Data-Sharing and Open-Source Initiatives

Accelerating discovery by making data and tools freely available to researchers everywhere

The Child Mind Institute is a leading force in open neuroscience — the movement to make scientific data, tools and knowledge accessible to all researchers. Most academic medical centers and research institutes hold their data until papers are published, but we freely share massive amounts of data to speed the pace of discovery. This demonstration of an open science philosophy will encourage institutions to embrace a culture change that produces breakthroughs for the field.

Open science initiatives supported by the Child Mind Institute include the International Neuroimaging Data-Sharing Initiative (INDI), the Autism Brain Image Data Exchange (ABIDE), and the CMI Open Science Library on Mendeley. Our data-sharing initiatives and open-source tools can be accessed through the links below and include:


Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)

An open science resource focused on dimensional data-gathering. In line with the National Institute of Mental Health (NIMH), we conceptualize mental illness in terms of continuous domains rather than discrete syndromes. We present a novel battery of EEG-based paradigms that focuses on multiple key domains of cognitive function that may be useful for advancing the study of clinical cognitive neuroscience.

Access the Multimodal Resource for Studying Information Processing in the Developing Brain here. It contains:

  • Information on the protocol
  • EEG data downloads
  • Phenotypic data downloads


Configurable Pipeline for the Analysis of Connectomes (C-PAC)

C-PAC is open-source software for MRI analysis that can be used by researchers with limited computer skills, providing automated preprocessing and analysis of resting-state fMRI data. C-PAC builds upon a robust set of existing software packages and makes it easy for both novice users and experts to explore their data using a wide array of analytic tools. C-PAC has been designed to reliably preprocess and analyze data for hundreds of subjects in a single run. An integrated Quality Control interface facilitates rapid examination of pipeline outputs.

Access the Configurable Pipeline for the Analysis of Connectomes here. It contains:

  • Software installer
  • Developer documentation
  • Support forum


Healthy Brain Network Serial Scanning Initiative

An open science resource assessing and comparing test-retest reliabilities for full-brain connectivity patterns derived from functional MRI data obtained during different scan conditions. 13 adult participants (aged 21-42) were repeatedly scanned under each of four scan conditions across 12 sessions: 1) rest, 2) naturalistic viewing of a sequence of abstract shapes, 3) naturalistic viewing of highly engaging movies and 4) performance of an active task. For non-rest conditions, three different stimuli were repeated four times across the 12 sessions to allow for consideration of repetition effects.

Access the Healthy Brain Network Serial Scanning Initiative here. It contains:

  • Information on the protocol
  • MRI data downloads
  • Basic phenotypic data downloads


International Neuroimaging Data-Sharing Initiative (INDI)

Researchers and institutions must adopt collaborative approaches to advance the science of the developing brain. The International Neuroimaging Data-sharing Initiative is a venue for investigators to openly share their data through large-scale efforts such as the ADHD-200, the Consortium for Reliability Reproducibility, and the Autism Brain Imaging Data Exchange. INDI has aggregated and shared more than 15,000 MRI images from labs around the world. More than 800 publications have used INDI Data.

Access the International Neuroimaging Data-Sharing Initiative here. It contains:

  • Links to aggregated datasets
  • Information on INDI projects
  • Registration and access request