Errors are inevitable in science, yet academic institutions often lack a constructive approach to handling them, especially regarding data sharing. Fear of stigma from uncovering errors - whether through peer review, replication, or post-sharing - discourages transparency and hinders open science. This fear impedes progress in reliable, reproducible science. Therefore, we argue that addressing errors goes beyond providing correction tools; it requires a shift toward a positive error culture in academia.

In this workshop we want to openly discuss challanges and fears around data sharing with the participants: How do colleagues and supervisors react when errors are found? What "officially" happens? etc. Additionally we will review existing infrastructures for data-sharing and error management and discuss their role in supporting or hindering a constructive error culture. In this dialogue we will identify obstacles to transparency adress what is needed to go one step forward towards an improved and more constructive error culture in science.

The content of the workshop is among other sources based on this preprint by: Frank, M., Hesselmann, F., Jolliffe, J., Miller, B., Vosskuhl, J., & Zänkert, S. (2024, December 20). Error Needs Culture! Advancing Data Sharing by Acknowledging Errors. https://doi.org/10.31219/osf.io/kruhn

It is supported by and rooted in the NFDI section Training & Education (https://www.nfdi.de/section-edutrain/?lang=en ); WP8 - Error Culture in Science

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