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Plenary given at the 2022 Conference of the Society for Open, Reliable, and Transparent Ecology and Evolutionary Biology **Why don’t we share data and code?** **11 July 0500-0630 UTC** **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. **Bio:** 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.
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