DataTas Seminar Series

12:00 – 2:00PM July 27 2017
IMAS Waterfront Building (Flex Space)
Welcome to the next session of the DataTas Seminar Series.This month, we have an exciting selection of speakers covering different aspects of the data pipeline, from ensuring that research is reproducible to the logistics in maintaining data into the future.

Following on from the speakers, we kicking off a series of Software Carpentry workshops. Scroll down for more details.

See you there,



Protecting Public Data: Trump’s lessons for data managers everywhere
Steve Diggs (Scripps Institution of Oceanography)Steve Diggs has been heavily involved in the public data “rescue” efforts in the USA this year, in which citizen data managers copied important data sets and their metadata from government data repositories in response to the results of last year’s election and Donald Trump’s announcement that funding would be reduced for some earth observation science programs.

Steve will give us an update on the data rescue efforts and what lessons can be learned globally about ensuring the longevity of published data. Steve is a data manager at the Scripps Institution of Oceanography in California.



The Australian Ocean Data Network
Natalia Atkins (IMAS, AODN)Natalia Atkins is a project officer at the Australian Ocean Data Network. She’ll take us through the process of publishing your data in a public data repository, and what happens to it from there, all the way through to other people discovering and reusing your data. Natalia is based at IMAS.


How to write a reproducible paper
Damien Irving (CSIRO)Science has undergone a computational revolution in recent decades, to the point where essentially all modern research relies heavily on software and code. Despite this profound change in the research methods employed by scientists, the reporting of computational results has changed very little in academic journals.

This lag has led to something of a reproducibility crisis, whereby it is impossible to replicate and verify most of today’s published computational results. In an attempt to address this problem, Damien will describe a simple procedure for reporting computational results that can be used for any journal paper.

Following on from the speakers, we will be kicking off a series of Software Carpentry workshops. Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills.

This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

Software Carpentry is free, but seats are limited. To register your attendance, please click the big “Register Now” button below.

Register Now

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