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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

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Data Structures with shared data
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ACE Subject Physical Exam



ACE Subject Physical Exam Form

Download Definition as
Download Submission Template as
PDF file iconACE Subject Physical Exam Form.pdf
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*GUID
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.
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired field
genderString20RequiredSex of the subjectM;FM = Male; F = Female
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
height_metFloatRecommendedHeight - Metric Unit
weight_metFloatRecommendedWeight - Metric Unit
head_circumFloatRecommendedHead Circumference (in cm)-1 = Not known
head_facialaString50RecommendedFacial Asymmetry
NK = Not knownCharge_physicalexam_head_faciala
facial_dysmorpString10RecommendedAre there dysmorphic facial features (e.g. eyes too closely or widely spaced, ears lowset)?Yes;No;NKNK = Not known
child_visionimpString50RecommendedDoes the Child have a vision impairment?
Yes;No; NK
NK = Not known
eye_correctIntegerRecommendedIf yes, is there any correction/what kind?1;21=Glasses or Corrective lens; 2=Surgery
child_hearingimpString50RecommendedDoes the Child have a hearing impairment?
Yes;No; NK
NK = Not known
hear_corr_typeIntegerRecommendedIf yes, is there any correction/what kind1;21 = Hearing aids; 2 = Cochlear implants
eye_movString10RecommendedAre the eye movements full and symmetric?Yes;No;NK
eyes_strabismusString50RecommendedStrabismusYes; No; NK (not known/not examined)
NK = Not knownCharge_physicalexam_eyes_nystagmus
NK = Not knownCharge_physicalexam_eyes_ptosis
medprob_earString50RecommendedEars: Is there any known abnormality in this area?
NK = Not known
ear_ab_typeString50RecommendedIf yes, how do they appear?Cupped; Prominent; Lowset; Tags
jaw_abString10RecommendedDoes the jaw appear abnormal?Yes;No;NKNK = Not known
rev_mouthcleftlipString50RecommendedIs there a cleft lip and/or cleft palate?
NK = Not known
neck_webbedString50RecommendedIs the neck short and/or webbed?
NK = Not knownCharge_physicalexam_neck_webbed
neck_pectString10RecommendedIs there a pectus deformity (breastbone scooped in or prominent)?Yes;No;NKNK = Not known
neck_scoliosisString50RecommendedIs there scoliosis (curvature of the spine)?
NK = Not knownCharge_physicalexam_neck_scoliosis
cardio_murmurString50RecommendedIs there a heart murmur or abnormal heart examination?
NK = Not knownCharge_physicalexam_cardio_murmur
abdomen_hepatomString50RecommendedIs there evidence of hepato(spleno)megaly (large liver or spleen)?
NK = Not known
genit_examString10RecommendedIs the genital exam abnormal?Yes;No;NKNK = Not known
genit_exam_specIntegerRecommendedIf yes, what findings?1::61 = Hypospadias; 2 = Cryptorchidism; 3 = Enlarged testicles; 4 = Micropenis; 5 = Hypoplastic labia; 6=other
limb_abnorString10RecommendedAre there any digital abnormalities (extra or missing fingers or toes)?Yes;No;NKNK = Not known
limb_abnor_detIntegerRecommendedIf yes, what findings?1::51 = Extra fingers; 2 = Missing fingers; 3= Extra toes; 4 = Missing toes; 5 = Fused digits
limb_joint_loosString10RecommendedAre joints excessively loose?Yes;No;NKNK = Not known
limb_jointlimitationsString50RecommendedAre there joint contractures?
NK = Not knownCharge_physicalexam_limb_jointlimitations
skin_hypopigmenString50RecommendedAre there areas of hypopigmentation (ash-leaf spots)?
NK = Not knownCharge_physicalexam_skin_hypopigmen
skin_hyperpigString50RecommendedAre there areas of hyperpigmentation (cafe-au-lait spots)?
NK = Not knownCharge_physicalexam_skin_hyperpig
skin_freckString10RecommendedAre there freckles under the arms and/or groin area?Yes;No;NKNK = Not known
skin_neurofibString50RecommendedAre there neurofibromas (bumps under the skin, sometimes with a bluish tinge)?
NK = Not knownCharge_physicalexam_skin_neurofib
skin_abnormString10RecommendedAny other skin abnormalities?Yes;No;NKNK = Not knownCharge_physicalexam_skin_comments
hypotoniaIntegerRecommendedDoes (did) the Child have Hypotonia (low muscle tone)?0;1;20 = No; 1 = Yes; 2 = Not known
hypertoniaIntegerRecommendedDoes (did) the Child have Hypertonia (tight muscle tone)?0;1;20 = No; 1 = Yes; 2 = Not known
muscle_strengString10RecommendedIs muscle strength abnormal?Yes;No;NKNK = Not known
muscle_streng_detIntegerRecommendedIf yes, what findings1;21 = Generalized weakness; 2 = Focal weakness
gait_ataxString10RecommendedIs there evidence of poor coordination or gait ataxia (difficulty walking straight)?Yes;No;NKNK = Not known
neuro_involunmoveString50RecommendedAre there any involuntary movements?
NK = Not knownCharge_physicalexam_neuro_involunmove
cran_nervString10RequiredAre the cranial nerves normal (do face, tongue and palate move normally)?Yes;No;NKNK = Not known
sens_examString10RecommendedIs sensory exam normal?Yes;No;NKNK = Not known
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: ace_physexam01 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.