from data to software - supporting reproducible research · 2019-11-07 · software and platforms:...

PRESENTED BY

From data to software - supporting reproducible research

Research Support Community Day 2019

Matthias LiffersLiz Stokes

24/05/2019

http://bit.ly/rsc-soft-may

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ARDC is a transformational sector-wide initiative, working with partners to

build a coherent national and collaborative research data commons.

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Coordination and coherence: Facilitating an Australian research data commons.

People and policy: Transforming culture and community.

Data and services: Maximising the value of Australia’s data assets.

Software and platforms: Enabling research insights and supporting collaboration.

Storage and compute: Providing foundation infrastructure.

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ARDC strat

Without software, modern research would not be possible.

Hettrick 2016http://repository.jisc.ac.uk/6332/

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Nangia & Katz (2017)

https://doi.org/10.6084/m9.figshare.5328442.v3

Katz & Chue Hong (2018)

http://doi.org/10.1007/978-3-319-96418-8_34

Use 90% 95%Cannot continue without

70% 63%

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Baker 2016

https://doi.org/10.1038/533452a

A study is reproducible if you can take the original data and the computer code used

to analyze the data and reproduce all of the numerical findings from the study.

Peng 2016https://simplystatistics.org/2016/08/24/replication-crisis/

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For the purposes of this policy, data include, but are not limited to, the following:

● Data used to generate, or be displayed in, figures, graphs, plots, videos, animations, or

tables in a paper.

● New protocols or methods used to generate the data in a paper.

● New code/computer software used to generate results or analyses reported in the paper.

● Derived data products reported or described in a paper.

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American Geophysical Union

https://publications.agu.org/author-resource-center/publication-policies/data-policy/

Authors must make available upon request, to editors and reviewers, any previously

unreported custom computer code or algorithm used to generate results that are

reported in the paper and central to its main claims. Any reason that would

preclude the need for code or algorithm sharing will be evaluated by the editors who

reserve the right to decline the paper if important code is unavailable.

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Nature

https://www.nature.com/authors/policies/availability.html#code

Who do we engage on this topic?

Who are our allies and audience?

(Who did we engage about data?)

https://tinyurl.com/rscdayworkshop

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Shall we play a game?

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https://doi.org/10.4225/08/5a6156e250aec https://doi.org/10.4225/08/57D107A45075D

Credit where credit’s due

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http://doi.org/10.25917/5b3dc6bb7bb70https://doi.org/10.5281/zenodo.605791

https://doi.org/10.6084/m9.figshare.1004727.v5

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What skills do you already have that could be applied to this?

What resources and training do you think you might need?

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http://www.poll-maker.com/Q5TA6G6

woohoo live poll!

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CONTACT

Level 2, AIBN (Building 75)Brisbane QLD 4072AUSTRALIA

+61 7 3365 1120info@ardc.edu.au ardc.edu.au