Open Science Data Cloud PIRE bio photo

Open Science Data Cloud PIRE

Providing training in data intensive computing using the Open Science Data Cloud.

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See also the full agenda and Cees de Laat’s PIRE webpage.

DAY 1 (Mon, 08-Jun 2015)

Session 1: Welcome & Introduction
Chair: Paola Grosso & Cees de Laat, University of Amsterdam

Session 2: OSDC PIRE participant self-introduction session
Chair: Maria Patterson, University of Chicago
Participants in the workshop, including organizers and speakers, will introduce themselves and provide a record about themselves for consultation during and after the workshop.

Session 3: Big Data Challenges, Solutions, and the Open Science Data Cloud
Chair: Maria Patterson, University of Chicago

DAY 2 (Tues, 09-Jun 2015)

Session 4: Research at the PIRE hosts
Chair: Robert Grossman, University of Chicago

Session 5: Amsterdam Big Data Research
Chair: Paola Grosso, University of Amsterdam

Session 6: Data Intensive Science: Workflow and Provenance
Chair: Zhiming Zhao, University of Amsterdam

DAY 3 (Wed, 10-Jun 2015)

Session 7: The research challenge
Chair: Cees de Laat/Paola Grosso

DAY 4 (Thurs, 11-Jun 2015)

Session 8: Handling data

Chair: Miroslav Zivkovic

Session 9: Data Transfer and Networking
Chair: Paola Grosso

Session 10: Parallel Sessions on Project Development

  • Orientation to research at each host location.
  • Extended lunch with informal discussions.

Session 10A: Project Development in AIST
Chair: Jason Haga

Session 10B: Project Development in Sao Paolo
Chair: Fernando Redigolo

Session 10C: Project Development in Edinburgh
Chairs: Malcolm Atkinson and Rosa Filgueira

Session 10D: Project Development in Amsterdam
Chair: Zhiming Zhao

DAY 5 (Fri, 12-Jun 2015)

Session 10: Challenge presentations and prizes
Chair: Cees de Laat/Paola Grosso

  • A student from each group will present their work and the judges will decide on the winner.

Challenge results

Team Title Score Rank
Steven Rapp, Melissa Bica, Theano Stavrinos, Race Clark gui4dispel4py: A dispel4py graphical user interface on the OSDC (slides) (paper) (github) 264 4
Nam Pho, Josh Miller A Reproducible and Automated Deployment of an HPC Application on a Private Cloud (slides) (paper) (github) 269 3
Ryan Mork, Genevieve Shattow Lasso: A meta search process to find collaborators (slides) (paper) (github) (website) 277 2
Grace Lu, Shelby Matlock, Jennifer Piscionere Daisy: Data Made Easy (slides) (paper) (website) 281 1

Session 11: What have we learn & where next?
Chairs: Heidi Morgan, Bob Grossman, Paola Grosso & Cees de Laat

  • What have we understood this week about data and how to make the best enable the use of big data in a scientific context?
  • What do we need to do & understand to make data-use easy and effective?
  • How should we do that?
  • Wrap-up & valediction