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Frequently Asked Questions


NDA Help Center

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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Data Structures with shared data
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Brown's Fourteen Grammatical Morphemes



Brown's Fourteen Grammatical Morphemes

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/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired field
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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
morph_early1_mluString10RecommendedEarly Stage I - MLU
morph_early1_ageIntegerRecommendedEarly Stage I - Age of Mastery Age12::22Age in months
morph_late1_mluString10RecommendedLate Stage I - MLU
morph_late1_ageIntegerRecommendedLate Stage I - Age of Mastery Age22::26Age in months
morph_early2_mluString10RecommendedEarly Stage II - MLU
morph_early2_ageIntegerRecommendedEarly Stage II - Age of Mastery Age27;28Age in months
morph_late2_mluString10RecommendedLate Stage II - MLU
morph_late2_ageIntegerRecommendedLate Stage II - Age of Mastery Age28::30Age in months
morph_early3_mluString10RecommendedEarly Stage III - MLU
morph_early3_ageIntegerRecommendedEarly Stage III - Age of Mastery Age31;32Age in months
morph_late3_mluString10RecommendedLate Stage III - MLU
morph_late3_ageIntegerRecommendedLate Stage III - Age of Mastery Age33;34Age in months
morph_early4_mluString10RecommendedEarly Stage IV - MLU
morph_early4_ageIntegerRecommendedEarly Stage IV - Age of Mastery Age35::37Age in months
morph_late4_mluString10RecommendedLate Stage IV - MLU
morph_late4_ageIntegerRecommendedLate Stage IV - Age of Mastery Age38::40Age in months
morph_early5_mluString10RecommendedEarly Stage V - MLU
morph_early5_ageIntegerRecommendedEarly Stage V - Age of Mastery Age41::46Age in months
morph_late5_mluString10RecommendedLate Stage V - MLU
morph_late5_ageIntegerRecommendedLate Stage V - Age of Mastery Age47::1200Age in months
morph_early6_mluString10RecommendedEarly Stage V+ - MLU
morph_early6_ageIntegerRecommendedEarly Stage V+ - Age of Mastery AgeAge in months
morph_late6_mluString10RecommendedLate Stage V+ - MLU
morph_late6_ageIntegerRecommendedLate Stage V+ - Age of Mastery AgeAge in months
morph_age_pres_progIntegerRecommendedAge of Mastery - Present Progressive - ingAge in months
morph_age_inIntegerRecommendedAge of Mastery - InAge in months
morph_age_onIntegerRecommendedAge of Mastery - OnAge in months
morph_age_reg_pluralIntegerRecommendedAge of Mastery - Regular PluralAge in months
morph_age_irreg_pastIntegerRecommendedAge of Mastery - Irregular PastAge in months
morph_age_possessIntegerRecommendedAge of Mastery - PossessiveAge in months
morph_age_uncon_copIntegerRecommendedAge of Mastery - Uncontractible CopulaAge in months
morph_age_articlesIntegerRecommendedAge of Mastery - ArticlesAge in months
morph_age_reg_pastIntegerRecommendedAge of Mastery - Regular PastAge in months
morph_age_reg_thirdIntegerRecommendedAge of Mastery - Regular Third PersonAge in months
morph_age_irreg_thirdIntegerRecommendedAge of Mastery - Irregular Third PersonAge in months
morph_age_uncon_auxIntegerRecommendedAge of Mastery - Uncontractible AuxiliaryAge in months
morph_age_contract_copIntegerRecommendedAge of Mastery - Contractible CopulaAge in months
morph_age_contract_auxIntegerRecommendedAge of Mastery - Contractible AuxiliaryAge in months
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: morph01 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.