NDA Help Center

Login Dialog

Frequently Asked Questions


NDA Help Center

Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR"  when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters). Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects. 

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access.  Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA).  Without access, you will not be able to obtain individual-level data. 

    Once you have selected data of interest you can:
  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release. 
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected.  Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the fliter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

    Please Note:
  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time. 
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures. 
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.

Frequently Asked Questions

  • The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned.  Adding multiple filters to the cart, regardless of type, will AND the result of each filter.  If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in  BOTH 1 AND 2.

  • Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.

  • After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.


  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace. 


Reset Password

NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

Update Password

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

  • Uppercase
  • Lowercase
  • Numbers
  • Special Characters limited to: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the NIMH Data Archive (NDA) web site to go to:

Click on the address above if the page does not change within 10 seconds.


NDA is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
Filter Cart
No filters selected
Value Range
Data Structures with shared data
No filters have been selected
Switch User

Health Review Checklist

0 Shared Subjects

Clinical Assessments
Med History
View Change History
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month.
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
se_a1 Integer Recommended 1. Current health complaints
1;2; -9
1 = Yes; 2 = No; -9 =unknown a_complaints
b_injuries Integer Recommended Has your child had any recent injuries or illnesses 0;1 0= No; 1= Yes
aer003 Integer Recommended Recently seen a doctor or medical professional for any reason? 0;1; -9 0=No; 1=Yes; -9=unknown c_doctor
d_new_tx Integer Recommended Has your child started any new treatments 0;1 0= No; 1= Yes
e_new_meds Integer Recommended Is your child taking any new medications (over the counter or prescription) 0;1 0= No; 1= Yes
aesa11 Integer Recommended Insomnia: Have you had any problems with falling asleep, staying asleep, or waking up too early? (Severe = sleep time disrupted more than 3 hours most nights). 0;1;2;3 Absent=0; Mild=1; Moderate=2; Severe=3 q1_diff_sleep
q2_tired Integer Recommended Tired during the day, wants to nap, sleepy 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
se_q03 Integer Recommended Increased difficulty waking up 0::3 0=Absent; 1=Mild; 2=Moderate; 3=Severe; q3_diff_wake
caei8 Integer Recommended Constipation 0::3 0=None; 1=Low level; 2=Medium level; 3=High level q4_constipation
q5_diarrhea Integer Recommended Diarrhea/loose stools 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q6_nausea Integer Recommended Nausea or vomiting 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q7_no_appetite Integer Recommended Deficient appetite 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q8_excess_appetite Integer Recommended Excessive appetite 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
se_q24 Integer Recommended Coughing 0::3 0=Absent; 1=Mild; 2=Moderate; 3=Severe; q9_coughing
se_q27 Integer Recommended Skin rash 0::3; -9 0=Absent, 1=Mild, 2=Moderate, 3=Severe; -9=unknown q10_rash
aesa16 Integer Recommended Weight Gain: Have you had any problems with weight gain? (Severe = new clothes required) 0;1;2;3 0=Absent; 1=Mild; 2=Moderate; 3=Severe q11_weight_gain
q12_weight_loss Integer Recommended Weight loss 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q13_dull_appear Integer Recommended Dull "drugged" appearance 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q14_headache Integer Recommended Headache 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q15_tics Integer Recommended Muscular Twitches (tics) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q16_hallucinate Integer Recommended Seeing or hearing things that are not there 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q17_bellyache Integer Recommended Bellyache 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q18_irritability Integer Recommended Irritability 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q19_oppositionality Integer Recommended Oppositionality (refusing to do what is asked) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q20_defiance Integer Recommended Defiance 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q21_impulsivity Integer Recommended Impulsivity 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q22_hyperactivity Integer Recommended Hyperactivity 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
cwm5c Integer Recommended Aggression. Verbal threats or physical aggression directed towards others. 0::3 0 = NOT PRESENT; 1 = MILD (no interference with functioning; 2 = MODERATE (interference in at least one area of functioning); 3 = SEVERE (prevents functioning in at least one area, or is a major threat to health) q23_aggression
q24_anger Integer Recommended Anger 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
teasap7 Integer Recommended Loses temper easily, short fuse, Impatient 0::3 0=None; 1= Mild; 2= Moderate; 3= Severe q25_short_temper
q26_self_injurious Integer Recommended Self Injurious Behavior 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q27_sadness Integer Recommended Sadness 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q28_anxiety Integer Recommended Anxiety 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q29_oth_illness Integer Recommended Other illness (specify) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
fammedhx_other_specify String 255 Recommended If any other disorder/illness: specify q29_oth_illness_desc
q30_oth_injury Integer Recommended Other injury (specify) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
mvra59 String 100 Recommended Summary Chart: Injury (most serious) - specify other injury q30_other_injury_desc
q31_oth_health_pblm Integer Recommended Other health problem (specify) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
pl_hea_other String 300 Recommended Problems in Health - Other: specify q31_oth_health_pblm_desc
q33_change_eating Integer Recommended Have there been any changes in eating habits since the last session? (specify) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q33_change_eating_desc String 500 Recommended Specify Change in eating habits
q34_change_routine Integer Recommended Have there been any significant changes in routine since the last session? (specify) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q34_routine_change_desc String 100 Recommended Specify change in routine
q35_events_family Integer Recommended Have there been any significant family events since the last session? (specify) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q35_events_family_desc String 500 Recommended Specify change in significant family events
q36_events_school_ Integer Recommended Have there been any significant school/social events since the last session? (specify) 0::3 0 = Absent; 1 = Mild; 2 = Moderate; 3 = Severe
q36_events_school_desc String 500 Recommended Specify significant school/social events
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data
session Integer Recommended Session
validity String 13 Recommended Valdity rating Yes;No;Questionnable
site String 101 Recommended Site Study Site
resp_source Integer Recommended Respondent Source 1::6 1= subject; 2= parent; 3= clinician; 4= teacher; 5= trainer; 6= fidelity reviewer source
Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

  • Element Name: This is the standard element name
  • Data Type: Which type of data this element is, e.g. String, Float, File location.
  • Size: If applicable, the character limit of this element
  • Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
  • Description: A basic description
  • Value Range: Which values can appear validly in this element (case sensitive for strings)
  • Notes: Expanded description or notes on coding of values
  • Aliases: A list of currently supported Aliases (alternate element names)
  • For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

  • Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
  • Download a copy of this definition in CSV format
  • Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

Please email the The NDA Help Desk with any questions.