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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

Glossary

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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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Data Structures with shared data
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ABCD Parent Community Risk and Protective Factors (CRPF)

abcd_crpf

01

Beliefs about drug availability (alcohol, nicotine, marijuana, “other” drugs) along with questions about access and exposure to medical marijuana

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Download Submission Template as
Element NameData TypeSizeRequiredConditionDescriptionValue 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
eventnameString60RequiredThe event name for which the data was collected
su_select_language___1IntegerRecommended¿Español? (1, Sí)0 ; 10 = No; 1 = Yessu_crpf_avail_select_language_p
su_risk_p_1IntegerRecommendedIf your child wanted to get some beer, wine, or hard liquor (for example vodka, whiskey, or gin), how easy would it be for her/him to get some? Si su niño(a) quisiera conseguir cerveza, vino o licor fuerte (por ejemplo, vodka, whisky o ginebra), ¿qué tan fácil le sería?0 ; 1 ; 2 ; 3 ; 40 = Very hard Muy difícil; 1 = Sort of hard Algo difícil; 2 = Sort of easy Algo fácil; 3 = Very easy Muy fácil; 4 = Don't know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_1_p
su_risk_p_2IntegerRecommendedIf your child wanted to get some cigarettes, how easy would it be for her/him to get some? Si su niño(a) quisiera conseguir cigarrillos, ¿qué tan fácil le sería?0 ; 1 ; 2 ; 3 ; 40 = Very hard Muy difícil; 1 = Sort of hard Algo difícil; 2 = Sort of easy Algo fácil; 3 = Very easy Muy fácil; 4 = Don't know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_2_p
su_risk_p_3IntegerRecommendedIf your child wanted to get some e-cigarettes, vape pens, or e-hookah, how easy would it be for her/him to get some? Si su niño(a) quisiera conseguir cigarrillos electrónicos, plumas de vapor o narguile (hookah) electrónica, ¿qué tan fácil le sería?0 ; 1 ; 2 ; 3 ; 40 = Very hard Muy difícil; 1 = Sort of hard Algo difícil; 2 = Sort of easy Algo fácil; 3 = Very easy Muy fácil; 4 = Don't know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_3_p
su_risk_p_4IntegerRecommendedIf your child wanted to get some marijuana, how easy would it be for her/him to get some? Si su niño(a) quisiera conseguir marihuana, ¿qué tan fácil le sería?0 ; 1 ; 2 ; 3 ; 40 = Very hard Muy difícil; 1 = Sort of hard Algo difícil; 2 = Sort of easy Algo fácil; 3 = Very easy Muy fácil; 4 = Don't know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_4_p
su_risk_p_5IntegerRecommendedIf your child wanted to get a drug like cocaine, LSD, or amphetamines, how easy would it be for her/him to get some? Si su niño(a) quisiera conseguir alguna droga, como cocaína, LSD o anfetaminas, ¿qué tan fácil le sería?0 ; 1 ; 2 ; 3 ; 40 = Very hard Muy difícil; 1 = Sort of hard Algo difícil; 2 = Sort of easy Algo fácil; 3 = Very easy Muy fácil; 4 = Don't know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_5_p
su_risk_p_6IntegerRecommendedIs "medical marijuana" (marijuana prescribed by a doctor) legal in your state? ¿Es la "marihuana medicinal" (marihuana recetada por un médico) legal en su estado?0 ; 1 ; 20 = Yes Sí; 1 = No No; 2 = I do not know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_6_p
su_risk_p_7IntegerRecommended su_risk_p_6 == 0If your child wanted to get medical marijuana from someone with a prescription, how easy would it be? Si su niño(a) quisiera conseguir marihuana de alguien con una receta para uso medicinal, ¿qué tan fácil le sería?0 ; 1 ; 2 ; 3 ; 40 = Very hard Muy difícil; 1 = Sort of hard Algo difícil; 2 = Sort of easy Algo fácil; 3 = Very easy Muy fácil; 4 = Don't know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_7_p
su_risk_p_8IntegerRecommended su_risk_p_6 == 0If your child wanted to get a prescription for medical marijuana, how easy would it be? Si su niño(a) quisiera conseguir una receta de marihuana medicinal, ¿qué tan fácil le sería?0 ; 1 ; 2 ; 3 ; 40 = Very hard Muy difícil; 1 = Sort of hard Algo difícil; 2 = Sort of easy Algo fácil; 3 = Very easy Muy fácil; 4 = Don't know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_8_p
su_risk_p_9IntegerRecommended su_risk_p_6 == 0How many of your friends or family members have a medical marijuana prescription? ¿Cuántos de sus amigos(as) o familiares tienen una receta para marihuana medicinal?0 ; 8 ; 9 ; 10 ; 11 ; 9990 = 0; 8 = 1-3; 9 = 4-6; 10 = 7-9; 11 = 10 or more people 10 o más personas; 999 = Don't know No lo sé; Now I am going to ask you about how easy it is to get certain substances. /Ahora le voy a preguntar qué tan fácil es conseguir ciertas sustancias.su_crpf_avail_9_p
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: abcd_crpf01 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.