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Frequently Asked Questions

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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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Category Fluency

0 Shared Subjects

N/A
Clinical Assessments
Cognitive
03/11/2019
catflu01
03/18/2019
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 assessment_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
completed Integer Recommended Checks if completed 0::3 0=No; 1=Yes; 2=Yes, lost; 3=Unverified category_fluency_completion_status
cf_animals_time Integer Recommended fluency animals time frame seconds
cf_animals_raw_score Integer Recommended fluency animals number of correct responses 0 :: 77
verbal_cat_ss Integer Recommended Verbal Fluency, category animals, scaled score cf_animals_scaled_score
cf_animals_percrank Float Recommended fluency animals percentile rank 0 :: 100
cf_animals_range Integer Recommended fluency animals range 1 :: 7 1 = Impaired; 2 = Borderline; 3 = Low Average; 4 = Average; 5 = High Average; 6 = Superior; 7 = Very Superior
cf_vegetables_time Integer Recommended fluency vegetables time frame seconds
cf_vegetables_raw Integer Recommended fluency vegetables number of correct responses 0 :: 77
cf_vegetables_scaled_score Integer Recommended fluency, category vegetables, scaled score
cf_vegetables_percrank Float Recommended fluency vegetables percentile rank 0 :: 100
cf_vegetables_range Integer Recommended fluency vegetables range 1 :: 7 1 = Impaired; 2 = Borderline; 3 = Low Average; 4 = Average; 5 = High Average; 6 = Superior; 7 = Very Superior
cf_birds_time Integer Recommended fluency birds time frame seconds
cf_birds_raw Integer Recommended fluency birds number of correct responses 0 :: 77
cf_birds_scaled_score Integer Recommended fluency, category birds, scaled score
cf_birds_percrank Float Recommended fluency birds percentile rank 0 :: 100
cf_birds_range Integer Recommended fluency birds range 1 :: 7 1 = Impaired; 2 = Borderline; 3 = Low Average; 4 = Average; 5 = High Average; 6 = Superior; 7 = Very Superior
cf_dogs_time Integer Recommended fluency dogs time frame seconds
cf_dogs_raw Integer Recommended fluency dogs number of correct responses 0 :: 77
cf_dogs_scaled_score Integer Recommended fluency, category dogs, scaled score
cf_dogs_percrank Float Recommended fluency dogs percentile rank 0 :: 100
cf_dogs_range Integer Recommended fluency dogs range 1 :: 7 1 = Impaired; 2 = Borderline; 3 = Low Average; 4 = Average; 5 = High Average; 6 = Superior; 7 = Very Superior
cf_houseitems_time Integer Recommended fluency household items time frame seconds
cf_houseitems_raw Integer Recommended fluency household items number of correct responses 0 :: 77
cf_houseitems_scaled_score Integer Recommended fluency, category household items, scaled score
cf_houseitems_percrank Float Recommended fluency household items percentile rank 0 :: 100
cf_houseitems_range Integer Recommended fluency household items range 1 :: 7 1 = Impaired; 2 = Borderline; 3 = Low Average; 4 = Average; 5 = High Average; 6 = Superior; 7 = Very Superior
cf_vehicles_time Integer Recommended fluency vehicles time frame seconds
cf_vehicles_raw Integer Recommended fluency vehicles number of correct responses 0 :: 77
cf_vehicles_scaled_score Integer Recommended fluency, category vehicles, scaled score
cf_vehicles_percrank Float Recommended fluency vehicles percentile rank 0 :: 100
cf_vehicles_range Integer Recommended fluency vehicles range 1 :: 7 1 = Impaired; 2 = Borderline; 3 = Low Average; 4 = Average; 5 = High Average; 6 = Superior; 7 = Very Superior
cf_boats_time Integer Recommended fluency boats time frame seconds
cf_boats_raw Integer Recommended fluency boats number of correct responses 0 :: 77
cf_boats_scaled_score Integer Recommended fluency, category boats, scaled score
cf_boats_percrank Float Recommended fluency boats percentile rank 0 :: 100
cf_boats_range Integer Recommended fluency boats range 1 :: 7 1 = Impaired; 2 = Borderline; 3 = Low Average; 4 = Average; 5 = High Average; 6 = Superior; 7 = Very Superior
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.