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Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR"  when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters). Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects. 

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access.  Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA).  Without access, you will not be able to obtain individual-level data. 

    Once you have selected data of interest you can:
  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release. 
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected.  Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the fliter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

    Please Note:
  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time. 
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures. 
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.

Frequently Asked Questions

  • The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned.  Adding multiple filters to the cart, regardless of type, will AND the result of each filter.  If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in  BOTH 1 AND 2.

  • Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.

  • After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.


  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace. 


Reset Password

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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Dubowitz Assessment

0 Shared Subjects

The score proposed by Dubowitz et al assesses an infant for the apparent gestational age by considering both neurologic and external signs of development
Clinical Assessments
Phys Characteristics
View Change History
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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.
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query dubowitz_neuro Integer Recommended Dubowitz Score - Neurological Signs 0::5
Query dubowitz_posture Integer Recommended Dubowitz Score - Posture 0::4 0 = Wrists, arms, hips, and legs straight; 1 = Wrists bent and legs slightly bent; 2 = Elbows, hips, and legs bent but do not reach 90 degrees; 3 = Elbows, hips, and legs bent to 90 degrees; 4 = Elbow and legs drawn close to body
Query dubowitz_wrist Integer Recommended Dubowitz Score - Square Window (Wrist) 0::4 0 = 90 degrees; 1 = 60 degrees; 2 = 45 degrees; 3 = 30 degrees; 4 = 0 degrees
Query dubowitz_ankle Integer Recommended Dubowitz Score - Ankle Dorsiflexion 0::4 0 = 90 degrees; 1 = 75 degrees; 2 = 45 degrees; 3 = 30 degrees; 4 = 0 degrees
Query dubowitz_arm Integer Recommended Dubowitz Score - Arm Recoil 0::2 0 = 180 degrees; 1 = 90-180 degrees; 2 = Less than 90 degrees
Query dubowitz_leg Integer Recommended Dubowitz Score - Leg Recoil 0::2 0 = 180 degrees; 1 = 90-180 degrees; 2 = Less than 90 degrees
Query dubowitz_popliteal Integer Recommended Dubowitz Score - Popliteal Angle 0::5 0 = 180 degrees; 1 = 160 degrees; 2 = 130 degrees; 3 = 110 degrees; 4 = 90 degrees; 5 = Less than 90 degrees
Query dubowitz_heel_ear Integer Recommended Dubowitz Score - Heel to Ear 0::4 0 = Leg straight, toes reach ear; 1 = Legs straight, toes reach chin; 2 = Knee slightly bent, heel reaches 140 degrees from prone; 3 = Knee bent, heel reaches 120 degrees from prone; 4 = Knee bent to 90 degrees, heel reaches 90 degrees from prone
Query dubowitz_scarf Integer Recommended Dubowitz Score - Scarf Sign 0::3 0 = Elbow to opposite axillary line; 1 = Elbow to opposite midclavicular line; 2 = Elbow to midline; 3 = Axillary line
Query dubowitz_head Integer Recommended Dubowitz Score - Head Lag 0::3 0 = Head lags without forward movement at 90 degrees to body axis; 1 = Head slightly forward but does not reach body axis; 2 = Head in line with body axis; 3 = Head bent forward beyond body axis
Query dubowitz_ventral Integer Recommended Dubowitz Score - Ventral Suspension 0::5 0 = Head droops down and back greatly arched, arms and legs straight; 1 = Head slightly raised and back less curved; 2 = Head raised but not to body axis, back slightly curved; 3 = Head in line with body axis, back straight; 4 = Head raised above body axis, back straight
Query dubowitz_edema Integer Recommended Dubowitz Score - Edema 0::2 0 = Obvious edema of hands and feet pitting over tibia; 1 = No obvious edema of hands and feet pitting over tibia; 2 = No edema
Query dubowitz_skin_texture Integer Recommended Dubowitz Score - Skin Texture 0::4 0 = Very thin, gelatinous; 1 = Thin and smooth; 2 = Smooth, medium thickness, rash or superficial peeling; 3 = Slight thickening, superficial cracking, and peeling especially of hands and feet; 4 = Thick and parchment-like superficial or deep cracking
Query dubowitz_skin_color Integer Recommended Dubowitz Score - Skin Color 0::3 0 = Dark red; 1 = Uniformly pink; 2 = Pale pink, variable over body; 3 = Pale, only pink over ears lips palms or soles
Query dubowitz_skin_opacity Integer Recommended Dubowitz Score - Skin Opacity 0::4 0 = Numerous veins/venules seen especially over abdomen; 1 = Veins and tibutaries seen; 2 = Few large vessels seen over the abdomen; 3 = Few large vessels indistinctly over the abdomen; 4 = No blood vessels seen
Query dubowitz_skin_lanugo Integer Recommended Dubowitz Score - Lanugo 0::4 0 = None; 1 = Abundant, long and thick over whole back; 2 = Hair thinning especially over lower back; 3 = Small amount of lanugo and bald areas; 4 = At least half of back devoid of lanugo
Query dubowitz_plantar Integer Recommended Dubowitz Score - Plantar Creases 0::4 0 = No skin creases; 1 = Faint red marks over anterior half of sole; 2 = Definite red marks over more than anterior 1/3; 2 = Indentations over more than anterior 1/3; 4 = Definite deep indentations over more than anterior 1/3
Query dubowitz_nipple Integer Recommended Dubowitz Score - Nipple Formation 0::3 0 = Nipple barely visible, no areola; 1 = Nipple well defined and areola smooth and flat; 2 = Areola stippled edge, not raised; 3 = Areola stippled edge, raised diameter
Query dubowitz_breast Integer Recommended Dubowitz Score - Breast Size 0::3 0 = No breast tissue palpable; 1 = Breast tissue more than half cm diameter; 2 = Breast tissue 1/2 to 1 cm; 3 = Breast tissue greater than 1 cm
Query dubowitz_ear_form Integer Recommended Dubowitz Score - Ear Form 0::3 0 = Pinna flat and shapeless; 1 = Incurving of part of edge of pinna; 2 = Partial incurving whole of upper pinna; 3 = Well-defined incurving of whole of upper pinna
Query dubowitz_ear_firmness Integer Recommended Dubowitz Score - Ear Firmness 0::3 0 = Pinna soft easily folded no recoil; 1 = Pinna soft easily folded slow recoil; 2 = Cartilage to edge of pinna but soft in places, ready recoil; 3 = Pinna firm cartilage to edge instant recoil
Query dubowitz_genitals_f Integer Recommended Dubowitz Score - Genitals Female 0::2 0 = Labia majora widely separated, labia minora protruding; 1 = Labia majora almost cover labia minora; 2 = Labia majora completely cover labia minora
Query dubowitz_genitals_m Integer Recommended Dubowitz Score - Genitals Male 0::2 0 = Neither testis in scrotum; 1 = At least one testis high in scrotum; 2 = At least one testis right down
Query dubowitz_sum Integer Required Dubowitz Score - Total 0 :: 72
info_gest String 50 Recommended No. Weeks Gestation (G.A.)
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.