  For more than a century, scientists have been collecting behavioral data--an
increasing fraction of which is now being publicly shared so other researchers
can reuse them to replicate, integrate or extend past results. Although
behavioral data is fundamental to many scientific fields, there is currently no
widely adopted standard for formatting, naming, organizing, describing or
sharing such data. This lack of standardization is a major bottleneck for
scientific progress. Not only does it prevent the effective reuse of data, it
also affects how behavioral data in general are processed, as non-standard data
calls for custom-made data analysis code and prevents the development of
efficient tools. To address this problem, we develop the Behaverse Data Model
(BDM), a standard for structuring behavioral data. Here we focus on major
concepts in behavioral data, leaving further details and developments to the
project's website (https://behaverse.github.io/data-model/).
