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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR 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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Selected Filters
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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Description
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Notes
Data Structures with shared data
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Carolina Curriculum for Infants and Toddlers with Special Needs, Third Edition

ccitsn

01

The Carolina Curriculum for Infants and Toddlers with Special Needs, Third Edition (CCITSN)

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotes
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 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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
ccitsn01String5Recommended1. Self-Regulation and Responsibility
ccitsn02String5Recommended2. Interpersonal Skills
ccitsn03String5Recommended3. Self-Concept
ccitsn04iString5Recommended4-I. Self Help: Eating
ccitsn04iiString5Recommended4-II. Self-Help: Dressing
ccitsn04iiiString5Recommended4-III. Self-Help: Grooming
ccitsn04ivString5Recommended4-IV. Self-Help: Toileting
ccitsn05String5Recommended5. Attention & Memory: Visual/Spatial
ccitsn06iString5Recommended6-I. Visual Perception: Blocks & Puzzles
ccitsn06iiString5Recommended6-II. Visual Perception: Matching & Sorting
ccitsn07String5Recommended7. Functional Use of Objects & Symbolic Play
ccitsn08String5Recommended8. Problem Solving/Reasoning
ccitsn09String5Recommended9. Number Concepts
ccitsn10String5Recommended10. Concepts/Vocabulary: Receptive
ccitsn11String5Recommended11. Concepts/Vocabulary: Expressive
ccitsn12String5Recommended12. Attention & Memory: Auditory
ccitsn13String5Recommended13. Verbal Comprehension
ccitsn14String5Recommended14. Conversation Skills
ccitsn15String5Recommended15. Grammatical Structure
ccitsn16String5Recommended16. Imitation: Vocal
ccitsn17String5Recommended17. Imitation: Motor
ccitsn18String5Recommended18. Grasp & Manipulation
ccitsn19String5Recommended19. Bilateral Skills
ccitsn20String5Recommended20. Tool Use
ccitsn21String5Recommended21. Visual-Motor Skills
ccitsn22iString5Recommended22-I. Upright: Posture & Locomotion
ccitsn22iiString5Recommended22-II. Upright: Balance
ccitsn22iiiString5Recommended22-III. Upright: Ball Play
ccitsn22ivString5Recommended22-IV. Upright: Outdoor Play
ccitsn23String5Recommended23. Prone (on Stomach)
ccitsn24String5Recommended24. Supine (on Back)
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: ccitsn01 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.