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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

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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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Digit Span Memory Task

pupil_digitspan

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectsubject_id
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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.dob
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fielddate_of_rating
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
dodeString10RecommendedDate of Data Entrydate_of_entry
aescodeIntegerRecommendedStaff code number of person completing this formrater_initials
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form datanotes
version_formString100RecommendedForm used/assessment name
pupil_recordIntegerRecommendedWas the pupil recorded in this trial?0;10 = No; 1 = Yes
trialIntegerRecommendedTrial number0::400; -777; -9991 = first; 2= second; 3=third; 4=fourth; 5=fifth; 6=sixth; etc; -777=NA, -999=missing
ds2aIntegerRecommendedDigit Span: # of correct Digits Recalled out of 2 in Trial A0::2Pupil is recorded while ppt recall digits
ds2bIntegerRecommendedDigit Span: # of correct Digits Recalled out of 2 in Trial B0::2Pupil is recorded while ppt recall digits
ds3aIntegerRecommendedDigit Span: # of correct Digits Recalled out of 3 in Trial A0::3Pupil is recorded while ppt recall digits
ds3bIntegerRecommendedDigit Span: # of correct Digits Recalled out of 3 in Trial B0::3Pupil is recorded while ppt recall digits
ds4aIntegerRecommendedDigit Span: # of correct Digits Recalled out of 4 in Trial A0::4Pupil is recorded while ppt recall digits
ds4bIntegerRecommendedDigit Span: # of correct Digits Recalled out of 4 in Trial B0::4Pupil is recorded while ppt recall digits
ds5aIntegerRecommendedDigit Span: # of correct Digits Recalled out of 5 in Trial A0::5Pupil is recorded while ppt recall digits
ds5bIntegerRecommendedDigit Span: # of correct Digits Recalled out of 5 in Trial B0::5Pupil is recorded while ppt recall digits
ds6aIntegerRecommendedDigit Span: # of correct Digits Recalled out of 6 in Trial A0::6Pupil is recorded while ppt recall digits
ds6bIntegerRecommendedDigit Span: # of correct Digits Recalled out of 6 in Trial B0::6Pupil is recorded while ppt recall digits
ds7aIntegerRecommendedDigit Span: # of correct Digits Recalled out of 7 in Trial A0::7Pupil is recorded while ppt recall digits
ds7bIntegerRecommendedDigit Span: # of correct Digits Recalled out of 7 in Trial B0::7Pupil is recorded while ppt recall digits
ds8aIntegerRecommendedDigit Span: # of correct Digits Recalled out of 8 in Trial A0::8Pupil is recorded while ppt recall digits
ds8bIntegerRecommendedDigit Span: # of correct Digits Recalled out of 8 in Trial B0::8Pupil is recorded while ppt recall digits
ds9aIntegerRecommendedDigit Span: # of correct Digits Recalled out of 9 in Trial A0::9Pupil is recorded while ppt recall digits
ds9bIntegerRecommendedDigit Span: # of correct Digits Recalled out of 9 in Trial B0::9Pupil is recorded while ppt recall digits
max_digit_spanIntegerRecommendedMaximum Digit SpanTest is discontinued after scores of 0 on both trials of an item. Max DS is determined by greatest correct trial number.
ds_effort_mmIntegerRecommendedDigit Span Comprehension: How hard did you try on this task?0::145ppt rate how hard they tried on DS task by marking a scale ranging from "No Effort at all, Did not try" to "My greatest effort, could not try harder". Scale is measured in mm.
ds_taskdiff_mmIntegerRecommendedDigit Span Comprehension: How hard was this task?0::145ppt rate how hard they tried on DS task by marking a scale ranging from "Extremely Easy" to "Extremely Difficult". Scale is measured in mm.
ds_undst_mmIntegerRecommendedDigit Span Comprehension: How well did you understand what you were being asked to do on this task?0::145ppt rate how hard they tried on DS task by marking a scale ranging from "Did not understand at all" to "Understood completely". Scale is measured in mm.
semanticIntegerRecommendedSemantic Fluency: Total number of words
categoryIntegerRecommendedCategory Fluency: Total number of words
ds3cIntegerRecommendedDigit Span: # of correct Digits Recalled out of 3 in Trial C0::3Pupil is recorded while ppt recall digits
ds3dIntegerRecommendedDigit Span: # of correct Digits Recalled out of 3 in Trial D0::3Pupil is recorded while ppt recall digits
ds6cIntegerRecommendedDigit Span: # of correct Digits Recalled out of 6 in Trial C0::6Pupil is recorded while ppt recall digits
ds6dIntegerRecommendedDigit Span: # of correct Digits Recalled out of 6 in Trial D0::6Pupil is recorded while ppt recall digits
ds9cIntegerRecommendedDigit Span: # of correct Digits Recalled out of 9 in Trial C0::9Pupil is recorded while ppt recall digits
ds9dIntegerRecommendedDigit Span: # of correct Digits Recalled out of 9 in Trial D0::9Pupil is recorded while ppt recall digits
max_dsaIntegerRecommendedMaximal Digit Span: Length in Trial APupil is recorded while ppt recall max digits. Span length is based on max_digit_span. Only collected if max_digit_span is not 3 or 6. If 2 good trials, disontinue span.
max_dsbIntegerRecommendedMaximal Digit Span: Length in Trial BPupil is recorded while ppt recall max digits. Span length is based on max_digit_span. Only collected if max_digit_span is not 3 or 6. If 2 good trials, disontinue span.
max_dscIntegerRecommendedMaximal Digit Span: Length in Trial CPupil is recorded while ppt recall max digits. Span length is based on max_digit_span. Only collected if max_digit_span is not 3 or 6. If 2 good trials, disontinue span.
max_dsdIntegerRecommendedMaximal Digit Span: Length in Trial DPupil is recorded while ppt recall max digits. Span length is based on max_digit_span. Only collected if max_digit_span is not 3 or 6. If 2 good trials, disontinue span.
form_completedIntegerRecommendedWas the form completed?1::41=Yes; 2=No; 3=Unverified; 4 = N/A-Not in age rangecompleted
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.

Distribution for DataStructure: pupil_digitspan01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.