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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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Functional Capacity

0 Shared Subjects

N/A
Clinical Assessments
Task Based
06/29/2015
fctask01
04/12/2017
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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 subjectid, subjectnumber
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field datacollecteddate
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 task_1 Integer Recommended Go to town task: number of errands completed 0::14 corr_num_errands, go_to_town_01
Query task_time Integer Recommended Task: time in seconds 0::1800 go_to_town_02, time
Query error_1 Integer Recommended 1. Visited store not on list/visited extra store or location 0::12 err_extra_3a, go_to_town_03
Query error_2 Integer Recommended 2. Doesn't enter or exit through doors 0::20 err_doors_3b, go_to_town_04
Query error_3 Integer Recommended 3. Goes the wrong way on one way shortcut(s) 0::10 err_shortcut_3c, go_to_town_05
Query error_4 Integer Recommended 4. Enters town via street other than Chestnut St 0;1 go_to_town_06
Query error_5 Integer Recommended 5. Does not park in parking lot before errands 0;1 go_to_town_07
Query error_6 Integer Recommended 6. Does not visit bank before visiting stores 0;1 go_to_town_08
Query error_7 Integer Recommended 7. Does not acquire dress directly before shoes 0;1 go_to_town_09
Query error_8 Integer Recommended 8.Buys card after visiting post office 0;1 go_to_town_10
Query error_9 Integer Recommended 9. Dentist visit not at end, directly before getting car 0;1 go_to_town_11
Query error_10 Integer Recommended 10. Visits gas station before getting car at parking lot 0;1 go_to_town_12
Query error_11 Integer Recommended 11. Leaves town via street other than Jackson Ave 0;1 go_to_town_13
Query errors_total Integer Recommended Total Errors go_to_town_ctotal_01
Query task_2 Integer Recommended Sequence used 0::6 ctpip_social_01
Query task_3 Float Recommended Social CPT-IP: Faces d' ctpip_social_03
Query task_4 Float Recommended Social CPT-IP: 4 digit d' ctpip_social_04
Query task_5 Float Recommended Social CPT-IP: Shapes d' ctpip_social_05
site String 101 Recommended Site Study Site sitenumber
Query visit_name String 20 Recommended session ID/screening ID visitnumber
Query visit String 50 Recommended Visit name visitlabel
Query subjecttype String 20 Recommended Subject Type Control;Prodromal; Enhanced; Non-Enhanced
Query elig_inclusion_check Integer Recommended Checks for a pass/fail on Elig for Inclusion 0::3 0=Failed (Ineligible); 1=Passed (Eligible); 2=In screening; 3=NA
Query dataquality Integer Recommended Data quality 0::5 0=No data (cancelled); 1=Data entered but only once, has missing data; 2=Data entered but only once, no missing data; 3=Double entered; 4=Data frozen for cleaning; 5=Data clean/locked
ctpip_social_02 Date Recommended Date file emailed MM/DD/YYYY
Query err_order_3d Integer Recommended Number of times subject does errands in the wrong order 0 :: 8
Query err_total Integer Recommended Total number of errands 0 :: 308
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.