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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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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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Delinquency and Substance Abuse Measure

dsam

01

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 fieldadate
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.age
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender, sex
dq_1IntegerRecommendedStarted a fightHow many times
dq_2IntegerRecommendedHit someone with the idea of seriously hurting themHow many times
dq_3IntegerRecommendedGone out at night when your parents told you that you couldnt goHow many times
dq_4IntegerRecommendedTaken something from a store without paying for itHow many times
dq_5IntegerRecommendedThrown objects such as rocks or bottles at cars or peopleHow many times
dq_6IntegerRecommendedBroken or destroyed somebody elses things just for funHow many times
dq_7IntegerRecommendedRan away from home and stayed overnightHow many times
lifa7aIntegerRecommendedHow many times have you been picked up by the police, but not charged?dq_8
dq_9IntegerRecommendedBroken into a house, store, school, or other building without the owner's permissionHow many times
dq_10IntegerRecommendedTaken something that didnt belong to you, like other kids clothes or lunches, or money from your parents without their knowing itHow many times
saq_1IntegerRecommendedHave you ever tried cigarette smoking, even one or two puffs?0;10 = No; 1 = Yes
yrbs26IntegerRecommendedHow old were you when you smoked a whole cigarette for the first time?0::7; 9990 = I have never smoked a whole cigarette; 1 = 8 years old or younger; 2 = 9 or 10 years old; 3 = 11 or 12 years old; 4 = 13 or 14 years old; 5 = 15 or 16 years old; 6 = 17 years old or older; 999 = Legitimate Skip; 7= 13 years or oldersaq_1_a
yrbs29IntegerRecommendedDuring the past 30 days, on how many days did you smoke cigarettes on school property?0::6; 9990 = 0 days; 1 = 1 or 2 days; 2 = 3 to 5 days; 3 = 6 to 9 days; 4 = 10 to 19 days; 5 = 20 to 29 days; 6 = All 30 days; 999 = Legitimate Skipsaq_1_b
yrbs28IntegerRecommendedDuring the past 30 days, on the days you smoked, how many cigarettes did you smoke per day?0::6; 9990 = I did not smoke cigarettes during the past 30 days; 1 = Less than 1 cigarette per day; 2 = 1 cigarette per day; 3 = 2 to 5 cigarettes per day; 4 = 6 to 10 cigarettes per day; 5 = 11 to 20 cigarettes per day; 6 = More than 20 cigarettes per day; 999 = Legitimate Skipsaq_1_c
saq_1_dIntegerRecommendedDuring the past 30 days, how did you usually get your own cigarettes?0::7; 9991 = I bought them in a store (convenience, supermarket, discount store, gas station); 2 = Vending machine; 3 = I gave someone else money to buy them for me; 4 = I borrowed (or bummed) them from someone else; 5 = A person 18 years or older gave them to me; 6 = I took them from a store or family member; 7 = I got them some other way; 999 = LEGITIMATE SKIP
cig_smoking_evryday_1monIntegerRecommendedHas there ever been a period in your life when you smoked cigarettes every day for at least 30 days? PX030601_Cigarette_Smoking_Everyday_1Month1;2;97; 9991=Yes; 2=No; 97=Don't Know/Refused; 999 = Legitimate Skipsaq_1_e
yrbs33IntegerRecommendedDuring the past 30 days, on how many days did you use chewing tobacco, snuff, or dip on school property?0::60 = 0 days; 1 = 1 or 2 days; 2 = 3 to 5 days; 3 = 6 to 9 days; 4 = 10 to 19 days; 5 = 20 to 29 days; 6 = All 30 dayssaq_2
saq_3IntegerRecommendedHave you ever had a drink of alcohol, other than a few sips?0;10 = No; 1 = Yes
yrbs19IntegerRecommendedHow old were you when you had your first drink of alcohol other than a few sips?0::7; 9990 = I have never had a drink of alcohol other than a few sips; 1 = 8 years old or younger; 2 = 9 or 10 years old; 3 = 11 or 12 years old; 4 = 13 or 14 years old; 5 = 15 or 16 years old; 6 = 17 years old or older; 999 = Legitimate Skip; 7= 13 years old or oldersaq_3_a
cs08IntegerRecommended8. Marijuana?0;10=No; 1=Yessaq_4
yrbs36IntegerRecommendedHow old were you when you tried marijuana for the first time?0::7; 9990 = I have never tried marijuana; 1 = 8 years old or younger; 2 = 9 or 10 years old; 3 = 11 or 12 years old; 4 = 13 or 14 years old; 5 = 15 or 16 years old; 6 = 17 years old or older; 999 = Legitimate Skip; 7= 13 years old or oldersaq_4_a
cs09IntegerRecommendedCocaine0;10=No; 1=Yessaq_5
mta_sra_f29aIntegerRecommendedEver carried a weapon?0;10=No; 1=Yessaq_6_a
saq_6_bIntegerRecommendedHave you ever been in a physical fight?0;10 = No; 1 = Yes
saq_6_cIntegerRecommendedHave you ever been in a physical fight in which you were hurt and had to be treated by a doctor or nurse?0;10 = No; 1 = Yes
delintotIntegerRecommendedDelinquent Behavior Total(sum of DQ_1, DQ_2, DQ_3, DQ_4, DQ_5, DQ_6, DQ_7, DQ_8, DQ_9, DQ_10)
delinmnFloatRecommendedDelinquent Behavior Mean(mean of DQ_1, DQ_2, DQ_3, DQ_4, DQ_5, DQ_6, DQ_7, DQ_8, DQ_9, DQ_10)
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: dsam01 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.