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Frequently Asked Questions


NDA Help Center

Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions



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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.

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Assays Form



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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
sample_descriptionString3,500RequiredSample description: tissue type, i.e. blood, saliva, brain etc.whole blood; saliva; brain; urine; serum; plasma; CSF; IPS; Fibroblast; Neuronal Progenitor; skin biopsy; temporal cortex; lymphoblastoid cell line; unknown; semen; frontal cortex; parietal cortex; basal ganglia; Placenta; hair; occipital visual cortex; cerebellum; spleen; stool; muscle; kidney; liver; heart
reagString50RequiredSubstance/reagent of interest
cortisolmeasure_1FloatRecommendedSubstance Measure 1alphaamylasemeasure_1
cortisolmeasure_2FloatRecommendedSubstance Measure 2alphaamylasemeasure_2
cortisolmeasure_3FloatRecommendedSubstance Measure 3alphaamylasemeasure_3
cortisolmeasure_4FloatRecommendedSubstance Measure 4alphaamylasemeasure_4
cortisolmeasure_5FloatRecommendedSubstance Measure 5alphaamylasemeasure_5
cortisolmeasure_6FloatRecommendedSubstance Measure 6alphaamylasemeasure_6
cortisolmeasure_7FloatRecommendedSubstance Measure 7alphaamylasemeasure_7
cortisolmeasure_8FloatRecommendedSubstance Measure 8alphaamylasemeasure_8
assayid_1String20RecommendedAssay ID 1
assayid_2String20RecommendedAssay ID 2
assayid_3String20RecommendedAssay ID 3
assayid_4String20RecommendedAssay ID 4
assayid_5String20RecommendedAssay ID 5
assayid_6String20RecommendedAssay ID 6
assayid_7String20RecommendedAssay ID 7
assayid_8String20RecommendedAssay ID 8
correlated_value_1FloatRecommendedCorrelated Value 1cort1_value_scan1, cort1_value_scan2
correlated_value_2FloatRecommendedCorrelated Value 2cort2_value_scan1, cort2_value_scan2
correlated_value_3FloatRecommendedCorrelated Value 3cort3_value_scan1, cort3_value_scan2
correlated_value_4FloatRecommendedCorrelated Value 4cort4_value_scan1, cort4_value_scan2
correlated_value_5FloatRecommendedCorrelated Value 5cort5_value_scan1, cort5_value_scan2
correlated_value_6FloatRecommendedCorrelated Value 6cort6_value_scan1, cort6_value_scan2
correlated_value_7FloatRecommendedCorrelated Value 7cort7_value_scan1, cort7_value_scan2
correlated_value_8FloatRecommendedCorrelated Value 8
time_of_measure_1String25RecommendedDate/Time of Measure 1cort1_time_scan1, cort1_time_scan2
time_of_measure_2String25RecommendedDate/Time of Measure 2cort2_time_scan1, cort2_time_scan2
time_of_measure_3String25RecommendedDate/Time of Measure 3cort3_time_scan1, cort3_time_scan2
time_of_measure_4String25RecommendedDate/Time of Measure 4cort4_time_scan1, cort4_time_scan2
time_of_measure_5String25RecommendedDate/Time of Measure 5cort5_time_scan1, cort5_time_scan2
time_of_measure_6String25RecommendedDate/Time of Measure 6cort6_time_scan1, cort6_time_scan2
time_of_measure_7String25RecommendedDate/Time of Measure 7cort7_time_scan1, cort7_time_scan2
time_of_measure_8String25RecommendedDate/Time of Measure 8
cortisolmeasure_9FloatRecommendedSubstance Measure 9alphaamylasemeasure_9
cortisolmeasure_10FloatRecommendedSubstance Measure 10alphaamylasemeasure_10
assayid_9String20RecommendedAssay ID 9
assayid_10String20RecommendedAssay ID 10
correlated_value_9FloatRecommendedCorrelated Value 9
correlated_value_10FloatRecommendedCorrelated Value 10
time_of_measure_9String25RecommendedDate/Time of Measure 9
time_of_measure_10String25RecommendedDate/Time of Measure 10
trialIntegerRecommendedTrial number0::400; -777; -9991 = first; 2= second; 3=third; 4=fourth; 5=fifth; 6=sixth; etc; -777=NA, -999=missing
log_measure1FloatRecommendedLog-transformed value
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: cortisol01 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.