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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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General Habit Questionnaire



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/projectsubject_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fielddate_ctq, v2_ctq_date
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.v2_ctq_age
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
ghq_1IntegerRecommendedDo you currently consume nicotine?0;10=No; 1=Yes
ghq_2IntegerRecommendedCurrent smoker. How many cigarettes per day?1 :: 200
ghq_3IntegerRecommendedCurrent smoker. At what age did you smoke your first cigarette?1 :: 200
ghq_4IntegerRecommendedCurrent smoker. At what age did you become a regular smoker?1 :: 200
ghq_5IntegerRecommendedCurrent smoker. In the past 12 months, how many times did you try to quit smoking and succeeded for at least 24 hours?1 :: 200
ghq_6IntegerRecommendedCurrent smoker. How many attempts have you made to quit smoking?1 :: 200
ghq_7String20RecommendedCurrent smoker. When did you smoke your last cigarette?
ghq_8IntegerRecommendedCurrent smoker. How many cigarettes have you smoked in the past 24 hours?1 :: 200
ghq_9IntegerRecommendedHave you regularly consumed nicotine in the past?0;10=No; 1=Yes
former_smoker_qty_1daybIntegerRecommendedProtocol C is used with adults who are Former Smokers. When you last smoked every day, on average how many cigarettes did you smoke each day? PX030802_Former_Smoker_Quantity_1DayB1::99ghq_10
ghq_11IntegerRecommendedFormer smoker. At what age did you smoke your first cigarette?1 :: 200
ghq_12IntegerRecommendedFormer smoker. At what age did you become a regular smoker?1 :: 200
ghq_13IntegerRecommendedFormer smoker. How many attempts did you make to quit smoking?1 :: 200
ghq_14String20RecommendedFormer smoker. When did you smoke your last cigarette?
ghq_15IntegerRecommendedDo you currently consume alcohol?0;10=No; 1=Yes
ghq_16IntegerRecommendedHow many 12 ounce beers or wine coolers do you consume during a typical week?1 :: 200
ghq_17IntegerRecommendedHow many 4-6 ounce glasses of wine do you consume during a typical week?1 :: 200
ghq_18IntegerRecommendedHow many ounce distilled spirits do you consume during a typical week?1 :: 200
ghq_19IntegerRecommendedHow many 12 ounce beer or wine cooler of the following have you consumed in the past 24 hours?1 :: 200
ghq_20IntegerRecommendedHow many 4-6 ounce glasses of wine of the following have you consumed in the past 24 hours?1 :: 200
ghq_21IntegerRecommendedHow many ounce distilled spirits of wine of the following have you consumed in the past 24 hours?1 :: 200
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: ghq01 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.