Reset Password

NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR 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.

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:

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the National Database for Autism Research (NDAR) web site to go to:

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


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

Accept Terms
Selected Filters
No filters selected

The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Value Range
Data Structures with shared data
No filters have been selected
Switch User

4-Item Positive Symptom Rating Scale



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired field
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
infosrcIntegerRecommendedSources of information1::41= Participant; 2= Parents/relatives; 3= Mental health professionals; 4= Chart
bprs_suspIntegerRecommendedBPRS item 6 Suspiciousness1::9; -91 = Not present; 2 = Very mild; 3 = Mild; 4 = Moderate; 5 = Moderately severe; 6 = Severe; 7 = Extremely severe; 9=not assessed; -9=unknownfipsrs01
gps_g9IntegerRecommendedG9. Unusual Thought Content1::71 = Absent;2 = Minimal;3 = Mild;4 = Moderate;5 = Moderate Severe;6 = Severe;7 = Extremefipsrs02
fipsrs03IntegerRecommendedHallucinations Rating1::71= Not Present; 2= Very Mild (While resting or going to sleep; sees visions; smells odors; or hears voices; sounds or whispers in the absence of external stimulation; but no impairment in functioning.); 3= Mild (While in a clear state of consciousness; hears a voice calling the participant's name; experiences nonverbal auditory hallucinations (e.g.; sounds or whispers); formless visual hallucinations; or has sensory experiences in the presence of a modality-relevant stimulus (e.g.; visual illusions) infrequently (e.g.1-2 times per week) and with no functional impairment.); 4= Moderate (Occasional verbal; visual; gustatory; olfactory; or tactile hallucinations with no functional impairment OR nonverbal auditory hallucinations/visual illusions more than infrequently or with impairment.); 5= Moderately Severe (Experiences daily hallucinations OR some areas of functioning are disrupted by hallucinations.); 6= Severe (Experiences verbal or visual hallucinations several time a day OR many areas of functioning are disrupted by these hallucinations.); 7= Extremely Severe (Persistent verbal or visual hallucinations throughout the day OR most areas of functioning are disrupted by these hallucinations.)
bprs_concIntegerRecommendedBPRS item 11 Conceptual disorganization1::9; -91 = Not present; 2 = Very mild; 3 = Mild; 4 = Moderate; 5 = Moderately severe; 6 = Severe; 7 = Extremely severe; 9=not assessed; -9=unknownfipsrs04
fipsrs05IntegerRecommended4-Item Positive Symptom Total Score
fidsrs07IntegerRecommendedReason for questionable validity of assessment1::61= Symptoms possibly drug-induced; 2= Participant uncooperative; 3= Underrated due to lack of rapport; 4= Difficult to assess due to formal thought disorder; 5= Underreported due to negative symptoms; 6= Otherfipsrs07
wtar_validity_spString100RecommendedValidity issues, specifyfipsrs08
fidsrs09IntegerRecommendedConfidence in assessment1::51= Not at all; 5= Very confidentfipsrs09
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.

Distribution for DataStructure: fipsrs01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.