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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.

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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

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Medications List



Psychopharmacological Treatment of Autism Questionnaire. Medications List

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/projectid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldtdate
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
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
hyper_medString255RecommendedMedication(s) for hyperactivity, impulsivity, attention
hyper_med_takenIntegerRecommendedHyperactivity medication taken in the last month0;10=No; 1=Yes
ritbeh_medString255RecommendedRitualistic behavior, obsessive compulsive and perseverative behaviors; medication(s)
ritbeh_takenIntegerRecommendedRitualistic behavior medication(s) taken in the last month0;10=No; 1=Yes
stermov_medString255RecommendedStereotypic movements, motor or vocal tics; medication(s)
stermov_med_takenIntegerRecommendedStereotypic movements, motor or vocal tics medication(s) taken in the last month0;10=No; 1=Yes
anxiety_medString255RecommendedAnxiety medication(s)
anx_med_takenIntegerRecommendedAnxiety medication(s) taken in the last month0;10=No;1=Yes
agrr_medString255RecommendedAggression/impulsivity medication(s)
agrr_med_takenIntegerRecommendedAggression/impulsivity medication(s) taken in the last month0;10=No;1=Yes
dqpa1IntegerRecommendedPresence or absence of 1 or more of the listed drugs0;11= presence, 0 = absencenomed
medication1_nameString100RecommendedName first medication that the participant has taken0 = No medication; 999= Legitimately skippedmed1
medication1_dosageString50RecommendedFirst medication dosage0 = No medication; 999 = Missingw1m1
medication2_nameString200RecommendedName second medication that the participant has taken0 = No medication; 999= Legitimately skippedmed2
medication2_dosageString50RecommendedSecond medication dosage0 = No medication; 999 = Missingw1m2
medication3_nameString150RecommendedName third medication that the participant has taken0 = No medication; 999= Legitimately skippedmed3
medication3_dosageString50RecommendedThird medication dosage0 = No medication; 999 = Missingw1m3
medication4_nameString100RecommendedName fourth medication that the participant has taken0 = No medication; 999= Legitimately skippedmed4
medication4_dosageString50RecommendedFourth medication dosage0 = No medication; 999 = Missingw1m4
medication5_nameString100RecommendedName fifth medication that the participant has taken0 = No medication; 999= Legitimately skippedmed5
medication5_dosageString50RecommendedFifth medication dosage0 = No medication; 999 = Missingw1m5
medication6_nameString100RecommendedName sixth medication that the participant has taken0 = No medication; 999= Legitimately skippedmed6
medication6_dosageString50RecommendedSixth medication dosage0 = No medication; 999 = Missingw1m6
medication7_nameString100RecommendedName seventh medication that the participant has taken0 = No medication; 999= Legitimately skippedmed7
medication7_dosageString50RecommendedSeventh medication dosage0 = No medication; 999 = Missingw1m7
medication8_nameString100RecommendedName eighth medication that the participant has taken0 = No medication; 999= Legitimately skippedmed8
medication8_dosageString50RecommendedEighth medication dosage0 = No medication; 999 = Missingw1m8
medication9_nameString100RecommendedName ninth medication that the participant has takenmed9
medication9_dosageString50RecommendedNinth medication dosagew1m9
medication_10_nameString50Recommendedspecify med 10med10
medication10_dosageString50RecommendedTenth medication dosagew1m10
siteString100RecommendedSiteStudy Site
days_baselineIntegerRecommendedDays since baseline
respondIntegerRecommendedRespondent1::4;9991 = Parent; 2 = Teacher; 3=Self; 4= Other; 999 = Not availableporc
num_medsIntegerRecommendedNumber of medicationsendmed
drug_classIntegerRecommendedDrug Class1::61= Antidepressants;2= Mood Stabilizers;3= Sedatives;4= Antipsychotics;5= Stimulants;6= Otherdrugclass
medication_dosageFloatRecommendedDosage/quantity of medicationdrugdose
cmd008_1IntegerRecommendedMedication Frequency1::7; -91=Daily/once a day; 2=BID. 2x/day; 3=TID, 3x/day; 4=QID, 4x/day; 5=QHS, every night; 6=PRN, as needed; 7=Other (specify); -9=Unknowntiming
bsimoFloatRecommendedMonths from Time 0 to assessmentmonfol
intstartDateRecommendedintake start dateidate
visnumFloatRecommendedNumeric Visit Number-1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
weekFloatRecommendedWeek in level/study99=week 10-week 14weekst0
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: medlist01 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.