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Research Data Management
for Computational Science
Gerard Gorman
g.gorman@imperial.ac.uk
Christian Jacobs
c.jacobs10@imperial.ac.uk
1 / 9
Data requirements
Data produced by scientific software should be reproducible and
recomputable.
This requires:
raw data (input and output files)
the software (with info about the specific version used) to produce it
provenance data
We need a way of curating this data and software at the push of a
button...
...and a way of referencing it correctly in papers.
2 / 9
Figshare
In addition to papers and figures, Figshare (figshare.com) provides
hosting for datasets.
Each dataset is given its own Digital Object Identifier (DOI).
Programs developed by users can interface with Figshare via the
Figshare API.
3 / 9
Aims
Develop a program to automatically push software and data to
Figshare.
Incorporate this program into the workflow of Fluidity – an
open-source CFD code for fluid flow simulations
(http://amcg.ese.ic.ac.uk/fluidity).
DOIs are ‘minted’ automatically, and added to the current metadata
of simulation output.
4 / 9
Fluidity with RDM support
Current progress
Implementation of a Python program which enables the publication of
both software and data to Figshare.
Addition of a ‘publish’ option to Fluidity simulation setup files.
New DOIs created when:
Software is pushed to Figshare (if the specific version of the software,
identified by the git commit hash, has not been published already).
Input data is pushed to Figshare.
Output data is pushed to Figshare.
DOIs are recorded in the simulation setup file – if the simulation is
run again, the same DOI is used to store the data.
In the future, we will use MD5sums.
5 / 9
Fluidity with RDM support
Screenshot of the ‘publish’ option in the Fluidity simulation setup file. 6 / 9
Fluidity with RDM support
Example: simulation of the top hat cg supg test case
Screenshot of software, input data and output data automatically pushed to Figshare.
7 / 9
Links
The Software Sustainability Institute: www.software.ac.uk
Digital Curation Centre: www.dcc.ac.uk
Software Carpentry: software-carpentry.org (and Data
Carpentry: nescent.github.io/2014-05-08-datacarpentry)
Fidgit: www.github.com/arfon/fidgit
Reproducible Research course:
https://www.coursera.org/course/repdata
ROpenSci’s Reproducibility Guide:
http://ropensci.github.io/reproducibility-guide
8 / 9
’It has always been my habit to hide none of my methods, either
from my friend Watson or from any one who might take an
intelligent interest in them.’
Sherlock Holmes
9 / 9

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Research Data Management for Computational Science

  • 1. Research Data Management for Computational Science Gerard Gorman g.gorman@imperial.ac.uk Christian Jacobs c.jacobs10@imperial.ac.uk 1 / 9
  • 2. Data requirements Data produced by scientific software should be reproducible and recomputable. This requires: raw data (input and output files) the software (with info about the specific version used) to produce it provenance data We need a way of curating this data and software at the push of a button... ...and a way of referencing it correctly in papers. 2 / 9
  • 3. Figshare In addition to papers and figures, Figshare (figshare.com) provides hosting for datasets. Each dataset is given its own Digital Object Identifier (DOI). Programs developed by users can interface with Figshare via the Figshare API. 3 / 9
  • 4. Aims Develop a program to automatically push software and data to Figshare. Incorporate this program into the workflow of Fluidity – an open-source CFD code for fluid flow simulations (http://amcg.ese.ic.ac.uk/fluidity). DOIs are ‘minted’ automatically, and added to the current metadata of simulation output. 4 / 9
  • 5. Fluidity with RDM support Current progress Implementation of a Python program which enables the publication of both software and data to Figshare. Addition of a ‘publish’ option to Fluidity simulation setup files. New DOIs created when: Software is pushed to Figshare (if the specific version of the software, identified by the git commit hash, has not been published already). Input data is pushed to Figshare. Output data is pushed to Figshare. DOIs are recorded in the simulation setup file – if the simulation is run again, the same DOI is used to store the data. In the future, we will use MD5sums. 5 / 9
  • 6. Fluidity with RDM support Screenshot of the ‘publish’ option in the Fluidity simulation setup file. 6 / 9
  • 7. Fluidity with RDM support Example: simulation of the top hat cg supg test case Screenshot of software, input data and output data automatically pushed to Figshare. 7 / 9
  • 8. Links The Software Sustainability Institute: www.software.ac.uk Digital Curation Centre: www.dcc.ac.uk Software Carpentry: software-carpentry.org (and Data Carpentry: nescent.github.io/2014-05-08-datacarpentry) Fidgit: www.github.com/arfon/fidgit Reproducible Research course: https://www.coursera.org/course/repdata ROpenSci’s Reproducibility Guide: http://ropensci.github.io/reproducibility-guide 8 / 9
  • 9. ’It has always been my habit to hide none of my methods, either from my friend Watson or from any one who might take an intelligent interest in them.’ Sherlock Holmes 9 / 9