The CSIRO Conference on Computational and Data Intensive Science

Reproducible Research

Workshop summary

Computational science is often not repeatable to the extent necessary to evaluate correctness and the importance of results. Without access to the software and data and a re-runnable workflow to verify results, the value of a publication is greatly diminished. This workshop will focus on the elements of a scientific computing workflow required to make it truly reproducible.

Topics planned include:

  • Introduction to Reproducible Research
  • Sharing & Publishing Code and Data
  • Capturing Provenance
  • Reproducible Research with R: Markdown, Knitr, Packrat
  • Reproducibility in Climate Modelling
  • Software and Data Management Planning
  • Hands-On with eResearch Learning Stations (those that relate to RR)

Program

Time Session
9.00a.m. – 10.30a.m. Introduction to Reproducible Research – Sam Moskwa
Sharing Code and Data with the DAP – Sue Cook
10.30a.m. – 11.00a.m. Morning Tea
11.00a.m. – 12.30p.m. Provenance – Nick Car
RR with R: Markdown, Knitr, Packrat – Alex Whan
Reproducible Climate Modelling – Martin Dix
12:30p.m. – 1:30p.m. Lunch
1:30p.m. – 3:00p.m. RR in interdisciplinary environmental assessments – Becky Schmidt
Galaxy – Annette McGrath / Philippe Moncuquet
Workspace – Matt Bolger
3:00p.m. – 3:30p.m. Afternoon Tea
3:30p.m. – 5:00p.m. Docker for Reproducible Environments – Ben Leighton
Discussion

Date and time

Friday 13th February 2015. 9:00am to 5:00pm.

Location

Room: Clarendon D, level 2.
Melbourne Convention and Exhibition Centre
1 Convention Place, Melbourne, Victoria

Contact information

Sam Moskwa
Sam.Moskwa@csiro.au


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Attendance

The C3DIS 2017 will bring together researchers with computational and data science specialists from CSIRO, publicly funded research organisations and other invited institutions and organisations. This will enable attendees to share their science outcomes and learnings, and build a community of practice around Computational and Data Intensive science.

Cost:
Free for CSIRO staff and invited participants