Jimmy Oh wins the Catalyst IT/Dragonfly Open Source Research Prize
Jimmy Oh has been awarded the Catalyst IT/Dragonfly Open Research Prize for his work on the TableToLongForm package.
Jimmy is a PhD student at the University of Auckland in the Department of Statistics. His research examines methods to
make open data more accessible to a wider audience, ultimately culminating in a tool (or tools) to make the process of
obtaining, processing and using open data easy.
Jimmy presented his work on the TableToLongForm package at the 2013 “Analytics for a Changing World: From Data to
Decisions” conference jointly held by the New Zealand Statistical Association and the Operations Research Society of New
Zealand. The conference was held between 24-27 November 2013, at the University of Waikato in Hamilton.
The $500 award is sponsored by Catalyst IT and Dragonfly Science. Catalyst is a specialist in free and open source
technologies. Catalyst's mission is to make open source the preferred technology choice of New Zealand (see
www.catalyst.net.nz). Dragonfly Science carries out independent statistical modelling and analysis (see
www.dragonfly.co.nz).
To be eligible for the Open Source Research Prize, each stage of the research process had to be carried out with open
source tools. After careful consideration of all the talks at this conference, the judges decided to award the Open
Source Research Prize to Jimmy Oh. Jimmy's TableToLongForm package made it easier to access open data sources, which
furthered the goals of open source research and open data.
Catalyst were delighted to hear that Open Source Research Prize encouraged Jimmy to continue developing TableToLongForm,
whose initial plans were to shelve it for a few months to focus on other projects.
TableToLongForm is an R package that automatically converts hierarchical Tables intended for a human reader into a
simple LongForm Dataframe that is machine readable, hence enabling much greater utilisation of the data. It does this by
recognising positional cues present in the hierarchical Table (which would normally be interpreted visually by the human
brain) to decompose, then reconstruct the data into a LongForm Dataframe.
Further information on TableToLongForm package can be found at: https://www.stat.auckland.ac.nz/~joh024/Research/TableToLongForm/
ENDS