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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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EEG Task Questionnaire

747 Shared Subjects

N/A
Clinical Assessments
Task Based
02/11/2015
eegtaskquest01
11/27/2018
View Change History
01
Query Element Name Data Type Size Required 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 subject_id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field date_ctq, date_nl, v2_ctq_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. v2_ctq_age
sex String 20 Required Sex of the subject M;F M = Male; F = Female gender
Query eng_first Integer Recommended Is English your first language? 0;1 0 = No; 1 = Yes eeg_s_01
Query eeg_s_01_a Float Recommended Checks how many years speaking English
Query cfmh_chd_hearingimp Integer Recommended Does the patient have a hearing impairment? 1;0 0 = No; 1 = Yes eeg_s_02
hear_prob_spfy String 255 Recommended Notes about hearing eeg_s_02_a
Query eeg_s_02_b String 250 Recommended Did you receive a diagnosis or treatment of your hearing problem?
Query eeg_s_03 Float Recommended In the past 24 hours, how many drinks containing caffeine (i.e. coffee, tea, soda, energy drink, etc.) did you have? nl_cafdrinks
Query eeg_s_04 Float Recommended In the past 24 hours, how many times did you use cigarettes, tobacco or nicotine? nl_tob
Query eeg_s_05 Float Recommended In the past 24 hours, how many drinks containing alcohol (i.e. beer, wine, mixed drinks) did you have? nl_drinks
Query eeg_s_06 Integer Recommended In the last 24 hours, how many times have you taken any drugs to get high, feel better, or to change your mood?
Query rwd_ts01 Integer Recommended How well do you think you did on the task? 1::5 1=Very well; 2=Okay; 3=Average; 4=Poor; 5=Very poor
Query rwd_ts02 Integer Recommended How difficult was the task? 1::5 1=Very difficult; 2=Moderately difficult; 3=Neutral; 4=Moderately easy; 5=Very easy
Query rwd_ts03 Integer Recommended How stressful was the task? 1::5 1=Very stressful; 2=Moderately stressful; 3=Neutral; 4=Moderately unstressful; 5=Not at all stressful
Query rwd_ts04 Integer Recommended Did you feel that one of the mouths was easier to detect during the task? 0;1 0=No; 1=Yes
Query rwd_ts05 Integer Recommended Which mouth? 0;1 0=Short; 1=Long
Query rwd_ts06 Integer Recommended Did you like or prefer one mouth more than the other? 0;1 0=No; 1=Yes
Query rwd_ts07 Integer Recommended Which mouth? 1;2 2=Short; 1=Long
subject_description String 4,000 Recommended Subject related information (e.g the affection, phenotype, disease information, etc.).
Query site String 101 Recommended Site Study Site
Query study String 100 Recommended Study
Query week Float Recommended Week in level/study 99=week 10-week 14
Query sm_3b6 Integer Recommended Tried non-cigarette tobacco or nicotine product - nicotine patch? 1;0 1=Yes; 0=No nl_nicpat
Query nl_lastcaf Float Recommended Last time had drinks containing caffeine (i.e. coffee, tea, soda, energy drink, etc.) did you have? In hours, before testing
Query nl_lasttob Float Recommended Last time did you use cigarettes, tobacco or nicotine? In hours, before testing
Query nl_lastalc Float Recommended Last time had drinks containing alcohol (i.e. beer, wine, mixed drinks) did you have? In hours, before testing
Query nl_tobpro Integer Recommended Have you used any tobacco products (cigarettes, pipe, chewing tobacco, etc.) in the past 24 hours? 0;1 1 = Yes; 0 = No
Query nl_cafbev Integer Recommended Have you had any caffeinated beverages in the past 24 hours? 0;1 1 = Yes; 0 = No
Query nl_alc Integer Recommended Have you had any alcoholic beverages in the past 24 hours? 0;1 1 = Yes; 0 = No
Query peq_1 Integer Recommended Were you uncomfortable with the cap on? 1; 0; 888; 999
Query peq_2 Integer Recommended Did you feel anxious before the EEG session? 1; 0; 888; 999
Query peq_3 Integer Recommended Did you ever get sleepy during the recordings? 1; 0; 888; 999
Query peq_4 Integer Recommended Did you ever stop paying attention during the task? 1; 0; 888; 999
Query visnum Float Recommended Numeric Visit Number -1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
Query days_baseline Integer Recommended Days since baseline
Query caq_1b Integer Recommended Coffee, brewed (drip) - in the last 24 hours, cups (1 cup=8-ounce)
Query caq_5b Integer Recommended Tea, brewed - in the last 24 hours, cups (1 cup=8-ounce)
Query caq_8b Integer Recommended Soft drink - in the last 24 hours, cups (1 cup=8-ounce)
Query rb_4 Integer Recommended Investing 10% of your annual income in a moderate growth diversified fund. (F/I) 1::7 1 = Not benefits at all; 4 = Moderate benefits; 7 = Great benefits
Query rb_5 Integer Recommended Drinking heavily at a social function. (H/S) 1::7 1 = Not benefits at all; 4 = Moderate benefits; 7 = Great benefits
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.