NIMH Data Archive - Data

Genomics

Neuroimaging

Phenotype¹

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Clinical Trial

¹ Numbers reported are subjects by age

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Grant/Project Number

Format should be in the following format: Activity Code, Institute Abbreviation, and Serial Number. Grant Type, Support Year, and Suffix should be excluded. For example, grant 1R01MH123456-01A1 should be entered R01MH123456

Collection - Use Existing Experiment

To associate an experiment to the current collection, just select an axperiment from the table below then click the associate experiment button to persist your changes (saving the collection is not required). Note that once an experiment has been associated to two or more collections, the experiment will not longer be editable.

The table search feature is case insensitive and targets the experiment id, experiment name and experiment type columns. The experiment id is searched only when the search term entered is a number, and filtered using a startsWith comparison. When the search term is not numeric the experiment name is used to filter the results.

Select	Experiment Id	Experiment Name	Experiment Type	Created On

24	HI-NGS_R1	Omics	02/16/2011
475	MB1-10 (CHOP)	Omics	06/07/2016
490	Discovery and CRISPR validation of genetic factors associated with antipsychotic-induced weight gain and cardiometabolic risk	Omics	07/07/2016
501	PharmacoBOLD Resting State	fMRI	07/27/2016
506	PVPREF	Omics	08/05/2016
509	ABC-CT Resting v2	EEG	08/18/2016
13	Comparison of FI expression in Autistic and Neurotypical Homo Sapiens	Omics	12/28/2010
18	AGRE/Broad Affymetrix 5.0 Genotype Experiment	Omics	01/06/2011
22	Stitching PCR Sequencing	Omics	02/14/2011
26	ASD_Methylation	Omics	03/01/2011
29	Microarray family 03 (father, mother, sibling)	Omics	03/24/2011
37	Standard paired-end sequencing of BCRs	Omics	04/19/2011
38	Illumina Mate-Pair BCR sequencing	Omics	04/19/2011
39	Custom Jumping Libraries	Omics	04/19/2011
40	Custom CapBP	Omics	04/19/2011
41	Immunofluorescence	Omics	05/11/2011
43	Autism brain sample genotyping, Illumina	Omics	05/16/2011
47	ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 System	Omics	08/01/2011
53	AGRE Omni1-quad	Omics	10/11/2011
59	AGP genotyping	Omics	04/03/2012
60	Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controls	Omics	06/23/2012
63	Microemulsion PCR and Targeted Resequencing for Variant Detection in ASD	Omics	07/20/2012
76	Whole Genome Sequencing in Autism Families	Omics	01/03/2013
519	Resting	fMRI	11/08/2016
90	Genotyped IAN Samples	Omics	07/09/2013
91	NJLAGS Axiom Genotyping Array	Omics	07/16/2013
93	AGP genotyping (CNV)	Omics	09/06/2013
106	Longitudinal Sleep Study. H20 200. Channel set 2	EEG	11/07/2013
107	Longitudinal Sleep Study. H20 200. Channel set 3	EEG	11/07/2013
108	Longitudinal Sleep Study. AURA 200	EEG	11/07/2013
105	Longitudinal Sleep Study. H20 200. Channel set 1	EEG	11/07/2013
109	Longitudinal Sleep Study. AURA 400	EEG	11/07/2013
116	Gene Expression Analysis WG-6	Omics	01/07/2014
131	Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1	Eye Tracking	02/27/2014
132	Jeste Lab UCLA ACEii: Animacy - Project 1	Eye Tracking	02/27/2014
133	Jeste Lab UCLA ACEii: Mom Stranger - Project 2	Eye Tracking	02/27/2014
134	Jeste Lab UCLA ACEii: Face Emotion - Project 3	Eye Tracking	02/27/2014
145	AGRE/FMR1_Illumina.JHU	Omics	04/14/2014
146	AGRE/MECP2_Sanger.JHU	Omics	04/14/2014
147	AGRE/MECP2_Junior.JHU	Omics	04/14/2014
151	Candidate Gene Identification in familial Autism	Omics	06/09/2014
152	NJLAGS Whole Genome Sequencing	Omics	07/01/2014
154	Math Autism Study - Vinod Menon	fMRI	07/15/2014
155	Resting	fMRI	07/25/2014
156	Speech	fMRI	07/25/2014
159	Emotion	fMRI	07/25/2014
160	syllable contrast	EEG	07/29/2014
167	School-age naturalistic stimuli	Eye Tracking	09/19/2014
44	AGRE/Broad Affymetrix 5.0 Genotype Experiment	Omics	06/27/2011
45	Exome Sequencing of 20 Sporadic Cases of Autism Spectrum Disorder	Omics	07/15/2011

Collection - Add Experiment

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URL:

To add an existing Data Structure, enter its title in the search bar. If you need to request changes, select the indicator "No, it requires changes to meet research needs" after selecting the Structure, and upload the file with the request changes specific to the selected Data Structure. Your file should follow the Request Changes Procedure. If the Data Structure does not exist, select "Request New Data Structure" and upload the appropriate zip file.

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Computational examination of RDoC threat and reward constructs in a representative, predominantly low-income, longitudinal sample at increased risk for internalizing disorders #3306

General
Experiments (0)
Shared Data
Publications (38)
Data Expected (13)
Associated Studies (0)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Computational examination of RDoC threat and reward constructs in a representative, predominantly low-income, longitudinal sample at increased risk for internalizing disorders
Collection Investigators:	Christopher Monk
Collection Description:	Depression and anxiety are prevalent, debilitating, and poorly understood disorders. RDoC charts the nature of these conditions across multiple units, but the domains are based on expert consensus, permitting bias and missed opportunities. Moreover, little is known about how adversity affects RDoC constructs and contributes to psychopathology. Thus, there is a critical need to rigorously evaluate RDoC domains in developmental samples from diverse backgrounds at increased risk for exposure to adversity and later psychopathology. We will use data-driven analytics to design, apply and validate multilevel-multimodal models of Threat and Reward constructs in an existing longitudinal cohort at risk for psychopathology. To predict internalizing symptoms, we will identify biotypes cross-sectionally and examine the longitudinal plasticity of RDoC-informed biotypes. Harsh social-ecological conditions will be deeply assessed and used to forecast the onset intensification of internalizing symptoms at multiple units. We will assess 1,000 young adults from The Fragile Families and Child Well being Study FFCWS, an ongoing study of children born to predominantly low-income families. Attributes of the FFCWS are 1 children were assessed at birth, 1, 3, 5, 9, 15 years 2 the sample is representative of people born in cities and, thus, unlike almost all other neuroimaging research, findings are generalizable 3 Although a full range of incomes are represented, there is substantial enrichment for low-income and African-American families, populations often under-represented in research and 4 participants are entering early adulthood, a period of heightened risk for psychopathology. We will assess Threat and Reward at four units of analysis symptoms, task-based behaviors, brain, and genomics and link these units to exposure to adversity. The central hypothesis is that the RDoC Threat and Reward constructs will each cluster across individuals and units, are distinct from each other, and have specific socio-ecologic predictors. We will examine multisource multimodal data structure in 1000 participants cross-sectionally and 213 participants longitudinally. Our transdisciplinary team of experts positions us well to elucidate the structure of the Threat and Reward constructs and map risk for internalizing biotypes. We will dramatically expand our established protocol to harmonize, aggregate, cross-sectionally and longitudinally analyze, cluster, and visualize the high-dimensional datasets. Using data-driven validation approaches at four units of analysis, we will examine three aims Aim 1 will examine RDoC Threat construct cross-sectionally, developmentally, and ecologically. Aim 2 will test RDoC Reward construct cross-sectionally, developmentally, and ecologically. Aim 3 will assess the degree to which Threat and Reward dissociate cross-sectionally, developmentally and ecologically. By deeply phenotyping a large cohort enriched for low income and African American participants, we will determine the validity of Threat Reward and findings will generalize to a population underrepresented in research and disproportionately affected by adversity.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	09/19/2019
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$3,076,033.00
Subjects Shared:	79
Collection DOI:	10.15154/9fmg-g617

{"values":[]}

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Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

Grant Information:

Project Number	Title	Start Date	Original End Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
R01MH121079-01	Computational examination of RDoC threat and reward constructs in a representative, predominantly low-income, longitudinal sample at increased risk for internalizing disorders	08/15/2019	06/30/2024	06/30/2024	1806	1647	UNIVERSITY OF MICHIGAN AT ANN ARBOR	$3,076,033.00

Clinical Trials:

helpcenter.collection.general-tab

Collection - General Tab

Fields available for edit on the top portion of the page include:

Collection Title
Investigators
Collection Description
Collection Phase
Funding Source
Clinical Trials

Collection Phase: The current status of a research project submitting data to an NDA Collection, based on the timing of the award and/or the data that have been submitted.

Pre-Enrollment: The default entry made when the NDA Collection is created.
Enrolling: Data have been submitted to the NDA Collection or the NDA Data Expected initial submission date has been reached for at least one data structure category in the NDA Collection.
Data Analysis: Subject level data collection for the research project is completed and has been submitted to the NDA Collection. The NDA Collection owner or the NDA Help Desk may set this phase when they’ve confirmed data submission is complete and submitted subject counts match at least 90% of the target enrollment numbers in the NDA Data Expected. Data submission reminders will be turned off for the NDA Collection.
Funding Completed: The NIH grant award (or awards) associated with the NDA Collection has reached its end date. NDA Collections in Funding Completed phase are assigned a subphase to indicate the status of data submission.
- The Data Expected Subphase indicates that NDA expects more data will be submitted
- The Closeout Subphase indicates the data submission is complete.
- The Sharing Not Met Subphase indicates that data submission was not completed as expected.

Blinded Clinical Trial Status:

This status is set by a Collection Owner and indicates the research project is a double blinded clinical trial. When selected, the public view of Data Expected will show the Data Expected items and the Submission Dates, but the targeted enrollment and subjects submitted counts will not be displayed.
Targeted enrollment and subjects submitted counts are visible only to NDA Administrators and to the NDA Collection or as the NDA Collection Owner.
When an NDA Collection that is flagged Blinded Clinical Trial reaches the maximum data sharing date for that Data Repository (see https://nda.nih.gov/nda/sharing-regimen.html), the embargo on Data Expected information is released.

Funding Source

The organization(s) responsible for providing the funding is listed here.

Supporting Documentation

Users with Submission privileges, as well as Collection Owners, Program Officers, and those with Administrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the option is also available to limit this information to qualified researchers only.

Grant Information

Identifiable details are displayed about the Project of which the Collection was derived from. You may click in the Project Number to view a full report of the Project captured by the NIH.

Clinical Trials

Any data that is collected to support or further the research of clinical studies will be available here. Collection Owners and those with Administrator privileges may add new clinical trials.

Frequently Asked Questions

How does the NIMH Data Archive (NDA) determine which Permission Group data are submitted into?

During Collection creation, NDA staff determine the appropriate Permission Group based on the type of data to be submitted, the type of access that will be available to data access users, and the information provided by the Program Officer during grant award.
How do I know when a NDA Collection has been created?

When a Collection is created by NDA staff, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.
Is a single grant number ever associated with more than one Collection?

The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.
Why is there sometimes more than one grant included in a Collection?

In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).

Glossary

Administrator Privilege

A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
Collection Owner

Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
Collection Phase
The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
- Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
- Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
- Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
- Funding Completed: A grant/project has reached the project end date.
Collection Title

An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
Grant

Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
Supporting Documentation

Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
NIH Research Initiative

NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
Permission Group

Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
Planned Enrollment

Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
Actual Enrollment

Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
NDA Collection

A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
Data Use Limitations

Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
Total Subjects Shared

The total number of unique subjects for whom data have been shared and are available for users with permission to access data.

Contact NDA Help Desk

ID	Name	Created Date	Status	Type
No records found.

helpcenter.collection.experiments-tab

Collection - Experiments

The number of Experiments included is displayed in parentheses next to the tab name. You may download all experiments associated with the Collection via the Download button. You may view individual experiments by clicking the Experiment Name and add them to the Filter Cart via the Add to Cart button.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may create or edit an Experiment.

Please note: The creation of an NDA Experiment does not necessarily mean that data collected, according to the defined Experiment, has been submitted or shared.

Frequently Asked Questions

Can an Experiment be associated with more than one Collection?
Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:
1. Copy the experiment with intent for modifications.
2. Associate the experiment to the collection. No modifications can be made to the experiment.

Glossary

Experiment Status

An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.
Experiment ID

The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.

Contact NDA Help Desk

Shared Data:

Title	Type	Number of Subjects
Beck Anxiety Inventory	Clinical Assessments	28
Beck Depression Inventory	Clinical Assessments	29
Center for Epidemiologic Studies Depression Scale (CES-D)	Clinical Assessments	29
Childhood Trauma Questionnaire	Clinical Assessments	28
Conflict Tactics Scale	Clinical Assessments	14
Effort-Expenditure for Reward Task	Clinical Assessments	62
Image	Imaging	28
Iowa Gambling Task	Clinical Assessments	69
Probabilistic Selection and Reversal Learning Task	Clinical Assessments	50
Research Subject	Clinical Assessments	29
Stress and Adversity Inventory	Clinical Assessments	28
The Positive and Negative Affect Schedule Adult Version	Clinical Assessments	29

helpcenter.collection.shared-data-tab

Collection - Shared Data

This tab provides a quick overview of the Data Structure title, Data Type, and Number of Subjects that are currently Shared for the Collection. The information presented in this tab is automatically generated by NDA and cannot be edited. If no information is visible on this tab, this would indicate the Collection does not have shared data or the data is private.

The shared data is available to other researchers who have permission to access data in the Collection's designated Permission Group(s). Use the Download button to get all shared data from the Collection to the Filter Cart.

Frequently Asked Questions

How will I know if another researcher uses data that I shared through the NIMH Data Archive (NDA)?

To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection. Alternatively, you may review an NDA Study Attribution Report available on the General tab.
Can I get a supplement to share data from a completed research project?

Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.
Can I get a supplement to share data from a research project that is still ongoing?

Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges. Please contact a program staff member at the appropriate funding institution for more information.

Glossary

Data Structure

A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
Data Type

A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
Shared

The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA Study have been shared as this is independently determined. Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions. Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared.

Contact NDA Help Desk

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Publications

Publications relevant to NDA data are listed below. Most displayed publications have been associated with the grant within Pubmed. Use the "+ New Publication" button to add new publications. Publications relevant/not relevant to data expected are categorized. Relevant publications are then linked to the underlying data by selecting the Create Study link. Study provides the ability to define cohorts, assign subjects, define outcome measures and lists the study type, data analysis and results. Analyzed data and results are expected in this way.

PubMed ID	Study	Title	Journal	Authors	Date	Status
40914754	Create Study	Consortium profile: the methylation, imaging and NeuroDevelopment (MIND) consortium.	Molecular psychiatry	Schuurmans, Isabel K; Mulder, Rosa H; Baltramonaityte, Vilte; Lahtinen, Alexandra; Qiuyu, Fan; Rothmann, Leonardo Melo; Staginnus, Marlene; Tuulari, Jetro J; Burt, S Alexandra; Buss, Claudia; Craig, Jeffrey M; Donald, Kirsten A; Eriksson, Johan G; Felix, Janine F; Freeman, Tom P; Grassi-Oliveira, Rodrigo; Huels, Anke; Hyde, Luke W; Jones, Scott A; Karlsson, Hasse; Karlsson, Linnea; Koen, Nastassja; Lawn, Will; Mitchell, Colter; Monk, Christopher S; Mooney, Michael A; Muetzel, Ryan; Nigg, Joel T; Belangero, Síntia Iole Nogueira; Notterman, Daniel; Ong, Yi Ying; O'Connor, Tom; O'Donnell, Kieran J; Pan, Pedro Mario; Paunio, Tiina; Ryabinin, Peter; Saffery, Richard; Salum, Giovanni A; Seal, Marc; Silk, Tim J; Stein, Dan J; Tan, Ai Peng; Teh, Ai Ling; Wang, Dennis; Zar, Heather; Walton, Esther; Cecil, Charlotte A M	September 6, 2025	Not Determined
39734588	Create Study	Applications of Deep Neural Networks with Fractal Structure and Attention Blocks for 2D and 3D Brain Tumor Segmentation.	Journal of statistical theory and practice	Cheng, Kaiming; Shen, Yueyang; Dinov, Ivo D	September 1, 2024	Not Determined
39541798	Create Study	Increasing diversity in neuroimaging research: Participant-driven recommendations from a qualitative study of an under-represented sample.	Developmental cognitive neuroscience	Wu, Kefan C; Hong, Sunghyun; Cross, Fernanda L; Sypher, Isaiah; McLoyd, Vonnie C; Huntley, Edward D; Hyde, Luke W; Mitchell, Colter; Monk, Christopher S	December 1, 2024	Not Determined
39512200	Create Study	Mother-child closeness and adolescent structural neural networks: a prospective longitudinal study of low-income families.	Social cognitive and affective neuroscience	Hong, Sunghyun H; Hardi, Felicia A; Tillem, Scott; Goetschius, Leigh G; Brooks-Gunn, Jeanne; McLoyd, Vonnie; Lopez-Duran, Nestor L; Mitchell, Colter; Hyde, Luke W; Monk, Christopher S	November 11, 2024	Not Determined
39359017	Create Study	Childhood adversity and adolescent mental health: Examining cumulative and specificity effects across contexts and developmental timing.	Development and psychopathology	Hardi, Felicia A; Peckins, Melissa K; Mitchell, Colter; McLoyd, Vonnie; Brooks-Gunn, Jeanne; Hyde, Luke W; Monk, Christopher S	October 1, 2025	Not Determined
39196556	Create Study	Latent Profiles of Childhood Adversity, Adolescent Mental Health, and Neural Network Connectivity.	JAMA network open	Hardi, Felicia A; Beltz, Adriene M; McLoyd, Vonnie; Brooks-Gunn, Jeanne; Huntley, Edward; Mitchell, Colter; Hyde, Luke W; Monk, Christopher S	August 1, 2024	Not Determined
38978656	Create Study	Consortium Profile: The Methylation, Imaging and NeuroDevelopment (MIND) Consortium.	medRxiv : the preprint server for health sciences	Schuurmans, Isabel K; Mulder, Rosa H; Baltramonaityte, Vilte; Lahtinen, Alexandra; Qiuyu, Fan; Rothmann, Leonardo Melo; Staginnus, Marlene; Tuulari, Jetro; Burt, S Alexandra; Buss, Claudia; Craig, Jeffrey M; Donald, Kirsten A; Felix, Janine F; Freeman, Tom P; Grassi-Oliveira, Rodrigo; Huels, Anke; Hyde, Luke W; Jones, Scott A; Karlsson, Hasse; Karlsson, Linnea; Koen, Nastassja; Lawn, Will; Mitchell, Colter; Monk, Christopher S; Mooney, Michael A; Muetzel, Ryan; Nigg, Joel T; Belangero, Síntia Iole Nogueira; Notterman, Daniel; O'Connor, Tom; O'Donnell, Kieran J; Pan, Pedro Mario; Paunio, Tiina; Ryabinin, Peter; Saffery, Richard; Salum, Giovanni A; Seal, Marc; Silk, Tim J; Stein, Dan J; Zar, Heather; Walton, Esther; Cecil, Charlotte A M	June 25, 2024	Not Determined
38141151	Create Study	Parent Mental Health Before and During the COVID-19 Pandemic.	Child psychiatry and human development	Suarez, Gabriela L; Boone, Montana H; Burt, S Alexandra; Shewark, Elizabeth A; Mitchell, Colter; Guzman, Paula; Lopez-Duran, Nestor L; Klump, Kelly L; Monk, Christopher S; Hyde, Luke W	December 23, 2023	Not Determined
37944209	Create Study	Relationship between COVID-related stressors and internalizing symptoms: Gendered neuroendocrine risk profiles.	Psychoneuroendocrinology	Guzman, Jose M; Boone, Montana H; Suarez, Gabriela L; Mitchell, Colter; Monk, Christopher S; Hyde, Luke W; Lopez-Duran, Nestor L	January 1, 2024	Not Determined
37483660	Create Study	Interactive Visualization and Computation of 2D and 3D Probability Distributions.	SN computer science	Bobrovnikov, Mark; Chai, Jared Tianyi; Dinov, Ivo D	July 1, 2022	Not Determined
37383727	Create Study	Classifying migraine using PET compressive big data analytics of brain''s μ-opioid and D2/D3 dopamine neurotransmission.	Frontiers in pharmacology	Marino, Simeone; Jassar, Hassan; Kim, Dajung J; Lim, Manyoel; Nascimento, Thiago D; Dinov, Ivo D; Koeppe, Robert A; DaSilva, Alexandre F	January 1, 2023	Not Determined
37355620	Create Study	Generalizable prediction of childhood ADHD symptoms from neurocognitive testing and youth characteristics.	Translational psychiatry	Weigard, Alexander; McCurry, Katherine L; Shapiro, Zvi; Martz, Meghan E; Angstadt, Mike; Heitzeg, Mary M; Dinov, Ivo D; Sripada, Chandra	June 24, 2023	Not Determined
37237644	Create Study	Machine Learning-Based Prediction of Mental Well-Being Using Health Behavior Data from University Students.	Bioengineering (Basel, Switzerland)	Abdul Rahman, Hanif; Kwicklis, Madeline; Ottom, Mohammad; Amornsriwatanakul, Areekul; H Abdul-Mumin, Khadizah; Rosenberg, Michael; Dinov, Ivo D	May 10, 2023	Not Determined
37182338	Create Study	Early childhood household instability, adolescent structural neural network architecture, and young adulthood depression: A 21-year longitudinal study.	Developmental cognitive neuroscience	Hardi, Felicia A; Goetschius, Leigh G; Tillem, Scott; McLoyd, Vonnie; Brooks-Gunn, Jeanne; Boone, Montana; Lopez-Duran, Nestor; Mitchell, Colter; Hyde, Luke W; Monk, Christopher S	June 1, 2023	Not Determined
37009525	Create Study	SOCRAT: a Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization.	Information (Basel)	Kalinin, Alexandr A; Palanimalai, Selvam; Zhu, Junqi; Wu, Wenyi; Devraj, Nikhil; Ye, Chunchun; Ponarul, Nellie; Husain, Syed S; Dinov, Ivo D	November 1, 2022	Not Determined
36872118	Create Study	Getting a Good Night''s Sleep: Associations Between Sleep Duration and Parent-Reported Sleep Quality on Default Mode Network Connectivity in Youth.	The Journal of adolescent health : official publication of the Society for Adolescent Medicine	Hehr, Aneesh; Huntley, Edward D; Marusak, Hilary A	June 1, 2023	Not Determined
36579796	Create Study	Adolescent functional network connectivity prospectively predicts adult anxiety symptoms related to perceived COVID-19 economic adversity.	Journal of child psychology and psychiatry, and allied disciplines	Hardi, Felicia A; Goetschius, Leigh G; McLoyd, Vonnie; Lopez-Duran, Nestor L; Mitchell, Colter; Hyde, Luke W; Beltz, Adriene M; Monk, Christopher S	June 1, 2023	Not Determined
36575854	Create Study	Brain structure and allelic associations in Alzheimer''s disease.	CNS neuroscience & therapeutics	Moon, Seok Woo; Zhao, Lu; Matloff, William; Hobel, Sam; Berger, Ryan; Kwon, Daehong; Kim, Jaebum; Toga, Arthur W; Dinov, Ivo D; Alzheimer's Disease Neuroimaging Initiative	April 1, 2023	Not Determined
36380246	Create Study	DataSifterText: Partially Synthetic Text Generation for Sensitive Clinical Notes.	Journal of medical systems	Zhou, Nina; Wu, Qiucheng; Wu, Zewen; Marino, Simeone; Dinov, Ivo D	November 16, 2022	Not Determined
36274750	Create Study	DataSifter II: Partially synthetic data sharing of sensitive information containing time-varying correlated observations.	Journal of algorithms & computational technology	Zhou, Nina; Wang, Lu; Marino, Simeone; Zhao, Yi; Dinov, Ivo D	January 1, 2022	Not Determined
36194042	Create Study	Transfusion-associated hyperkalemia in pediatric population: Analyses for risk factors and recommendations.	Transfusion	Yamada, Chisa; Edelson, Maureen F; Lee, Angela C; Saifee, Nabiha H; Dinov, Ivo D	December 1, 2022	Not Determined
36159725	Create Study	Determinism, well-posedness, and applications of the ultrahyperbolic wave equation in spacekime.	Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters	Wang, Yuxin; Shen, Yueyang; Deng, Daxuan; Dinov, Ivo D	June 1, 2022	Not Determined
35936508	Create Study	Kimesurface Representation and Tensor Linear Modeling of Longitudinal Data.	Neural computing & applications	Zhang, Rongqian; Zhang, Yupeng; Liu, Yuyao; Guo, Yunjie; Shen, Yueyang; Deng, Daxuan; Qiu, Yongkai Joshua; Dinov, Ivo D	April 1, 2022	Not Determined
35837024	Create Study	Deadly gun violence, neighborhood collective efficacy, and adolescent neurobehavioral outcomes.	PNAS nexus	Gard, Arianna M; Brooks-Gunn, Jeanne; McLanahan, Sara S; Mitchell, Colter; Monk, Christopher S; Hyde, Luke W	July 1, 2022	Not Determined
35774412	Create Study	Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.	IEEE journal of translational engineering in health and medicine	Ottom, Mohammad Ashraf; Rahman, Hanif Abdul; Dinov, Ivo D	January 1, 2022	Not Determined
35172913	Create Study	Antisocial behavior is associated with reduced frontoparietal activity to loss in a population-based sample of adolescents.	Psychological medicine	Murray, Laura; Lopez-Duran, Nestor L; Mitchell, Colter; Monk, Christopher S; Hyde, Luke W	June 1, 2023	Not Determined
35132403	Create Study	Prediction Modeling of Mental Well-Being Using Health Behavior Data of College Students.	Research square	Rahman, Hanif Abdul; Kwicklis, Madeline; Ottom, Mohammad; Amornsriwatanakul, Areekul; Abdul-Mumin, Khadizah H; Rosenberg, Michael; Dinov, Ivo D	February 4, 2022	Not Determined
35112726	Create Study	Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text.	Biometrical journal. Biometrische Zeitschrift	Zhou, Nina; Brook, Robert D; Dinov, Ivo D; Wang, Lu	April 1, 2022	Not Determined
34942644	Create Study	Differential Developmental Associations of Material Hardship Exposure and Adolescent Amygdala-Prefrontal Cortex White Matter Connectivity.	Journal of cognitive neuroscience	Hardi, Felicia A; Goetschius, Leigh G; Peckins, Melissa K; Brooks-Gunn, Jeanne; McLanahan, Sara S; McLoyd, Vonnie; Lopez-Duran, Nestor L; Mitchell, Colter; Hyde, Luke W; Monk, Christopher S	September 1, 2022	Not Determined
34779377	Create Study	School connectedness as a protective factor against childhood exposure to violence and social deprivation: A longitudinal study of adaptive and maladaptive outcomes.	Development and psychopathology	Goetschius, Leigh G; McLoyd, Vonnie C; Hein, Tyler C; Mitchell, Colter; Hyde, Luke W; Monk, Christopher S	August 1, 2023	Not Determined
34461876	Create Study	Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence.	BMC medical informatics and decision making	Anderson, Christine; Bekele, Zerihun; Qiu, Yongkai; Tschannen, Dana; Dinov, Ivo D	August 30, 2021	Not Determined
34152500	Create Study	Associations Between Parental Psychopathic Traits, Parenting, and Adolescent Callous-Unemotional Traits.	Research on child and adolescent psychopathology	Dotterer, Hailey L; Burt, S Alexandra; Klump, Kelly L; Hyde, Luke W	November 1, 2021	Not Determined
33909457	Create Study	Valproic acid-induced changes of 4D nuclear morphology in astrocyte cells.	Molecular biology of the cell	Kalinin, Alexandr A; Hou, Xinhai; Ade, Alex S; Fon, Gordon-Victor; Meixner, Walter; Higgins, Gerald A; Sexton, Jonathan Z; Wan, Xiang; Dinov, Ivo D; O'Meara, Matthew J; Athey, Brian D	August 19, 2021	Not Determined
33895785	Create Study	Phenotypic and genetic markers of psychopathology in a population-based sample of older adults.	Translational psychiatry	Gard, Arianna M; Ware, Erin B; Hyde, Luke W; Schmitz, Lauren L; Faul, Jessica; Mitchell, Colter	April 24, 2021	Not Determined
33382290	Create Study	An ecological approach to understanding the developing brain: Examples linking poverty, parenting, neighborhoods, and the brain.	The American psychologist	Hyde, Luke W; Gard, Arianna M; Tomlinson, Rachel C; Burt, S Alexandra; Mitchell, Colter; Monk, Christopher S	December 1, 2020	Not Determined
33070808	Create Study	Differential associations of parental harshness and parental disengagement with overall cortisol output at 15 years: Implications for adolescent mental health.	Development and psychopathology	Doom, Jenalee R; Peckins, Melissa K; Hein, Tyler C; Dotterer, Hailey L; Mitchell, Colter; Lopez-Duran, Nestor L; Brooks-Gunn, Jeanne; McLanahan, Sara; Hyde, Luke W; Abelson, James L; Monk, Christopher S	February 1, 2022	Not Determined
32857775	Create Study	Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets.	PloS one	Marino, Simeone; Zhao, Yi; Zhou, Nina; Zhou, Yiwang; Toga, Arthur W; Zhao, Lu; Jian, Yingsi; Yang, Yichen; Chen, Yehu; Wu, Qiucheng; Wild, Jessica; Cummings, Brandon; Dinov, Ivo D	January 1, 2020	Not Determined
32117857	Create Study	Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs.	Frontiers in public health	Dinov, Ivo D	January 1, 2020	Not Determined

helpcenter.collection.publications-tab

Collection - Publications

The number of Publications is displayed in parentheses next to the tab name. Clicking on any of the Publication Titles will open the Publication in a new internet browsing tab.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may mark a publication as either Relevant or Not Relevant in the Status column.

Frequently Asked Questions

How can I determine if a publication is relevant?

Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
Where does the NDA get the publications?

PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM).

Glossary

Create Study

A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
Not Determined Publication

Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
Not Relevant Publication

A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
PubMed

PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
PubMed ID

The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.
Relevant Publication

A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.

Contact NDA Help Desk

Data Expected List: Mandatory Data Structures

These data structures are mandatory for your NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

For NIMH HIV-related research that involves human research participants: Select the dictionary or dictionaries most appropriate for your research. If your research does not require all three data dictionaries, just ignore the ones you do not need. There is no need to delete extra data dictionaries from your NDA Collection. You can adjust the Targeted Enrollment column in the Data Expected tab to “0” for those unnecessary data dictionaries. At least one of the three data dictionaries must have a non-zero value.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Research Subject and Pedigree	606	01/15/2021	29	06/30/2025	29	Approved

To create your project's Data Expected list, use the "+New Data Expected" to add or request existing structures and to request new Data Structures that are not in the NDA Data Dictionary.

If the Structure you need already exists, locate it and specify your dates and enrollment when adding it to your Data Expected list. If you require changes to the Structure you need, select the indicator stating "No, it requires changes to meet research needs," and upload a file containing your requested changes.

If the structure you need is not yet defined in the Data Dictionary, you can select "Upload Definition" and attach the necessary materials to request its creation.

When selecting the expected dates for your data, make sure to follow the standard Data Sharing Regimen and choose dates within the date ranges that correspond to your project start and end dates.

Please visit the Completing Your Data Expected Tutorial for more information.

Data Expected List: Data Structures per Research Aims

These data structures are specific to your research aims and should list all data structures in which data will be collected and submitted for this NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Positive and Negative Affect Schedule	606	01/15/2021	29	06/30/2025	29	Approved
Childhood Trauma Questionnaire	606	01/15/2021	28	06/30/2025	28	Approved
Center for Epidemiologic Studies Depression Scale (CES-D)	606	01/15/2021	29	06/30/2025	29	Approved
Structured Clinical Interview for DSM (SCID)	606	01/15/2021	29	06/30/2025	0	Approved
Beck Depression Inventory	606	01/15/2021	29	06/30/2025	29	Approved
Effort-Expenditure for Reward Task	606	01/15/2021	62	06/30/2025	62	Approved
Conflict Tactics Scale	606	01/15/2021	14	06/30/2025	14	Approved
Imaging (Structural, fMRI, DTI, PET, microscopy)	606	01/15/2021	28	06/30/2025	28	Approved
Beck Anxiety Inventory	606	01/15/2021	28	06/30/2025	28	Approved
Iowa Gambling Task	606	01/15/2021	69	06/30/2025	69	Approved
Probabilistic Selection and Reversal Learning Task	606	01/15/2021	50	06/30/2025	50	Approved
Stress and Adversity Inventory	606	01/15/2021	28	06/30/2025	28	Approved

Structure not yet defined

No Status history for this Data Expected has been recorded yet

helpcenter.collection.data-expected-tab

Collection - Data Expected

The Data Expected tab displays the list of all data that NDA expects to receive in association with the Collection as defined by the contributing researcher, as well as the dates for the expected initial upload of the data, and when it is first expected to be shared, or with the research community. Above the primary table of Data Expected, any publications determined to be relevant to the data within the Collection are also displayed - members of the contributing research group can use these to define NDA Studies, connecting those papers to underlying data in NDA.

The tab is used both as a reference for those accessing shared data, providing information on what is expected and when it will be shared, and as the primary tracking mechanism for contributing projects. It is used by both contributing primary researchers, secondary researchers, and NIH Program and Grants Management staff.

Researchers who are starting their project need to update their Data Expected list to include all the Data Structures they are collecting under their grant and set their initial submission and sharing schedule according to the NDA Data Sharing Regimen.

To add existing Data Structures from the Data Dictionary, to request new Data Structure that are not in the Dictionary, or to request changes to existing Data Structures, click "+New Data Expected".

For step-by-step instructions on how to add existing Data Structures, request changes to an existing Structure, or request a new Data Structure, please visit the Completing Your Data Expected Tutorial.

If you are a contributing researcher creating this list for the first time, or making changes to the list as your project progress, please note the following:

Although items you add to the list and changes you make are displayed, they are not committed to the system until you Save the entire page using the "Save" button at the bottom of your screen. Please Save after every change to ensure none of your work is lost.
If you attempt to add a new structure, the title you provide must be unique - if another structure exists with the same name your change will fail.
Adding a new structure to this list is the only way to request the creation of a new Data Dictionary definition.

Frequently Asked Questions

What is an NDA Data Structure?

An NDA Data Structure is comprised of multiple Data Elements to make up an electronic definition of an assessment, measure, questionnaire, etc will have a corresponding Data Structure.
What is the NDA Data Dictionary?

The NDA Data Dictionary is comprised of electronic definitions known as Data Structures.

Glossary

Analyzed Data

Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
Data Item

Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
Data Structure

A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
Data Structure Category

An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
Data Structure Group

A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
Evaluated Data

A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
Imaging Data

Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
Initial Share Date

Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
Initial Submission Date

Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
Research Subject and Pedigree

An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
Submission Cycle

The NDA has two Submission Cycles per year - January 15 and July 15.
Submission Exemption

An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.

Contact NDA Help Desk

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Associated Studies

Studies that have been defined using data from a Collection are important criteria to determine the value of data shared. The number of subjects column displays the counts from this Collection that are included in a Study, out of the total number of subjects in that study. The Data Use column represents whether or not the study is a primary analysis of the data or a secondary analysis. State indicates whether the study is private or shared with the research community.

Study NameFilter by Study Name	DOIFilter by DOI	AbstractFilter by Abstract	Collection/Study SubjectsFilter by Collection/Study Subjects	Data UsageFilter by Data Usage	StateFilter by State
No records found.

helpcenter.collection.associated-studies-tab

Collection - Associated Studies

Clicking on the Study Title will open the study details in a new internet browser tab. The Abstract is available for viewing, providing the background explanation of the study, as provided by the Collection Owner.

Primary v. Secondary Analysis: The Data Usage column will have one of these two choices. An associated study that is listed as being used for Primary Analysis indicates at least some and potentially all of the data used was originally collected by the creator of the NDA Study. Secondary Analysis indicates the Study owner was not involved in the collection of data, and may be used as supporting data.

Private v. Shared State: Studies that remain private indicate the associated study is only available to users who are able to access the collection. A shared study is accessible to the general public.

Frequently Asked Questions

How do I associate a study to my collection?

Studies are associated to the Collection automatically when the data is defined in the Study.

Glossary

Associated Studies Tab

A tab in a Collection that lists the NDA Studies that have been created using data from that Collection including both Primary and Secondary Analysis NDA Studies.

Contact NDA Help Desk

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