NIMH Data Archive - Data

Genomics

Neuroimaging

Phenotype¹

New Trial
Clinical Trial

¹ Numbers reported are subjects by age

New Project
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

Add Supporting Documentation

Funding Source:
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.

Use/Modify Existing Data Structure

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The Data Expected list for this Collection shows some raw data as missing. Contact the NDA Help Desk with any questions.

Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.

Collection Updated

Your Collection is now in Data Analysis phase and exempt from biannual submissions. Analyzed data is still expected prior to publication or no later than the project end date.

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[CMS]

Unable to change collection phase where targeted enrollment is less than 90%

You have requested to move the sharing dates for the following assessments:

Data Expected Item	Original Sharing Date	New Sharing Date

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Improving Depression Outcome by Enhancing Memory for Cognitive Therapy #2396

General
Experiments (0)
Shared Data
Publications (14)
Data Expected (16)
Associated Studies (1)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Improving Depression Outcome by Enhancing Memory for Cognitive Therapy
Collection Investigators:	Allison Harvey
Collection Description:	Progress toward developing effective interventions for mental disorders must include the identification of novel intervention targets that are safe, powerful, inexpensive and deployable. Our focus is on one such target patient memory for the contents of treatment. This target was selected because 1 patient memory for treatment is poor, 2 poor memory for treatment is associated poorer adherence and poorer outcome, 3 the impact of memory impairment can be minimized by the use of memory support strategies and 4 improved memory for treatment improves outcome. In this proposal we build on an NIMH-funded R34, the results of which provide a preliminary demonstration that the novel target has been engaged and validated. Specifically, we developed and pilot tested an adjunctive intervention the Memory Support Intervention to improve patient memory for treatment. The intervention was distilled from the basic, non-patient research in cognitive science and education and is comprised of eight powerful memory promoting strategies that are proactively, strategically, and intensively integrated into treatment-as-usual. The aim of this proposal is to conduct a confirmatory efficacy trial to test whether the Memory Support Intervention improves illness course and functional outcomes. As a platform for the next step in investigating this approach, we focus on major depressive disorder MDD and cognitive therapy CT. The rationale is that 1 MDD is prevalent 2 there is a need to improve treatment for MDD 3 CT for MDD is well articulated, there is promising evidence for efficacy, yet there is room for improvement 4 memory for treatment is poor in MDD 5 poorer memory in MDD is modifiable and 6 promising data from the R34 suggests that adding memory support to CT improves outcome, with a specific indication of longer-term benefit among individuals with less than 16 years of education. Over a four-year period, adults with MDD n 178, including 20 percent for potential attrition will be randomly allocated to CTMemory Support or CT-as-usual and they will be assessed at baseline, post-treatment, and at 6 and 12 months follow-up. We will compare the effects of CTMemory Support vs. CT-as-usual to determine if the new intervention improves the course of illness and reduces functional impairment Aim 1. We will determine if patient memory for treatment the target mediates the relationship between treatment condition and outcome Aim 2. We will evaluate if previously reported poor treatment response subgroups moderate target engagement Aim 3. This research has the potential to enhance outcomes across a broad range of interventions. Consultants with expertise in community-based treatment and doctor-patient communication will assist the team to begin to develop the broader applications. This research will contribute knowledge to RDoC as a cross-diagnostic construct related to the Cognitive Systems RDoC domain poor memory for treatment is the intervention target. Also, declarative memory and working memory, which are constructs within the Cognitive Systems RDoC domain, will be measured.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	07/15/2016
NIH Research Initiative:	Clinical Trials for Mental Disorders (CTMD)
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	Yes
Total Funded Amount:	$2,261,874.00
Subjects Shared:	251
Collection DOI:	10.15154/w0qr-d252

{"values":[]}

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Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

File Name	File Type	Description	Audience
QA-notification.txt	Other	Quality Assurance Notification	Qualified Researchers

Grant Information:

Project Number	Title	Start Date	Original End Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
R01MH108657-01	Improving Depression Outcome by Enhancing Memory for Cognitive Therapy	07/01/2016	04/30/2020	04/30/2020	178	178	UNIVERSITY OF CALIFORNIA BERKELEY	$2,261,874.00

Clinical Trials:

Brief Summary	Status	Clinical Trial ID	Study ID	Principal Investigator	Start Date	End Date
Existing drug and talking therapies for major depressive disorder (MDD) fail to produce complete recovery. This study will determine if substantial improvements to one of the most promising therapies, cognitive therapy (CT), can be achieved by administering a carefully designed procedure to improve memory for the content of CT sessions. This is important because (a) memory deficits are common in MDD patients and (b) each CT therapy session typically covers a complex array of topics and various skills are taught.	Completed	NCT01790919	R34MH094535-01A1		February 2013	March 2015

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
Cognitive Generalization Task	Clinical Assessments	177
Competencies of Cognitive Therapy Scale	Clinical Assessments	163
Expectancy Rating Questionnaire (ERQ)	Clinical Assessments	175
FaceName Task	Clinical Assessments	176
Healthy Days Core Module	Clinical Assessments	178
Inventory of Depressive Symptomatology	Clinical Assessments	51
Memory Support Rating Scale	Clinical Assessments	51
N-Back Task	Clinical Assessments	178
National Adult Reading Test	Clinical Assessments	178
Quick Inventory of Depressive Symptomatology	Clinical Assessments	138
Research Subject	Clinical Assessments	170
SCID V Clinical Diagnoses	Clinical Assessments	178
Therapy Adherence Rating Scale	Clinical Assessments	138
Treatment Provider Rated Checklist of Memory Support	Clinical Assessments	86
Usefulness and Utilization Questionnaire	Clinical Assessments	174
WHO Disability Assessment Schedule	Clinical Assessments	178

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
41955881	Create Study	Therapist memory for treatment contents: Implications for patient outcomes.	Behaviour research and therapy	Callaway, Catherine A; Milner, Anne E; Zieve, Garret G; Ashlock, Leighann; Harvey, Allison G	June 1, 2026	Not Determined
37879246	Create Study	Cognitive Therapy-as-Usual versus Cognitive Therapy plus the Memory Support Intervention for adults with depression: 12-month outcomes and opportunities for improved efficacy in a secondary analysis of a randomized controlled trial.	Behaviour research and therapy	Zieve, Garret G; Sarfan, Laurel D; Dong, Lu; Tiab, Sondra S; Tran, Melanie; Harvey, Allison G	November 1, 2023	Not Determined
37210887	Create Study	Optimizing outcomes, mechanisms, and recall of Cognitive Therapy for depression: Dose of constructive memory support strategies.	Behaviour research and therapy	Sarfan, Laurel D; Zieve, Garret; Gumport, Nicole B; Xiong, Mo; Harvey, Allison G	July 1, 2023	Not Determined
36608972	Create Study	Serial Mediators of Memory Support Strategies Used With Cognitive Therapy for Depression: Improving Outcomes Through Patient Adherence and Treatment Skills.	Behavior therapy	Sarfan, Laurel D; Zieve, Garret G; Mujir, Firdows; Gumport, Nicole B; Xiong, Mo; Harvey, Allison G	January 1, 2023	Not Determined
35963181	Create Study	Can integrating the Memory Support Intervention into cognitive therapy improve depression outcome? A randomized controlled trial.	Behaviour research and therapy	Dong, Lu; Zieve, Garret; Gumport, Nicole B; Armstrong, Courtney C; Alvarado-Martinez, Cynthia G; Martinez, Armando; Howlett, Shayna; Fine, Eve; Tran, Melanie; McNamara, Mary E; Weaver, Claire; Tuck, Alison B; Hilmoe, Heather E; Agnew, Emma; Fisher, Krista; Diaz, Marlen; Lee, Jason Y; Hollon, Steven D; Notsu, Haruka; Harvey, Allison G	October 2022	Relevant
34561774	Create Study	Barriers and Facilitators to Behavior Change for Individuals with Severe Mental Illness who Received the Transdiagnostic Intervention for Sleep and Circadian Dysfunction in a Community Mental Health Setting.	The journal of behavioral health services & research	Armstrong, Courtney C; Aguilera, Adrian; Hwang, Janet; Harvey, Allison G	April 1, 2022	Relevant
34134832	Create Study	The Development and Validation of the Memory Support Treatment Provider Checklist.	Behavior therapy	Gumport, Nicole B; Zieve, Garret G; Dong, Lu; Harvey, Allison G	July 1, 2021	Relevant
32459987	Create Study	Client memory and learning of treatment contents: An experimental study of intervention strategies and relationship to outcome in a brief treatment for procrastination.	Journal of behavior therapy and experimental psychiatry	Zieve, Garret G; Woodworth, Cara; Harvey, Allison G	December 2020	Not Determined
31733608	Create Study	Establishing the dose of memory support to improve patient memory for treatment and treatment outcome.	Journal of behavior therapy and experimental psychiatry	Lee, Jason Y; Dong, Lu; Gumport, Nicole B; Harvey, Allison G	September 1, 2020	Not Determined
29137655	Create Study	Can integrating the Memory Support Intervention into cognitive therapy improve depression outcome? Study protocol for a randomized controlled trial.	Trials	Harvey AG, Dong L, Lee JY, Gumport NB, Hollon SD, Rabe-Hesketh S, Hein K, Haman K, Mcnamara ME, Weaver C, Martinez A, Notsu H, Zieve G, Armstrong CC	November 2017	Relevant
28869825	Create Study	Patient learning of treatment contents in cognitive therapy.	Journal of behavior therapy and experimental psychiatry	Gumport NB, Dong L, Lee JY, Harvey AG	August 2017	Not Relevant
28822879	Create Study	Patient recall of specific cognitive therapy contents predicts adherence and outcome in adults with major depressive disorder.	Behaviour research and therapy	Dong L, Zhao X, Ong SL, Harvey AG	August 2017	Not Relevant
28221056	Create Study	Memory support strategies and bundles: A pathway to improving cognitive therapy for depression?	Journal of consulting and clinical psychology	Dong L, Lee JY, Harvey AG	March 2017	Not Relevant
27614662	Create Study	Do improved patient recall and the provision of memory support enhance treatment adherence?	Journal of behavior therapy and experimental psychiatry	Dong, Lu; Lee, Jason Y; Harvey, Allison G	March 2017	Not Relevant

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	178	01/15/2018	170	07/15/2021	170	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
Quality of Life Assessment	178	01/15/2018	178	07/15/2021	178	Approved
Structured Clinical Interview for DSM (SCID)	178	01/15/2018	178	07/15/2021	178	Approved
Expectancy Rating Questionnaire (ERQ)	178	01/15/2018	175	07/15/2021	175	Approved
WHO Disability Assessment Schedule	178	01/15/2018	178	07/15/2021	178	Approved
Quick Inventory of Depressive Symptomatology	178	01/15/2018	138	07/15/2021	138	Approved
Inventory of Depressive Symptomatology	178	01/15/2018	51	07/15/2021	51	Approved
National Adult Reading Test	178	01/15/2018	178	07/15/2021	178	Approved
Competencies of Cognitive Therapy Scale	178	01/15/2018	163	07/15/2021	163	Approved
FaceName Task	178	01/15/2018	176	07/15/2021	176	Approved
NBack	178	01/15/2018	178	07/15/2021	178	Approved
Usefulness and Utilization Questionnaire	178	01/15/2018	174	07/15/2021	174	Approved
Treatment Provider Rated Checklist of Memory Support	87	01/15/2018	86	07/15/2021	86	Approved
Therapy Adherence Rating Scale	178	01/15/2018	138	07/15/2021	138	Approved
Memory Support Rating Scale	178	01/15/2018	51	07/15/2021	51	Approved
Cognitive Generalization Task	178	01/15/2018	177	07/15/2021	177	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
Consistent differential effects of bupropion and mirtazapine in major depression	10.15154/qzg7-n302	Background: Patients with major depression exhibit heterogeneous symptom profiles and variable responses to antidepressants. Most clinical trials rely on aggregate outcomes such as total symptom severity or remission rates, which often obscure meaningful differences in treatment response. Methods: We applied the Supervised Varimax (SV) algorithm to identify outcome dimensions that maximally differentiate antidepressants based on symptom-level effects. We analyzed all relevant levels of the STARD trial and validated findings in the independent CO-MED study. We assessed statistical significance using permutation testing with familywise error rate (FWER) correction. Results: SV consistently identified interpretable and statistically significant differences between bupropion, mirtazapine, and other antidepressants. In STARD, bupropion monotherapy produced greater improvement in hypersomnia than venlafaxine in Levels 2 and 2A (n=686, difference = 0.384, p_{FWER}=0.007). Bupropion augmentation outperformed buspirone augmentation for increased weight, increased appetite, and fatigue in Level 2 (n=520, difference = -0.322, p_{FWER}=0.005). Mirtazapine monotherapy outperformed nortriptyline for insomnia, decreased weight, and decreased appetite in Level 3 (n=214, difference = 0.401, p_{FWER}=0.022), and venlafaxine with mirtazapine similarly outperformed tranylcypromine in Level 4 (n=102, difference = -0.722, p_{FWER}=0.004). In CO-MED, escitalopram with bupropion and venlafaxine with mirtazapine demonstrated complementary symptom-specific benefits (n=640, difference = -0.302, p_{FWER}=0.022). Conclusion: Bupropion is most effective for hypersomnia, increased weight, increased appetite, or fatigue, while mirtazapine is preferable for insomnia, decreased weight, or decreased appetite. SV enables statistically rigorous, symptom-level differentiation using only treatment assignment, offering a scalable and clinically aligned framework for guiding antidepressant selection from individual clinical trials.	62/82	Secondary Analysis	Shared

* Data not on individual level

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.

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