Behaverse Data Model (BDM)
Unified dataset format for cognitive tests and questionnaires
There are increasing amounts of behavioral data freely available on the internet. Metadata standards and semantic web make it easier to find them. However, there are large inconsistencies in the way those datasets are structured, in the way their variables are named, and even in what is meant by various common terms. These inconsistencies make it unnecessarily hard to reuse or combine datasets and hinder the development of effective tools.
The Behaverse Data Model (BDM) defines a coherent data model for behavioral data which unifies a wide range of cognitive tests, questionnaires, and instructions. It establishes guidelines for structuring behavioral datasets and naming behavioral variables.
How to use this website
Following Diátaxis approach to documentation, this website is organized into the following parts:
- Tutorials: Step-by-step instructions for integrating BDM into your projects.
- How-to guides: Practical guides for using BDM in different contexts.
- Reference: Formal specifications for BDM datasets and tables.
- Explanation: Detailed explanations of BDM concepts and design decisions.
You can also check:
Evolution of the BDM
To learn more about the ideas behind the BDM, see “the structure of behavioral data” on arXiv. And to suggest improvements to the specification, please read the design process and visit discussions on GitHub.