Does nanoscience need a standarized protocol?

Nanoscience is a relatively young research field built on the shoulders of consolidated areas ranging from solid state physics to biology. Its interdisciplinary nature imposes the flow of heterogeneous data from various domains of predefined conventions that ultimately prevents the standardization of workflow, raising the possibility of its further fragmentation and compromising reproducibility. This is probably the time to make an effort to establish good enough practices for experimental nanoscientists. This article proposes a set of simple rules that can facilitate data management and improve their reusability. The initial cognitive costs of implementing the proposed protocol can be high, but they can save energy and time in the long term. By adopting these practices, researchers can ensure the reusability of their data early in a project and accelerate their writing process.