Research as a graph.

Too Long; Didn't Read

Exploring data to gain knowledge, from biology to <a href="https://hackernoon.com/tagged/data-science" target="_blank">data-science</a>, can broadly be called <a href="https://hackernoon.com/tagged/research" target="_blank">research</a>. A lot has been written about why research needs to get its act together when it comes to documentation. Of course, there are good reasons to call for an end to the paper notebook: No backup, no search, no sharing. But even fully digital domains like machine learning suffer from a <a href="https://towardsdatascience.com/data-sciences-reproducibility-crisis-b87792d88513" target="_blank">reproducibility crisis</a>. It is extremely hard in all domains of research to understand what exactly lead to a particular result.