
The Turing Way is a book and community on reproducible, ethical and inclusive data science, spanning multiple disciplines and fields. The Turing Way forms a space where people from various backgrounds can come together as a community to exchange ideas and best practices around reproducible data science. These discussions and practices are then documented and shared in the book, promoting alignment of best practices and encouraging broader use (by at least 5000 users of the book on a weekly basis). For many Dutch researchers, The Turing Way is the ‘go to standard’ to improve the reproducibility of their research, and some institutes/research groups are already implementing these practices into their own working procedures. During this workshop you will be introduced to The Turing Way, and we will demonstrate how you can contribute your knowledge and expertise to the community and handbook! We will go over the contribution process in a practical manner, ensuring that you will be a contributor by the end of the session. To close the session, we will briefly discuss the importance of institutional support for university staff to contribute to resources such as The Turing Way. Without dedicated time or resources to contribute to these materials we risk that these Open Science projects become outdated and are no longer viable to maintain in the long term.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
