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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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Childhood Routines Inventory (CRI)

cri_01

02

Childhood Routines Inventory (CRI), Version 1.2

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_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
informantString20RequiredInformant completing test
Mother;Father;Both Parents;Other;Self
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
cri_q1IntegerRecommendedCRI Q1: Prefers to have things done in a particular order or in a certain way0 :: 5;999999 = Missing value
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired field
cri_q2IntegerRecommendedCRI Q2: Seems very attached to one favorite object0 :: 5;999999 = Missing value
cri_q3IntegerRecommendedCRI Q3: Seems very concerned with dirt, cleanliness or neatness0 :: 5;999999 = Missing value
cri_q4IntegerRecommendedCRI Q4: Arranges objects, or performs certain behaviors until they seem: Just Right'0 :: 5;999999 = Missing value
cri_q5IntegerRecommendedCRI Q5: Has persistent habits0 :: 5;999999 = Missing value
cri_q6IntegerRecommendedCRI Q6: Lines up objects in straight lines or symmetrical patterns0 :: 5;999999 = Missing value
cri_q7IntegerRecommendedCRI Q7: Prefers the same household schedule or routine everyday0 :: 5;999999 = Missing value
cri_q8IntegerRecommendedCRI Q8: Acts out the same thing over and over in pretend play0 :: 5;999999 = Missing value
cri_q9IntegerRecommendedCRI Q9: Insists on having certain belongings around the house: in their place'0 :: 5;999999 = Missing value
cri_q10IntegerRecommendedCRI Q10: Repeats certain actions over and over0 :: 5;999999 = Missing value
cri_q11IntegerRecommendedCRI Q11: Has strong preferences for certain foods0 :: 5;999999 = Missing value
cri_q12IntegerRecommendedCRI Q12: Likes to eat food in a particular way0 :: 5;999999 = Missing value
cri_q13IntegerRecommendedCRI Q13: Seems very aware of, or sensitive to, how certain clothes feel0 :: 5;999999 = Missing value
cri_q14IntegerRecommendedCRI Q14: Has a strong preference for wearing (or not wearinig) certain articles of clothing0 :: 5;999999 = Missing value
cri_q15IntegerRecommendedCRI Q15: Collects or stores objects0 :: 5;999999 = Missing value
cri_q16IntegerRecommendedCRI Q16: Seems very aware of certain details at home (such as flecks of dirt on the floor, imperfections in toys or clothes)0 :: 5;999999 = Missing value
cri_q17IntegerRecommendedCRI Q17: Strongly prefers to stick to one game or activity rather than change to a new one0 :: 5;999999 = Missing value
cri_q18IntegerRecommendedCRI Q18: Makes requests or excuses that would enable him/her to postpone going to bed0 :: 5;999999 = Missing value
cri_q19IntegerRecommendedCRI Q19: Prepares for bedtime by engaging in a special activity or routine by doing or saying things in a certain order or certain way0 :: 5;999999 = Missing value
cri_totalIntegerRequiredCRI Total0 :: 95;999999 = Missing value
cri_q1_ageIntegerRecommendedAge in months Q1 began0 :: 1200
cri_q2_ageIntegerRecommendedAge in months Q2 began0 :: 1200
cri_q3_ageIntegerRecommendedAge in months Q3 began0 :: 1200
cri_q4_ageIntegerRecommendedAge in months Q4 began0 :: 1200
cri_q5_ageIntegerRecommendedAge in months Q5 began0 :: 1200
cri_q6_ageIntegerRecommendedAge in months Q6 began0 :: 1200
cri_q7_ageIntegerRecommendedAge in months Q7 began0 :: 1200
cri_q8_ageIntegerRecommendedAge in months Q8 began0 :: 1200
cri_q9_ageIntegerRecommendedAge in months Q9 began0 :: 1200
cri_q10_ageIntegerRecommendedAge in months Q10 began0 :: 1200
cri_q11_ageIntegerRecommendedAge in months Q11 began0 :: 1200
cri_q12_ageIntegerRecommendedAge in months Q12 began0 :: 1200
cri_q13_ageIntegerRecommendedAge in months Q13 began0 :: 1200
cri_q14_ageIntegerRecommendedAge in months Q14 began0 :: 1200
cri_q15_ageIntegerRecommendedAge in months Q15 began0 :: 1200
cri_q16_ageIntegerRecommendedAge in months Q16 began0 :: 1200
cri_q17_ageIntegerRecommendedAge in months Q17 began0 :: 1200
cri_q18_ageIntegerRecommendedAge in months Q18 began0 :: 1200
cri_q19_ageIntegerRecommendedAge in months Q19 began0 :: 1200
cri_q1_behString20RecommendedCurrently engages Q1 behavior
Yes;No;Unknown
cri_q2_behString20RecommendedCurrently engages Q2 behavior
Yes;No;Unknown
cri_q3_behString20RecommendedCurrently engages Q3 behavior
Yes;No;Unknown
cri_q4_behString20RecommendedCurrently engages Q4 behavior
Yes;No;Unknown
cri_q5_behString20RecommendedCurrently engages Q5 behavior
Yes;No;Unknown
cri_q6_behString20RecommendedCurrently engages Q6 behavior
Yes;No;Unknown
cri_q7_behString20RecommendedCurrently engages Q7 behavior
Yes;No;Unknown
cri_q8_behString20RecommendedCurrently engages Q8 behavior
Yes;No;Unknown
cri_q9_behString20RecommendedCurrently engages Q9 behavior
Yes;No;Unknown
cri_q10_behString20RecommendedCurrently engages Q10 behavior
Yes;No;Unknown
cri_q11_behString20RecommendedCurrently engages Q11 behavior
Yes;No;Unknown
cri_q12_behString20RecommendedCurrently engages Q12 behavior
Yes;No;Unknown
cri_q13_behString20RecommendedCurrently engages Q13 behavior
Yes;No;Unknown
cri_q14_behString20RecommendedCurrently engages Q14 behavior
Yes;No;Unknown
cri_q15_behString20RecommendedCurrently engages Q15 behavior
Yes;No;Unknown
cri_q16_behString20RecommendedCurrently engages Q16 behavior
Yes;No;Unknown
cri_q17_behString20RecommendedCurrently engages Q17 behavior
Yes;No;Unknown
cri_q18_behString20RecommendedCurrently engages Q18 behavior
Yes;No;Unknown
cri_q19_behString20RecommendedCurrently engages Q19 behavior
Yes;No;Unknown
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: cri_0102 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.