Why don't we share data and code?

SORTEE Conf 2022

Why don’t we share data and code?

July 11th, 15:00 AEST (GMT +10)

Abstract:

In support of research transparency and reproducibility we need to make our analytical code and data available, not only our results. A description of our methods is often not enough for others to be able to use and reuse our analysis and test our results, in particular when the code produced is an integral part of the research presented. The digital environment in which we live has rapidly developed our computational accessibility, storage options and online collaborations. Subsequently, the need to upskill digital literacy, in all fields of study, has increased. Learning to present, publish and cite data and the underlying analysis code is part of scientific integrity now more than ever.

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Intro:

Thank you all for your attendance, and those watching the recording. I am honoured to be listed among the plenary speaker’s line-up of this conference. And I am excited to share work that I am passionate about. I believe that each of us can play a role in advocating for better science, and especially those of you who are taking the time to join me in this conversation. This is more than anything, a motivational talk, I am going to share some examples of collaborative work that I am part of. I’ll throw out a few tips that you can use in your journey to motivate others, to respond to negativity and to support others in doubt. My goal is to send a message by asking you to reflect on your practice, and maybe get everyone excited about code sharing at the end of this. I am going to pose a lot of questions, So, let’s start, shall we?

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Video recording: https://youtu.be/75nIGS6VNSY

Transcripts available in English,Spanish, French, Portuguese and Hindi: https://osf.io/a5m73/files/osfstorage

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About the speaker/author:

Paula Andrea Martinez is the Software Project Coordinator of the Australian Research Data Commons (ARDC) and Research Software Alliance (ReSA) Community Manager. She is leading projects of the Software Program to See, Shape and Sustain research software. She is a co-chair of the international FAIR4RS working group, co-host of the Visible Research Software interest group, and Steering Committee member of the Research Software Engineers RSE-AUNZ association. She has developed strategic planning and work packages to lead change in the recognition of research software as a first-class scholarly output of research. After completing a PhD in applied bioinformatics she transitioned from being a research software engineer to a trainer, then she became an advocate of research best practices, and now working on incentivising policy implementation to recognise authors of research software.