Specifications
Behaverse Data Model (BDM) is a dataset structure designed to capture information relevant to the study of human behavior across a wide range of cognitive tests and questionnaires. It defines a folder structure and a set of tidy tables for organizing data from diverse behavioral experiments.
General
Part of the BDM is common to all datasets, regardless of the specific type of activity:
- Folder structure
- A BDM dataset is a folder that contains data files and all relevant information needed to make sense of that data.
- Dataset cards
- Contain metadata and information about a dataset. Dataset cards also include a codebook to describe the semantics, structure, and format of the data variables.
- Studyflows
- Describe the study protocol and the sequence of activities that subjects are exposed to.
- Instructions
- Provide additional guidance and help about tasks presented to subjects in a study.
- Questionnaires
- Describe the questions presented to subjects and the responses they provide.
Specific
Some particular structures are unique to the type of data or activity. There are three levels of data:
- Level 1: Events
- The raw data that are collected during the experiment. They are the most detailed data and are typically sufficient for reproducing the original experiment.
- Level 2: Trials
- BDM considers trials as the core components of behavioral studies. These are task-specific, derived from event data, and typically designed to capture the main features of the scientific experiment.
- Level 3: Statistics & Models
- Summary statistics, scores, or models that are derived from trials (or raw events). They address research questions or used for downstream analyses.