Data Exploration & Analysis Portal (DEAP)

The Data Exploration & Analysis Portal (DEAP) is designed to lower the barriers to scientific research with NBDC datasets by promoting scientific best practices and fostering collaboration, sharing, and reproducible science.

DEAP provides user-friendly tools to explore the ontologies and data dictionaries of NBDC datasets (ABCD & HBCD), including variable-level descriptive statistics and tight integration with the data documentation. All users can interactively explore the study’s data dictionary using a tree-based ontology browser that organizes database tables hierarchically by assessment domain, data source, and other characteristics.

Users with a valid data use certification (DUC) will be able to create and save custom datasets tailored to their specific research needs, share them with collaborators, and download them in several output formats (CSV/TSV, Stata, SPSS, RDS, and Parquet/Arrow). Future versions of DEAP will allow users to create interactive visualizations and to analyze data directly in the application, including voxel- and vertex-wise brain imaging analyses.

Features below are available for the ABCD & HBCD studies.

Publicly accessible features:

• Data dictionary & study ontology explorer: Variable details, aggregate statistics, study structure

Features for users with a data use certification:

• Custom tabulated dataset creation

• Storage and organization of custom datasets
• Sharing and locking of datasets for collaboration and reproducibility

• Pre-assembled datasets for ease of download
• Download in several file formats: CSV/TSV, Stata, SPSS, RDS, and Parquet/Arrow

Upcoming features:

• Explore datasets with descriptive statistics & visualizations directly within the application
• Analyze datasets using inferential statistics (including voxel-/vertex-/connectome-wise) and visualize results directly within the application
• Analyze ABCD/HBCD data in a secure research environment using R or Python