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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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Brief Adherence Rating Scale

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01

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Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectbid
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
visdayIntegerRecommendedNumber of days from study baseline to date of visitbara0b
bara1IntegerRecommendedIn the past month, has the patienIt lived in the community (i.e., not hospitalized, or in day treatment)?0;11=Yes; 0=No; If no, go to Item 5
medication1_nameString100RecommendedName first medication that the participant has taken999= Legitimately skipped;bara2a
bara2bIntegerRecommendedHow many pills of did the doctor tell you to take each day?
bara2cIntegerRecommendedOver the past month, on how many days did you NOT TAKE (Name of first antipsychotic)?1::41=Few, if any (<7); 2=7-13; 3=14-20; 4=Most (>20)
bara2dIntegerRecommendedOver the past month, how many days did you TAKE LESS THAN the prescribed number ofpills of (Name of first antipsychotic)?1::41=Always/Almost Always (76-100% of the time (poor adherence); 2=Usually (51-75% of the time); 3=Sometimes (26-50% of the time); 4= Never/Almost Never (0-25$ of the time) (food adherence)
bara3IntegerRecommendedHas the patient been prescribed a 2nd antipsychotic?0;11=Yes; 0=No; If no, go to Item 4
medication2_nameString100RecommendedName second medication that the participant has taken999= Legitimately skipped;bara3a
bara3bIntegerRecommendedHow many pills did the doctor tell you to take each day?
bara3cIntegerRecommendedOver the past month, on how many days did you NOT TAKE (Name of second antipsychotic)?1::41=Few, if any (<7); 2=7-13; 3=14-20; 4=Most (>20)
bara3dIntegerRecommendedOver the past month, how many days did you TAKE LESS THAN the prescribed number o fpills of (Name of second antipsychotic)?1::41=Always/Almost Always (76-100% of the time (poor adherence); 2=Usually (51-75% of the time); 3=Sometimes (26-50% of the time); 4= Never/Almost Never (0-25$ of the time) (food adherence)
bara4IntegerRecommendedPlease place a single vertical line on the dotted line below that you believe best describes, out of the total # of prescribed antipsychotic medication doses, the proportion of doses taken by the patient in the past month.0::100Measured in persentages. How to calculate percent taken: Number taken divided by number of chances Example 1: If patient takes 1 pill a day, then you divide number taken by 30 Example 2: If patient takes 2 pills a day, then you divide number taken by 60
version_formString100RecommendedForm used
visitidIntegerRecommendedMetaTrial Visit IDSystem variable: unique code for each type of visit -use to merge files
fseqnoIntegerRecommendedSequence Number0::999The FSEQNO variable in the ADJ form has a special interpretation compared to other forms. For example, ADJ FSEQNO of '1' can be thought of as being '001', FSEQNO of '2' can be thought of as being '002', and FSEQNO of '3' can be thought of as being '003'. The first digit of FSEQNO relates to the corresponding ENF sequence number at that visit and the third digit relates to the specific adjudicator who completed the adjudication form.
scid18IntegerRecommendedHave you ever been prescribed an antipsychotic medication?0;1; 9990 = No; 1 = Yes; 999 = Legitimately Skippedbara2
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: bars01 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.