Concurrent 3B: Implementing Best Practices around Open Data, Samples, and Code in Scholarly Publications
Open data connected to research papers form a key part of ensuring integrity and facilitating reuse and new science. Funders are increasingly requiring that research data be available. Many journals and publishers have signed onto guidelines and other statements of commitments (e.g., https://cos.io/top/ and www.copdess.org), and recent best practices are emerging around authorship and how to curate, cite, and license data, code, and samples and link them to the scholarly record. But many publishers and journals are also finding it challenging to practice what is being preached. This session through presentations and a panel discussion will provide an overview of these best practices around open data, code, and samples, as well as emerging standards on authorship; highlight best practices for repositories and the higher challenge of reproducibility, and discuss how to implement these practices in journal workflows. We will also discuss how to engage with the research community to help address cultural challenges for open science and reproducibility. Can publishers and journals work more collaboratively on these issues?
