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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.

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Description
Value Range
Notes
Data Structures with shared data
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Brown Assessment of Beliefs Scale

babs

01

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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
bkgrnd_diagString255RecommendedDiagnosis
strtx1String250RecommendedTreatment received
beliefString500RecommendedDescribe principal belief(s) during the past week:
convictionIntegerRecommendedConviction: How convinced are you of these ideas/beliefs? Are you certain your ideas/beliefs are accurate?0::40 = Completely convinced beliefs are false (0% certainty); 1 = Beliefs are probably not true, or substantial doubt exists; 2 = Beliefs may or may not be true, or unable to decide whether beliefs are true or not; 3 = Fairly convinced that beliefs are true but an element of doubt exists; 4 = Completely convinced about the reality of held beliefs (100% certainty)
perceptionIntegerRecommendedPerception of others' views of beliefs: What do you think other people (would) think of your beliefs? How certain are you that most people think your beliefs make sense?0::40 = Completely certain that most people think these beliefs are unrealistic; 1 = Fairly certain that most people think these beliefs are unrealistic; 2 = Others may or may not think beliefs are unrealistic, or uncertain about others' views concerning these beliefs; 3 = Fairly certain that most people think these beliefs are realistic; 4 = Completely certain that most people think these beliefs are realistic
explanationIntegerRecommendedExplanation of differing views: How do you explain the difference between what you think and what others think about the accuracy of your beliefs?0::40 = Completely certain that beliefs are unrealistic or absurd; 1 = Fairly certain that beliefs are unrealistic; 2 = Uncertain about why others don't agree - beliefs may be unrealistic OR others may be wrong; 3 = Farily certain that beliefs are true, view of others is less accurate; 4 = Completely certain that beliefs are true, view of others is not accurate
fixityIntegerRecommendedFixity of ideas: If I were to question/challenge the accuracy of your beliefs, what would your reaction be? Could I convince you that you're wrong?0::40 = Eager to consider the possiblity that beliefs may be false; demonstrates no reluctance to entertain this possibility; 1 = Easily willing to consider the possiblity that beliefs may be false, reluctance to do so is minimal; 2 = Somewhat willing to consider the possbility that beliefs may be false, but moderate resistance is present; 3 = Clearly reluctant to consider the possbility that beliefs may be false, reluctance is significant; 4 = Absolutely refuses to consider the possiblity that beliefs may be false-i.e., beliefs are fixed
disproveIntegerRecommendedAttempt to disprove ideas. How actively do you try to disprove or reject your ideas/beliefs? How much of an effort do you make to convince yourself that your beliefs are inaccurate?0::40 = Always involved in trying to disprove beliefs, or not necessary to disprove because beliefs are not true; 1 = Usually tries to disprove beliefs; 2 = Sometimes tries to disprove beliefs; 3 = Occasionally attempts to disprove beliefs; 4 = Makes no attempt to disprove beliefs
insightfulIntegerRecommendedInsight. What do you think has caused you to have these beliefs? Do they have a psychiatric (or psychological) cause, or are they actually true?0::40 = Beliefs definitely have a psychiatric/psychological cause; 1 = Beliefs probably have a psychiatric/psychological cause; 2 = Beliefs possibly have a psychiatric/psychological cause; 3 = Beliefs probably do not have a psychiatric/psychological cause; 4 = Beliefs definitely do not have a psychiatric/psychological cause
idorIntegerRecommendedIdeas/Delusions Of Reference: Does it ever seem that people are talking about you or taking special notice of you because of your belief?0::40 = No, others definitely do not take special notice of me; 1 = Others probably do not take special notice of me; 2 = Others may or may not take special notice of me; 3 = Others probably do take special notice of me; 4 = Others definitely do take special notice of me. Additional item (Do not include in total score)
babs_totalIntegerRecommendedTotal BABS scoreSum of Questions 1 - 6
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: babs01 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.