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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
Value Range
Notes
Data Structures with shared data
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Demographics Form Trauma Study

demfts

01

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 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 = Femaledemo_1
demo_2IntegerRecommendedDid you lose consciousness when you were injured?1::3; 99991= Yes; 2= No; 3= Unclear; 9999= no data
demo_3String15RecommendedHow long were you unconscious?
chartreview016bIntegerRecommendedDoes the Patient have insurance?0;1;9; -888; -9990=No; 1=Yes; 9=Not documented; -888=Not Applicable; -999=Missing;demo_4
demo_5IntegerRecommendedInjuries1; 2; 3; 4; 6; 7; 8; 9; 10; 99991= Head (Brain); 2= Face; 3= Neck; 4= Spine; 6= Chest; 7= Abdomen; 8= Pelvis; 9= Upper Extremities; 10= Lower extremities; 9999= no data
demo_6IntegerRecommendedAre you currently employed or in school?0;1; 99991= Yes; 0= No; 9999= no data
demo_7IntegerRecommendedIf you are currently employed and/or in school, please choose all that apply1::4; 99991= Employed Full Time; 2= Employed Part Time; 3= Full Time Student; 4= Part Time Student; 9999= no data
demo_8IntegerRecommendedWhat is the best estimate of the total income of ALL family members from all sources, before taxes, in the last calendar year? (Please choose)1::11; 99991= $0 - $10,000; 2= $10,000 - $20,0000; 3= $20,000 - $30,000; 4= $30,000 - $40,000; 5= $40,000 - $50,000; 6= $50,000 - $60,000; 7= $60,000 - $70,000; 8= $70,000 - $80,000; 9= $80,000 - $90,000; 10= $90,000 - $100, 000; 11= Greater than $100,000; 9999= no data
demo_9IntegerRecommendedDo you have a family history of a formal psychiatric diagnosis or treatment (i.e., anxiety, depression, other?)?0;1; 99991= Yes; 0= No; 9999= no data
diagnosis_psycomString50RecommendedPsychiatric comorbid diagnosesdemo_10
demo_11IntegerRecommendedPsychiatric diagnosis, type of treatment:0::2; 99990= No Treatment; 1= Medication; 2= Psychotherapy; 9999= no data
demo_12String50RecommendedIf prescribed medications for your psychiatric illness, please list type and dose (if you know):
demo_13IntegerRecommendedDo you have a CURRENT diagnosis of chronic pain?0; 1; 99990= No; 1= Yes; 9999= no data
demo_14IntegerRecommendedDo you have a PREVIOUS diagnosis fro chronic pain?0; 1; 99990= No; 1= Yes; 9999= no data
diagnoses_1String100RecommendedList all diagnosis heredemo_15
demo_16IntegerRecommendedMarital status0; 1; 99990= No Committed Relationship; 1= Committed Relationship; 9999= no data
sldifIntegerRecommendedSleep: Difficulty sleeping0;10=No; 1=Yesdemo_17
demo_18IntegerRecommendedSleeping difficulty:1::3; 99991= Falling asleep; 2= Staying asleep; 3= Both; 9999= no data
demo_19IntegerRecommendedDo you have a sleep disorder diagnosis?0; 1; 99990= No; 1= Yes; 9999= no data
demo_20String50RecommendedSleep disorder diagnosis
demo_21IntegerRecommendedRate your sleep quality in the last 24 hours:1::4; 99991= Poor; 2= Fair; 3= Good; 4= Excellent; 9999= no data
demo_22String15RecommendedHow many hours of sleep have you gotten in the last 24 hours?
date_menst_psychhxDateRecommendedFirst date of the last menstrual cycle (females only)demo_23
pre004IntegerRecommendedPregnancy Test Result1;2;9;-91=Positive; 2=Negative; 9=Equivocal; -9=Unknowndemo_24
curr_edu_attainIntegerRecommendedWhat is the highest grade or level of school you have completed or the highest degree you have received? PX011001_Current_Educational_Attainment0::21;77;990=Never Attended/Kindergarten only; 1=1st Grade; 2=2nd Grade; 3=3rd Grade; 4=4th Grade; 5=5th Grade; 6=6th Grade; 7=7th Grade; 8=8th Grade; 9=9th Grade; 10=10th Grade; 11=11th Grade; 12=12th Grade; 13=High School Graduate; 14=GED or Equivalent; 15=Some College, no degree; 16=Associate Degree: occupational, technical, or vocational; 17=Associate degree: Academic program; 18=Bachelor's degree (Example: BA,AB,BS,BBA); 19=Master's Degree (Example: MA,MS,MEng,MEd, MBA); 20=Professional School Degree (Example: MD,DDS,DVM,JD); 21=Doctoral Degree (Example: PhD, EdD); 77=Refused; 99=Don;t Knowdemo_25
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: demfts01 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.