiple modalities, often high volume, high dimensionality, and multiple scales (temporal, spatial, and function). In turn, science and engineering disciplines are rapidly becoming more and more data driven by a variety of goals (the Deep Carbon Observatory is an exemplar); higher sample throughput, high resolution, additional physics/ chemistry/ biology, new instrumentation, and new integrated databases all with the ultimate aim of better understanding/modeling of the complex systems and their dynamics that underlie the processes being studied. However, analyzing libraries of complex data requires managing the inherent complexity to allow integration of the information and knowledge across multiple scales and spanning traditional disciplinary boundaries. Significant advances in methods, tools and applications for data science and informatics over the last five years can now be applied to multi- and inter-disciplinary problem areas. Virtual Observatories, Virtual Organizations, complex networks, linked data across systems, full life cycle data management, data integration, citation and attribution are now increasingly becoming an integral part of projects whether small (few people, one organization, modest data needs) or the very large (many investigators, organizations, diverse data needs).

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.


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