NIMH Data Archive - Data

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¹ Numbers reported are subjects by age

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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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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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Emergency Department Safety Assessment and Follow-Up Evaluation (EDSAFE) Trial #2191

General
Experiments (0)
Shared Data
Publications (32)
Data Expected (5)
Associated Studies (2)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Emergency Department Safety Assessment and Follow-Up Evaluation (EDSAFE) Trial
Collection Investigators:	Edwin Boudreaux
Collection Description:	The NIMH's RFA-Suicide Prevention in Emergency Medicine Departments recognizes the emergency department (ED) as an important setting to increase suicide detection and prevention efforts but observes that evidence-based practice guidelines do not exist. In response, we have designed the ED Safety Assessment and Follow-up Evaluation (EDSAFE) trial. Two inter-related studies will be conducted using a quasi-experimental design appropriate for studying systems-based change. The studies will share three phases of data collection: Treatment as Usual, Screening Alone, and Intervention. During each phase, 472 suicidal patients (1,416 total) will be enrolled and followed using multiple methods for 12 months. The first study, the Screening Outcome Study, will use data collected during the first two phases (Treatment as Usual and Screening Alone). Primarily, it will focus on testing a practical approach to screen ED patients for suicidal ideation and behavior and will assess its impact on suicide detection, process outcomes, and suicide behaviors. The second study, the Care-chain Evaluation Study, will use data collected during the last two phases (Screening Alone and Intervention). Primarily, it will evaluate the impact of a multi-component intervention on suicide outcomes. The intervention blends conceptual underpinnings from screening, brief intervention, and referral to treatment (SBIRT) models for health behaviors with empirically grounded strategies for suicide prevention. It will involve (1) Question, Refer, Persuade counseling provided by the treating nurse, (2) incorporation of a Comprehensive Suicide Management Protocol into clinical practice, and (3) post-discharge telephone counseling. Our overarching hypotheses will be tested using a combination of both studies. We predict that screening will improve detection of suicidal ideation, and the intervention will enhance the quality of care and reduce suicide outcomes. Our studies offer the following innovations and strengths: (1) inclusion of eight general medical EDs representative of broad geographic regions, patient demographics, and catchment areas (i.e., urban, suburban, rural); (2) use of the EMNet, which was awarded a best practice designation by the NIH-funded Inventory and Evaluation of Clinical Research Networks (IECRN); (3) a structured intervention that is empirically based, practical, and flexible enough to accommodate a full spectrum of suicidal ideation and behavior; (4) stratification of the sample and planned analyses to examine whether the intervention?s effectiveness differs based upon baseline suicide risk; (5) a multi-method outcome attainment strategy; and, (6) a multi-component evaluation that will help determine effectiveness, feasibility, and sustainability. PUBLIC HEALTH RELEVANCE: Public Health Relevance: The lack of implementation of screening and brief interventions for suicidal ideation in the ED setting is a significant problem with far-reaching consequences, including excess morbidity and premature mortality. Our study focuses on examining the effectiveness, feasibility, and sustainability of a multi-component screening and intervention for suicide within general ED settings. Our study should hold important implications for a variety of stakeholders, including patients, family members, healthcare providers, financial managers, health insurers, administrators, and policy makers.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	04/30/2015
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$4,543,383.00
Subjects Shared:	243,645
Collection DOI:	10.15154/wrp2-mq67

{"values":[]}

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Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

File Name	File Type	Description	Audience
ED-SAFE-1_Database_Descriptions.doc	Other	Description of Assessments	General Public

Grant Information:

Project Number	Title	Start Date	Original End Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
U01MH088278-01	Emergency Department Safety Assessment and Follow-Up Evaluation (EDSAFE) Trial	09/30/2009	05/31/2014	05/31/2014	1416	1114	UNIV OF MASSACHUSETTS MED SCH WORCESTER	$4,543,383.00

Clinical Trials:

Brief Summary	Status	Clinical Trial ID	Study ID	Principal Investigator	Start Date	End Date
The NIMH s RFA-Suicide Prevention in Emergency Medicine Departments recognizes the emergency department (ED) as an important setting to increase suicide detection and prevention efforts but observes that evidence-based practice guidelines do not exist. In response, we have designed the Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE) trial. The ED-SAFE study will be conducted using a quasi-experimental design appropriate for studying systems-based change. The study consists of two components (Screening Outcome & Intervention Evaluation) and three phases of data collection: Treatment as Usual, Screening Alone, and Intervention. During each phase, 480 suicidal patients (1,440 total) will be enrolled and followed using multiple methods for 12 months. The Screening Outcome Component The Screening Outcome component will use data collected during the Treatment as Usual and Screening Alone phases. Consistent with systems-change principles, when universal screening is incorporated during the Screening Alone phase, it will be completed by the primary nurse as part of routine care. Primarily, it will focus on testing a practical approach to screen ED patients for suicidal ideation and behavior and will assess its impact on suicide detection, process outcomes, and suicide behaviors. Intervention Evaluation Component The Intervention Evaluation component will use data from the Treatment as Usual, Screening Alone, and Intervention Phases. During the Intervention phase, each ED will implement a multi-component, systems-based Intervention called the Safety Assessment and Follow-up Telephone Intervention (SAFTI). The SAFTI will combine elements of: (a) safety planning administered by nursing staff in the ED, and (b) Coping Long Term with Active Suicide Program (CLASP)-ED, a series of up to 7 semi-structured telephone advising calls to the patient and 4 to the significant other over the 12 months after the ED visit. Safety planning will be implemented universally to all suicidal patients, regardless of whether they are ultimately enrolled into the trial, as part of a comprehensive suicide management protocol (e.g., it is a systems-based change). However, for practical and budgetary considerations, the CLASP-ED telephone advising calls will be administered only to participants enrolled into the study. Our overarching hypotheses will be tested using a combination of the Screening Outcome component and the Intervention Evaluation Component. We predict that screening will improve detection of suicidal ideation, and the intervention will enhance the quality of care and reduce suicide outcomes.	Completed	NCT01150994	13420	Edwin Boudreaux, PhD	July 2010	November 2018

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
Fidelity Assessment	Clinical Assessments	1196
KAPS-Provider Survey	Clinical Assessments	1883
Omnibus	Clinical Assessments	3775
Research Subject	Clinical Assessments	242860
Screening Log	Clinical Assessments	236791

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
41913718	Create Study	Suicidal Behavior Patterns and Correlates in High-Risk Adults After Emergency Department Discharge: A One-Year Prospective Study.	Suicide & life-threatening behavior	Rabasco, Ana; Browne, Julia; Kunicki, Zachary; Benz, Madeline B; Arias, Sarah A; Weinstock, Lauren M; Miller, Ivan; Boudreaux, Edwin; Camargo Jr, Carlos A; Gaudiano, Brandon A	April 1, 2026	Not Determined
41905117	Create Study	Who''s getting care? Acute treatment utilization following an emergency department visit among adults with major psychiatric disorders and suicidal thoughts and behaviors.	Journal of psychiatric research	Rabasco, Ana; Choi, Jihoon; Ladis, Ilana; Arias, Sarah A; Weinstock, Lauren M; Miller, Ivan; Boudreaux, Edwin D; Camargo, Carlos A; Gaudiano, Brandon A	July 1, 2026	Not Determined
41092868	Create Study	Characteristics differentiating near-term multiple, distal multiple, and single suicide attempters during the 12-months post-discharge from the emergency department.	Journal of psychiatric research	Knorr, Anne C; Wallace, Gemma T; Schatten, Heather T; Prince, Mark A; Boudreaux, Edwin D; Miller, Ivan W; Camargo Jr, Carlos A; Conner, Bradley T; Arias, Sarah A	November 1, 2025	Not Determined
39305066	Create Study	Means to an end: Characteristics and follow-up of emergency department patients with a history of suicide attempt via medication overdose.	Academic emergency medicine : official journal of the Society for Academic Emergency Medicine	Benz, Madeline B; Rafferty, Neil S; Arias, Sarah A; Rabasco, Ana; Miller, Ivan; Weinstock, Lauren M; Boudreaux, Edwin D; Camargo Jr, Carlos A; Gaudiano, Brandon A	February 1, 2025	Not Determined
38065475	Create Study	Longitudinal risk of suicide outcomes in people with severe mental illness following an emergency department visit and the effects of suicide prevention treatment.	Journal of affective disorders	Rabasco, Ana; Arias, Sarah; Benz, Madeline B; Weinstock, Lauren M; Miller, Ivan; Boudreaux, Edwin D; Camargo Jr, Carlos A; Kunicki, Zachary J; Gaudiano, Brandon A	February 15, 2024	Not Determined
32706437	Create Study	C-SSRS performance in emergency department patients at high risk for suicide.	Suicide & life-threatening behavior	Brown, Lily A; Boudreaux, Edwin D; Arias, Sarah A; Miller, Ivan W; May, Alexis M; Camargo Jr, Carlos A; Bryan, Craig J; Armey, Michael F	December 2020	Not Determined
32417230	Create Study	Validation of a Secondary Screener for Suicide Risk: Results from the Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE).	Joint Commission journal on quality and patient safety	Boudreaux, Edwin D; Larkin, Celine; Camargo Jr, Carlos A; Miller, Ivan W	June 2020	Not Determined
31451063	Create Study	Screening and Intervention for Suicide Prevention: A Cost-Effectiveness Analysis of the ED-SAFE Interventions.	Psychiatric services (Washington, D.C.)	Dunlap, Laura J; Orme, Stephen; Zarkin, Gary A; Arias, Sarah A; Miller, Ivan W; Camargo Jr, Carlos A; Sullivan, Ashley F; Allen, Michael H; Goldstein, Amy B; Manton, Anne P; Clark, Robin; Boudreaux, Edwin D	December 2019	Not Determined
31278625	Create Study	Higher Educational Attainment is Associated with Lower Risk of a Future Suicide Attempt Among Non-Hispanic Whites but not Non-Hispanic Blacks.	Journal of racial and ethnic health disparities	Assari, Shervin; Schatten, Heather T; Arias, Sarah A; Miller, Ivan W; Camargo, Carlos A; Boudreaux, Edwin D	October 2019	Not Determined
30080084	Create Study	Predictive utility of an emergency department decision support tool in patients with active suicidal ideation.	Psychological services	Boudreaux, Edwin D; Larkin, Celine; Kini, Nisha; Capoccia, Lisa; Allen, Michael H; Goldstein Grumet, Julie; Silverman, Morton M; McKeon, Richard; Barton, Bruce; Miller, Ivan; Formica, Scott W; Camargo, Carlos A	August 2018	Not Determined
29791300	Create Study	Which Chart Elements Accurately Identify Emergency Department Visits for Suicidal Ideation or Behavior?	Archives of suicide research : official journal of the International Academy for Suicide Research	Arias, Sarah A; Boudreaux, Edwin D; Chen, Elizabeth; Miller, Ivan; Camargo Jr, Carlos A; Jones, Richard N; Uebelacker, Lisa	January 2019	Not Determined
28752539	Create Study	Disparities in Treatment of Older Adults with Suicide Risk in the Emergency Department.	Journal of the American Geriatrics Society	Arias, Sarah A; Boudreaux, Edwin D; Segal, Daniel L; Miller, Ivan; Camargo Jr, Carlos A; Betz, Marian E	October 2017	Not Determined
28506957	Create Study	Computer Administered Safety Planning for Individuals at Risk for Suicide: Development and Usability Testing.	Journal of medical Internet research	Boudreaux, Edwin D; Brown, Gregory K; Stanley, Barbara; Sadasivam, Rajani S; Camargo Jr, Carlos A; Miller, Ivan W	May 2017	Not Determined
28456130	Create Study	Suicide Prevention in an Emergency Department Population: The ED-SAFE Study.	JAMA psychiatry	Miller, Ivan W; Camargo Jr, Carlos A; Arias, Sarah A; Sullivan, Ashley F; Allen, Michael H; Goldstein, Amy B; Manton, Anne P; Espinola, Janice A; Jones, Richard; Hasegawa, Kohei; Boudreaux, Edwin D; ED-SAFE Investigators	June 2017	Not Determined
27596110	Create Study	Screening for Suicidal Thoughts and Behaviors in Older Adults in the Emergency Department.	Journal of the American Geriatrics Society	Betz ME, Arias SA, Segal DL, Miller I, Camargo CA, Boudreaux ED	September 2016	Not Determined
27040130	Create Study	Substance Use as a Mediator of the Association Between Demographics, Suicide Attempt History, and Future Suicide Attempts in Emergency Department Patients.	Crisis	Arias, Sarah A; Dumas, Orianne; Sullivan, Ashley F; Boudreaux, Edwin D; Miller, Ivan; Camargo Jr, Carlos A	September 1, 2016	Not Determined
26989850	Create Study	LETHAL MEANS ACCESS AND ASSESSMENT AMONG SUICIDAL EMERGENCY DEPARTMENT PATIENTS.	Depression and anxiety	Betz ME, Miller M, Barber C, Beaty B, Miller I, Camargo CA, Boudreaux ED	June 2016	Not Determined
26654691	Create Study	Improving Suicide Risk Screening and Detection in the Emergency Department.	American journal of preventive medicine	Boudreaux, Edwin D; Camargo Jr, Carlos A; Arias, Sarah A; Sullivan, Ashley F; Allen, Michael H; Goldstein, Amy B; Manton, Anne P; Espinola, Janice A; Miller, Ivan W	April 1, 2016	Not Determined
26620285	Create Study	Factors Associated With Suicide Outcomes 12 Months After Screening Positive for Suicide Risk in the Emergency Department.	Psychiatric services (Washington, D.C.)	Arias SA, Miller I, Camargo CA, Sullivan AF, Goldstein AB, Allen MH, Manton AP, Boudreaux ED	February 2016	Not Determined
26341724	Create Study	Implementation and use of a crisis hotline during the treatment as usual and universal screening phases of a suicide intervention study.	Contemporary clinical trials	Arias, Sarah A; Sullivan, Ashley F; Miller, Ivan; Camargo Jr, Carlos A; Boudreaux, Edwin D	November 2015	Not Determined
26135816	Create Study	Executive function and suicidality: A systematic qualitative review.	Clinical psychology review	Bredemeier, Keith; Miller, Ivan W	August 2015	Not Determined
25726978	Create Study	Change in emergency department providers'' beliefs and practices after use of new protocols for suicidal patients.	Psychiatric services (Washington, D.C.)	Betz, Marian E; Arias, Sarah A; Miller, Matthew; Barber, Catherine; Espinola, Janice A; Sullivan, Ashley F; Manton, Anne P; Miller, Ivan; Camargo Jr, Carlos A; Boudreaux, Edwin D	June 2015	Not Determined
24588679	Create Study	Using structured telephone follow-up assessments to improve suicide-related adverse event detection.	Suicide & life-threatening behavior	Arias SA, Zhang Z, Hillerns C, Sullivan AF, Boudreaux ED, Miller I, Camargo CA	October 2014	Not Determined
24033624	Create Study	Evaluating current patterns of assessment for self-harm in emergency departments: a multicenter study.	Academic emergency medicine : official journal of the Society for Academic Emergency Medicine	Caterino JM, Sullivan AF, Betz ME, Espinola JA, Miller I, Camargo CA, Boudreaux ED, Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE) Investigators	August 2013	Not Determined
23772739	Create Study	Unexpected suicidality in an older individual in an emergency department.	Journal of the American Geriatrics Society	Betz, Marian E; Schwartz, Robert; Boudreaux, Edwin D	June 2013	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	100	01/15/2016	242,860	05/15/2016	242,860	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
Screening Log	100	01/15/2016	236,791	05/15/2016	236,791	Approved
Omnibus	100	01/15/2016	3,775	05/15/2016	3,775	Approved
Fidelity Assessment	100	01/16/2016	1,196	05/15/2016	1,196	Approved
KAPS-Provider Survey	100	01/15/2016	1,883	05/15/2016	1,883	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
Improving Power of the Win Ratio Analysis through Distance-based Weights	10.15154/etdm-g684	The win ratio method, used to analyze composite endpoints in clinical trials, has gained substantial popularity in recent years because of its ability to prioritize components of the composite outcome. Despite gaining popularity and being extended to solve some of its issues, little work has been done to incorporate covariate information into the win ratio. In this article, we extend the win ratio method by incorporating weights to each win or loss based on the distance between the compared pair using their covariate values. This approach aims to improve the power of the original win ratio when the covariates used for computing the weights are associated with the components of the composite outcome. Through detailed simulation studies and real data analyses, we demonstrate the utility of our proposed method. In general, our simulation studies indicate that the proposed method is more powerful when covariates used to calculate the weights are associated with the outcomes, and it performs similarly to the original method when there is no such association.	3775/3775	Secondary Analysis	Shared
Use of the Win Ratio for Suicide Prevention Research	10.15154/br6x-5h65	Objective. The Win Ratio (WR) is a novel approach to analyze composite outcomes that accounts for the relative priority of each outcome. In this study, we evaluated use of the WR for composite outcomes in suicide prevention studies to overcome challenges associated with low base rates of primary outcomes. Method. We illustrate the utility of the WR in suicide prevention studies through two re-analyses: 1) data from the Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE) trial, and 2) Medicaid claims data comparing youths with concussions to those with orthopedic injuries. Power of the WR is illustrated through simulations. Results. In the ED-SAFE trial, using ordered outcomes of suicide death, suicide attempt, interrupted attempt, aborted attempt, and preparatory acts, the active intervention had a WR of 1.26 (95% CI: 1.04–1.53, p = 0.018) compared to treatment as usual. For the Medicaid data, using a matched sample of 42,313 youths we found that youths with orthopedic injuries had a WR of 1.11, 95% CI (1.08, 1.14), p < 0.001 relative to concussed youths for the ordered outcomes of suicide; deliberate self-harm / suicide attempt; psychosis, externalizing, or internalizing disorders; migraines or sleep problems; and post-baseline concussions. Both results are consistent with the originally published findings. Conclusions. The Win Ratio offers a robust analytic approach to account for multiple outcomes that preserves the clinical hierarchy of events. By addressing challenges related to low event rates, the WR can enhance study efficiency and interpretability, supporting its broader use in suicide prevention research.	3775/3775	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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