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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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Data Structures with shared data
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Acculturation Survey

1,030 Shared Subjects

N/A
Clinical Assessments
Social Adjustment
07/07/2015
acc01
11/20/2017
View Change History
01
Query Element Name Data Type Size Required Condition Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project aid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field ladder_date
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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.
sex String 20 Required Sex of the subject M;F M = Male; F = Female gender
site String 101 Recommended Site Study Site asite
Query clinicid Integer Recommended Clinic ID aclinic
Query interv Integer Recommended Intervention Status 0;1 1=ITV, intervention; 0=TAU, treatment as usual
visit String 50 Recommended Visit name eventname, wave
Query days_baseline Integer Recommended Days since baseline lof
Query ustime_coded Integer Recommended About how long have you been in the United States? PX011201_Years_living_in_US_Coded 0::95;97;99 0=less than 1 year; 95= 95+ years; 97=Refused; 99=Don't Know acc2_yrs
Query acc3_age Integer Recommended Age when immigrated to United States
Query acc4 Integer Recommended Imagine a ladder with ten rungs on it. On the top rung of this ladder are the people who are best off-those who have the most money, the most education, and the most respected jobs. On the bottom rung of the ladder are people who are the worst off-those that have the least money, least education, and the least respected jobs, or no job at all. The higher up you are on the ladder, the closer you are to the people at the very top; the lower you are, the closer you are to the people at the very bottom. Where (or on what rung) of this ten-rung ladder would you place yourself? 0::10 ladder_score
Query acc5 Integer Recommended Imagine the same ten-rung ladder. But now, the ladder represents where people stand in their communities. People define 'community' in different ways; please define it in whatever way is most meaningful to you. The top of the ladder is where people with the highest standing in their community would be. At the bottom of the ladder are people who have the lowest standing in their community. Where on this ten-rung ladder do you think you stand at this time of your life, relative to other people in your community? 0::10
Query acc6 Integer Recommended How often do people treat you unfairly because of your race or ethnicity?
Query ustime Integer Recommended How long you lived in US, years
Query accult_select_language Integer Recommended Test given in Spanish? ¿Español? 0;1 0=No; 1=Yes accult_select_language___1
Query speak_eng Integer Recommended How well do you speak English? ¿Qué tan bien habla usted el inglés?
0::3; 8; 9
0 = Poor/Mal; 1 = Fair/Regular; 2 = Good/Bien; 3 = Excellent/Excelente; 8 = Don't Know/No se; 9 = Refused/Niego contestar accult_q1_p, accult_q1_y
Query accult_q2_p Integer Recommended Besides English, do you speak or understand another language or dialect? ¿Además del inglés, habla o entiende otro idioma o dialecto? 0;1 0=No; 1=Yes accult_q2_y
oth_lang String 150 Recommended What other languages are you fluent in? accult_q3_p, accult_q3_y
Query accult_q3_dropdwn_p Integer Recommended accult_q2_p == 1 What other language or dialect do you speak or understand (besides English)? ¿Cuál es el dialecto o idioma que mejor habla o entiende (además del inglés)? 1::57 1 = American Sign Language (ASL); 2 = Arabic; 3 = Arawak; 4 = Bangla; 5 = Bosnian; 6 = Cantonese; 7 = Cham; 8 = An American Indian or Alaska Native language; 9 = Creole; 10 = Croatian; 11 = Dutch; 12 = Filipino; 13 = Finnish; 14 = Flemish; 15 = French; 16 = Frisian; 17 = Gaelic; 18 = Garifuna; 19 = German; 20 = Greek; 21 = Hakka; 22 = Hebrew; 23 = Hindi; 24 = Hokkien; 25 = Hungarian; 26 = Italian; 27 = Japanese; 28 = Jarai; 29 = Khmer; 30 = Korean; 31 = Kuy; 32 = Luganda; 33 = Mandarin; 34 = Nepali; 35 = Papiamento; 36 = Patois; 37 = Persian; 38 = Polish; 39 = Portuguese; 40 = Punjabi; 41 = Romanian; 42 = Russian; 43 = Samoan; 44 = Serbian; 45 = Sinhala; 46 = Sourashtra; 47 = Spanish (Español); 48 = Stieng; 49 = Swahili; 50 = Tagalog; 51 = Tamil; 52 = Telugu; 53 = Thai; 54 = Turkish; 55 = Urdu; 56 = Vietnamese; 57 = Other accult_q3_dropdwn_y
accult_q3_other_p String 30 Conditional accult_q3_dropdwn_p == 57 What other language or dialect do you speak or understand (besides English)? ¿Cuál es el dialecto o idioma que mejor habla o entiende (además del inglés)? accult_q3_other_y
Query friend_speak Integer Conditional accult_q2_p == 1 What language do you speak with most of your friends? ¿En qué idioma habla con la mayoría de sus amistades?
0::4; 8; 9
0 = (Other language) all the time/(Otro idioma) todo el tiempo; 1 = (Other language) most of the time /(Otro idioma) la mayor parte del tiempo; 2 = (Other language) and English equally /(Otro idioma) e inglés igualmente; 3 = English most of the time /Inglés la mayor parte del tiempo; 4 = English all the time/ Inglés todo el tiempo; 8 = Don't Know /No se; 9 = Refused/ Niego contestar accult_q4_p, accult_q4_y
Query family_speak Integer Conditional accult_q2_p == 1 What language do you speak with most of your family? ¿En qué idioma habla con la mayoría de su familia?
0::4; 8; 9
0 = (Other language) all the time/(Otro idioma) todo el tiempo; 1 = (Other language) most of the time /(Otro idioma) la mayor parte del tiempo; 2 = (Other language) and English equally /(Otro idioma) e inglés igualmente; 3 = English most of the time /Inglés la mayor parte del tiempo; 4 = English all the time/ Inglés todo el tiempo; 8 = Don't Know /No se; 9 = Refused/ Niego contestar accult_q5_p, accult_q5_y
Query respond Integer Required Respondent 1::5;999 1 = Parent; 2 = Teacher; 3=Self; 4= Other; 5= Significant other; 999 = Not available
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.