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Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions



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Dubowitz Assessment



The score proposed by Dubowitz et al assesses an infant for the apparent gestational age by considering both neurologic and external signs of development

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/biospecimen 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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
dubowitz_neuroIntegerRecommendedDubowitz Score - Neurological Signs0::5
dubowitz_postureIntegerRecommendedDubowitz Score - Posture0::40 = 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
dubowitz_wristIntegerRecommendedDubowitz Score - Square Window (Wrist)0::40 = 90 degrees; 1 = 60 degrees; 2 = 45 degrees; 3 = 30 degrees; 4 = 0 degrees
dubowitz_ankleIntegerRecommendedDubowitz Score - Ankle Dorsiflexion0::40 = 90 degrees; 1 = 75 degrees; 2 = 45 degrees; 3 = 30 degrees; 4 = 0 degrees
dubowitz_armIntegerRecommendedDubowitz Score - Arm Recoil0::20 = 180 degrees; 1 = 90-180 degrees; 2 = Less than 90 degrees
dubowitz_legIntegerRecommendedDubowitz Score - Leg Recoil0::20 = 180 degrees; 1 = 90-180 degrees; 2 = Less than 90 degrees
dubowitz_poplitealIntegerRecommendedDubowitz Score - Popliteal Angle0::50 = 180 degrees; 1 = 160 degrees; 2 = 130 degrees; 3 = 110 degrees; 4 = 90 degrees; 5 = Less than 90 degrees
dubowitz_heel_earIntegerRecommendedDubowitz Score - Heel to Ear0::40 = 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
dubowitz_scarfIntegerRecommendedDubowitz Score - Scarf Sign0::30 = Elbow to opposite axillary line; 1 = Elbow to opposite midclavicular line; 2 = Elbow to midline; 3 = Axillary line
dubowitz_headIntegerRecommendedDubowitz Score - Head Lag0::30 = 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
dubowitz_ventralIntegerRecommendedDubowitz Score - Ventral Suspension0::50 = 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
dubowitz_edemaIntegerRecommendedDubowitz Score - Edema0::20 = Obvious edema of hands and feet pitting over tibia; 1 = No obvious edema of hands and feet pitting over tibia; 2 = No edema
dubowitz_skin_textureIntegerRecommendedDubowitz Score - Skin Texture0::40 = 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
dubowitz_skin_colorIntegerRecommendedDubowitz Score - Skin Color0::30 = Dark red; 1 = Uniformly pink; 2 = Pale pink, variable over body; 3 = Pale, only pink over ears lips palms or soles
dubowitz_skin_opacityIntegerRecommendedDubowitz Score - Skin Opacity0::40 = 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
dubowitz_skin_lanugoIntegerRecommendedDubowitz Score - Lanugo0::40 = 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
dubowitz_plantarIntegerRecommendedDubowitz Score - Plantar Creases0::40 = 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
dubowitz_nippleIntegerRecommendedDubowitz Score - Nipple Formation0::30 = 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
dubowitz_breastIntegerRecommendedDubowitz Score - Breast Size0::30 = 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
dubowitz_ear_formIntegerRecommendedDubowitz Score - Ear Form0::30 = 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
dubowitz_ear_firmnessIntegerRecommendedDubowitz Score - Ear Firmness0::30 = 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
dubowitz_genitals_fIntegerRecommendedDubowitz Score - Genitals Female0::20 = Labia majora widely separated, labia minora protruding; 1 = Labia majora almost cover labia minora; 2 = Labia majora completely cover labia minora
dubowitz_genitals_mIntegerRecommendedDubowitz Score - Genitals Male0::20 = Neither testis in scrotum; 1 = At least one testis high in scrotum; 2 = At least one testis right down
dubowitz_sumIntegerRequiredDubowitz Score - Total0 :: 72
info_gestString50RecommendedNo. 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.

Distribution for DataStructure: dubowitz01 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.