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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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Additional Subject Information

0 Shared Subjects

N/A
Clinical Assessments
Med History
05/24/2018
sub_info01
05/26/2018
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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
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field date_additional_info
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
Query med2a Integer Recommended Visit Number (most recently attended visit) 0::25 0=Baseline visit_number_scan_day_info
Query lastmeal Integer Recommended How many hours ago did you last eat? 1::4 1= 0-3; 2= 4-8; 3= 9-12; 4= 13 or more last_meal
Query alcohol_yes_or_no Integer Recommended Have you consumed any alcohol in the last 7 days? 0;1 0= No; 1= Yes
Query last_alcohol Integer Recommended If yes, how many days ago did you last drink? 1::5 1= 1-2; 2= 3-4; 3= 5-7; 4= 7 or more; 5= N/A
Query number_of_drinks Integer Recommended If yes, how many alcoholic drinks did you have? 1::4 1= 1-3; 2= 4-8; 3= 9 or more; 4= N/A
Query hours_of_sleep Integer Recommended How many total hours of sleep did you get last night? 0::3 0= 0; 1= 1-4; 2= 5-8; 3= 9 or more
why_no_sleep String 50 Recommended If no sleep, explain why:
Query pls1_y_nic_use Integer Recommended Have you used nicotine (such as cigarettes, electronic cigarettes/vape pen/e-hookah, hookah, chewing tobacco, or cigar) in the last 24 hours? 0 ; 1 1 = Yes; 0 = No smoked_cigarettes
Query number_of_cigarettes Integer Recommended If yes, how many cigarettes have you had in the last 24 hours? 1::5 1= 1-2; 2= 3-4; 3= 5-7; 4= 8 or more; 5= N/A
Query hours_ago_smoked Integer Recommended How many hours ago did you last smoke? 0::5 1= 0-3; 2= 4-8; 3= 9-12; 4= 13 or more; 5= N/A
Query caffeine_last_24_hours Integer Recommended Have you had any caffeine in the last 24 hours? 0;1 0= No; 1= Yes
Query caffeine_hours_ago Integer Recommended If yes, how many hours ago did you consume caffeine? 1::5 1= 0-3; 2= 4-8; 3= 9-12; 4= 13 or more; 5= N/A
Query servings_of_caffeine Integer Recommended How many servings of caffeine did you have? 1::4 1= 1-2; 2= 3-4; 3= 5 or more; 4= N/A
Query sub_meds Integer Recommended Have you taken any medication in the last 24 hours besides the study drug? 0;1 0= No; 1= Yes medications
name_of_medications String 50 Recommended If you have taken medications in the last 24 hours, please list:
Query hours_ago_medication_taken Integer Recommended How many hours ago did you take any of the medications listed? 1::5 1= 0-3; 2= 4-8; 3= 9-12; 4= 13 or more; 5= N/A
Query interventions_treatments Integer Recommended Have you received any medical intervention or treatment since your last scan visit (e.g., psychiatric appointments, psychotherapy, emergency room visits, regular doctors visits, etc.)? 1::6 1= Psych appointments; 2= Psychotherapy; 3= Emergency room visits; 4= Regular doctor visits; 5= Other; 6= None interventions_treatments__1, interventions_treatments__2, interventions_treatments__3, interventions_treatments__4, interventions_treatments__5, interventions_treatments__6
notes_interven_treat String 255 Recommended If the response to above question is any of the following Psych appointments, Psychotherapy, Emergency room visits. regular doctor visits, other, please explain in detail.
Query exercise Integer Recommended Did you engage in any physical activity or exercise for at least 20 mins in the last 24 hrs? 0; 1 0=No; 1=Yes
Query exercise_hours_ago Integer Recommended Did you engage in any physical activity or exercise for at least 20 mins in the last 24 hrs? If yes, how many hours ago? 1::5 1= 0-3; 2= 4-8; 3= 9-12; 4= 13 or more; 5= N/A
Query exercise_duration Integer Recommended How long did you exercise? 1::5 1= 30; 2= 60; 3= 90; 4= more than 90; 5= N/A
Query menstruating_currently Integer Recommended If female, are you currently menstruating? 1::3 1= Yes; 2= No; 3= N/A= Male
Query start_of_menstrual_cycle Integer Recommended If yes, how many days ago did your menstrual cycle begin? 1::4 1= 0-2; 2= 3-4; 3= 5-7; 4= 8 or more
date_menst_psychhx String 30 Recommended First date of the last menstrual cycle (females only) first_day_lmp
Query duration_of_lmp Integer Recommended Length of menstrual cycle, days 1::4 1= 1-2; 2= 3-4; 3= 5-7; 4= 8 or more
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.