Data Sharing

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2020
July 2020
May 2020
January 2020

2019
October 2019

An inherent consequence of large, observational studies is that although effects may be statistically significant, they may only account for a small proportion of the variance and/or have little ability to predict outcomes. The objective of this workshop is to develop best practice recommendations for interpreting meaningful effects in “big data” by engaging scientists from a range of disciplines in discussions of meaningful science that go beyond statistical significance. Visit the meaningful effects meeting website for more information and to register.

FIT’NG together with NIH HBCD and ABCD: Important Considerations in the Age of Multisite Early Childhood Imaging Studies – https://fluxsociety.org/workshop/

This workshop is a collaborative effort of the Fetal, Infant, Toddler Neuroimaging Group (FIT’NG), the Healthy, Brain and Child Development (HBCD) Study, and the Adolescent Brain Cognitive Development (ABCD) Study that will focus on important design considerations at the single and multi-site study level. A hands-on workshop with the ABCD Study’s online Data Exploration and Analysis Portal (DEAP) will include demonstrations and tutorials featuring tools and methodologies for analyzing data from large, multi-site neuroimaging studies. This workshop also will provide a forum to facilitate communication and collaborative science amongst early childhood and adolescent neuroimaging scientists.

The ABCD-ReproNim Course provides a comprehensive background to data from the ABCD Study® while delivering hands-on, interactive instruction to enable rigorous and reproducible data analyses (see attached flyer). The course runs from October – February and is targeted to students, postdocs, and early career faculty. Visit the ABCD-ReproNim website for more information and to apply.

Please click here to view archived news and events.

Click here to view schematics of the Data Release Schedule.
Curated data are released annually via the NIMH Data Archive. Each release contains data on the full participant cohort. For more information about the types of data collected, please visit the Protocols page.

The purpose of the RDS file is for the implementation of the Data Exploration and Analysis Portal (DEAP) for the most current release of ABCD Study data. The RDS file is accessible via the ABCD page on the NIMH Data Archive.

Issues have been identified with ABCD Data Release 2.0.1 that impact some of the neuroimaging and genetics data. See below for details.

fMRI:
Due to incorrect post-processing, all task and resting-state fMRI data obtained on Phillips scanners should be excluded from all analyses. This includes tabulated and minimally processed data. This issue does not affect other modalities (sMRI, dMRI) or raw DICOM data (Fast Track). Philips fMRI data have been removed from DEAP and RDS. They will be corrected and made available with Data Release 3.0.

Philips fMRI minimally processed and tabulated data can be excluded by using the ABCD MRI Info instrument (abcd_mri01) and exclude by: mri_info_manufacturer = “Philips Medical Systems”. An R script is available at https://github.com/ABCD-STUDY/fMRI-cleanup to remove Philips fMRI data from tabulated data.

We recommend that all users re-run fMRI related analyses without the Philips fMRI data. For published studies, we encourage users to confirm findings without the Philips fMRI data and provide a corrigendum with the updated results. 

Genetics:
1) We found that 111 participants have incorrect genetic data. We will resolve this issue in Data Release 3.0. Meanwhile, we recommend excluding these data from genetic analyses. PGUIDs are provided to registered users via the NIMH Data Archive.

2) The Family ID and relationship between participants (rel_family_id and rel_relationship) in NDA instrument acspsw03 as well as in the RDS file is based on information obtained from guardians at enrollment and is not genetically informed. Currently, the Genetics Working Group, Coordinating Center (CC) and the DAIRC are collaboratively creating more comprehensive measures of family membership to replace Family ID for future releases to enhance analyses accounting for family structure, including twin-based analyses.

Detailed information regarding known issues in Data Release 2.0.1 is available on the NIMH Data Archive.

Due to reporting compilation and processing errors in 2.0 Data Release, a 2.0.1 Fix Release has been issued. Please ensure curated data (datasheets, minimally processed data) from the original Data Release 2.0 are replaced with data from 2.0.1 Fix Release. The following release notes were updated to reflect these changes:

• NDA 2.0.1 Release Notes ABCD README FIRST
• NDA 2.0.1 Release Notes Imaging Instruments
• NDA 2.0.1 Changes and Known Issues Fix Release 2.0.1
• NDA 2.0.1 Diffusion Magnetic Resonance Imaging
• NDA 2.0.1 Task-Based Functional Magnetic Resonance Imaging
• NDA 2.0.1 Mental Health
• NDA 2.0.1 Genetics

Registered users can obtain more information from https://nda.nih.gov/study.html?id=721, and access updated data via Option One or Option Two using the NDA Query Tool – https://nda.nih.gov/general-query.html. For downloading only updated minimally processed imaging data, add the Minimally Processed “Release 2.0.1” to the Workspace via Option Two.

Problems were identified with the data in 11 imaging-related files (5 diffusion tensor imaging (DTI) files and 6 fMRI Monetary Incentive Delay (MID) task files). See below for more detail. Corrected files will be re-uploaded to the NIMH Data Archive and available soon to users.

DTI subcortical and cortical ROIs and white fiber tracts (Part 1)
DTI subcortical and cortical ROIs and white matter fiber tracts (Part 4)
dMRI DTI Destrieux Parcellations Part 1
dMRI DTI Destrieux Parcellations Part 2
dMRI DTI Full Part 2
Task fMRI MID Average SEM Destriex Parcellations Part 2
Task fMRI MID Run 1 Beta Weights Destrieux Parcellations Part 2
Task fMRI MID Run 2 Beta Weights Destrieux Parcellations Part 2
Task fMRI MID Average Beta Weights Destrieux Parcellations Part 2
Task fMRI MID Run 1 SEM Destrieux Parcellations Part 2
Task fMRI MID Run 2 SEM Destrieux Parcellations Part 2

An error was also discovered in imaging data collected from Siemens scanners between September 2017 and December 2017 where structural images are flipped left-right. These data will be updated in a patch release later this year.

Detailed information regarding known issues in Data Release 2.0 is available on the NIMH Data Archive.

The second annual curated ABCD data release 2.0 is available now on the NIMH Data Archive. Data Release 2.0 includes baseline data on the full participant cohort, ages 9-10 years. This release contains much of the same type of data as in Data Release 1.1, and also includes genotypic data for the first time. Smokescreen genotyping array data are available on almost 11,000 participants. These include common variations, as well as variations associated with addiction, smoking behavior and nicotine metabolism.

ABCD Study data will be released annually. The next data release will be in early summer 2020 and will include the first longitudinal data from the 6-month and 1-year follow-up assessments.

For more information about Data Release 2.0, visit the ABCD data collection on the NIMH Data Archive. Full details are included in the Release Notes for Data Release 2.0.

Researchers new to the NIMH Data Archive system interested in gaining access to the data can create an account here and follow the instructions to request access. Returning researchers can log into their account using the Login button.

Click here for full baseline data demographics (n = 11,878 participants; 48% female; 52% male)

Curated data will be released annually through the NIMH Data Archive, beginning in 2018 with an interim release that includes high quality baseline data from the first ~4500 participants. Click here to view what the baseline data includes.

The ABCD Study, in partnership with the NIMH Data Archive (NIDA), releases fast-track unprocessed neuroimaging data and basic participant demographics. Click here for more information.

Please click here to view archived data releases.

Cortex has partnered with the ABCD Study with a special call for Stage 1 Registered Reports proposing analysis plans of the upcoming 2020 data release. Click here for more information.

The data collection from the Developmental Cognition and Neuroimaging (DCAN) Labs contains a regularly updated dataset of ABCD Brain Imaging Data Structure (BIDS) version 1.2.0 pipeline inputs and derivatives. Source data are currently comprised of all the ABCD Study participants baseline DICOM imaging data that passed initial acquisition quality control and were processed by DCAN Labs. The input DICOM data to this BIDS version 1.2.0 data collection were retrieved from the NIMH Data Archive (NDA) share of ABCD fast-track data and were last accessed on May 1, 2019. BIDS input data were converted from DICOMs using ABCD Dcm2Bids. BIDS derivatives data were derived from the DCAN Labs ABCD-BIDS MRI processing pipeline which ou(https:/nda.nih.gtputs Human Connectome Project (HCP) Minimal Preprocessing Pipelines-style data in both volume and surface spaces. The collection is here.

https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-20-001.html

Funding Opportunity Purpose

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH.  The over-arching goal of this NIDA/NIMH R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs in the use of ABCD data.

To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Courses for Skills Development. In particular, NIDA/NIMH are interested in supporting short-term workshops that will allow participants to explore the hands-on use of ABCD data, through cooperative or competitive approaches. Applications are due October 17, 2019.

NIH funding opportunity announcements for secondary analysis of ABCD Study data, “Accelerating the Pace of Child Health Research Using Existing Data from the Adolescent Brain Cognitive Development (ABCD) Study (R01 and R21)”, have been published. Visit NIDA Program Announcements for more information.

Authorized users now have access to the ABCD Data Exploration and Analysis Portal (DEAP) via the NIMH Data Archive to facilitate analysis of ABCD Study data. The DEAP allows users to analyze ABCD Study data online, while providing appropriate statistical models and tools that take advantage of the study design.

Click here to view the ABCD Study data analysis codes on the GitHub development site!

Fuzzy clusters derived from genetic correlation of cortical areas will be provided on request. Click here to view associated documentation.

Please click here to view archived data opportunities.