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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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Clinical Assessments
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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. child_age
sex String 20 Required Sex of the subject
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported child_gender, gender
version_form String 121 Recommended Form used/assessment name
relationship Integer Recommended Relationship of respondent to individual
1 = Biological mom; 2 = Biological dad; 3 = Grandparent; 4 = Special education (sped) teacher; 5 = General education teacher; 6 = Occupational therapist; 7 = Speech and language therapist; 8 = Behavioral therapist; 9 = Paraprofessional; 10 = Aide; 11 = Principal; 12 = Administrator; 13 = 90=Other; 14 = Content teacher; 15 = Parent center director; 16 = Self; 17=Adoptive mother; 18=Adoptive father; 19=Foster mother; 20 = Foster father; 21=Grandmother; 22=Grandfather; 23=Step-mother; 24 = Step-father; 25=Aunt; 26=Uncle; 27=Missing Data; 28=Both parents;31= Grandmother from mother side; 32= Grandfather from mother side; 33= Grandmother from father side; 34= Grandfather from father side; 36= Brother; 37= Sister; 38= Cousin; 39= female caregiver; 40=male caregiver; 41=Female child; 42=Male child; 43=Spouse/Mate; 44=Friend; 45=Parent; 46=Significant other; 47=Sibling; 48=Son/Daughter; 49=Son-in-law/Daughter-in law; 50=Other Relative; 51=Paid caregiver; 52=Friends; 53=Roommate; 54=Supervisor; 55=mother's boyfriend; 56=other parental figure; 57=Summary; 58=counselor ; 59 = other female relative; 60 = other male relative; 61 = non-relative ; 62=Maternal Aunt; 63=Maternal Uncle; 64=Maternal Cousin; 65 = Paternal Aunt; 66=Paternal Uncle; 67=Paternal Cousin ; 68=Biological/Adoptive Mother and Grandmother; 69=Biological/Adoptive Mother and Stepmother and Grandmother; 70=Biological/Adoptive Mother and Grandmother and Foster Father; 71=Biological/Adoptive Mother and Stepmother and Foster Mother; 72=Biological/Adoptive Mother and Foster Mother; 73=Biological/Adoptive Mother and Biological/Adoptive Father; 74=Biological/Adoptive Mother and Stepmother and Biological/Adoptive Father; 75=Biological/Adoptive Mother and Other; 76=Biological/Adoptive Mother and Stepmother and Stepfather; 77=Biological/Adoptive Mother and Stepfather; 78=Biological/Adoptive Mother and Grandfather; 79=Biological/Adoptive Mother and Stepmother and Foster Father; 80=Biological/Adoptive Mother and Stepmother; 81=Guardian, female; 82=Other female; 83=Guardian, male; 84=Other male; 85=Other/Grandparent/Nanny; 86 = Mother, Father, Guardian; 87 = Daughter, son, grandchild; 88 = Professional (e.g., social worker, nurse, therapist, psychiatrist, or group home staff); -999=Missing; 89 = Biological parent; 91 = Stepparent; 92 = Adoptive parent; 93 = Foster parent resp_rel
resp_rel_other String 100 Recommended If not already listed, what is your relationship to the child?
resp_gender String 2 Recommended What is your gender?
resp_age Integer Recommended Respondent's age 0::1200 In months
resp_religion Integer Recommended What is your religion?
1 = Catholic; 2 = Protestant; 3 = Muslim; 4 = Born-again/Saved; 5 = None; 6 = Other (specify)
resp_religion_other String 100 Recommended If not already listed, what is your religion?
child_religion Integer Recommended What is child's religion? 1::6 1 = Catholic; 2 = Protestant; 3 = Muslim; 4 = Born-again/Saved; 5 = Not religious; 6 = Other (specify)
religion_spec String 50 Recommended Specify child's religion, if 'other'
mother_alive Integer Recommended Is your biological mother still alive? 0;1;3 0 = No; 1 = Yes; 3 = Unknown
father_alive Integer Recommended Is your biological father still alive? 0;1;3 0 = No; 1 = Yes; 3 = Unknown
stay_with String 100 Recommended Who does child stay with at home?
num_clothes Integer Recommended How many sets of clothes do you have? 0::3 0 = None; 1 = One; 2 = Two; 3 = More than two
num_shoes Integer Recommended How many pairs of shoes do you have? 0::3 0 = None; 1 = One pair; 2 = Two pairs; 3 = More than two pairs
own_blanket Integer Recommended Do you have your own blanket? 0;1 0 = No; 1 = Yes
wk_meat Integer Recommended In last week how often did you eat meat or fish? 0::4 0 = None; 1 = Once; 2 = Twice; 3 = Three times; 4 = Every day
wk_meals Integer Recommended In the last 7 days, what is the average number of meals (solid food) you would take per day? 0::3 0 = None; 1 = One; 2 = Two; 3 = Three
wk_sugar Integer Recommended In the last 7 days, how many times did you drink tea with sugar? 0::4 0 = None; 1 = One; 2 = Two; 3 = Three; 4 = Every day
breakfast_today String 200 Recommended Thinking about today, what did you have for breakfast today?
house_elec Integer Recommended Does the house you live in have electricity?
0 = No; 1 = Yes
wrkfrpay Integer Recommended Work for Pay? 0;1; 9 0=No; 1=Yes; 9=NK work_pay
work_pay_sal String 200 Recommended What do you get in return for your work?
work_school_freq String 200 Recommended How often did you work in the last school term?
saving Integer Recommended Do you save money anywhere? 0;1 0 = No; 1 = Yes
saving_where String 100 Recommended If you save money, where?
saving_cg Integer Recommended Do you know whether your parents/caregivers/guardians are saving for you? 0;1 0 = No; 1 = Yes
saving_cg_where String 100 Recommended If your parents/caregivers/guardians are saving for you, where?
child_livewith Float Recommended For how long has the child lived with you? Record in years
children_school Integer Recommended How many of the children in the household, age five and older, attend school? Number of children in school
children_noschool Integer Recommended How many of the children in the household, age five and older, DO NOT attend school? Number of children not in school
cbc_vii_1 String 500 Recommended Reason for Child not to Attend School children_noschool_why
num_female Integer Recommended How many female adults reside in the child's home?
num_male Integer Recommended How many male adults reside in the child's home?
num_under18 Integer Recommended How many children under 18 years reside in the home (including child being evaluated)?
primary_cg Integer Recommended Who is the child's primary caregiver?
1 = Mother; 2 = Father; 3 = Grandparent; 4 = Mother & Father; 5=Other (specify)
primary_cg_spec Integer Recommended If not already listed, who is the child's primary caregiver?
food_risk Integer Recommended Within the past 12 months, how often were you worried whether food would run out before you got money to buy more?
1 = Most of the time; 2 = Sometimes; 3 = Never
food_exhausted Integer Recommended Within the past 12 months, how often did the food not last and you didn't have money to get more?
1 = Most of the time; 2 = Sometimes; 3 = Never
observance_freq Integer Recommended How often do you go to Church/Mosque?
1 = Almost every week; 2 = Less than once a week, but more than just on holidays (e.g., Christmas, Easter); 3 = Just on holidays; 4 = Almost never
fsprels Integer Recommended Which category best describes your current relationship status?
1= Single/never married; 2= Married; 3= Living together; 4= Domestic partnership; 5= Separated; 6= Divorced; 7= Widowed; 8= Engaged; 9=Other resp_relstatus
resp_relstatus_other String 300 Recommended If not already listed, what is your relationship status?
resp_edu Integer Recommended What is the highest level of education you have attained?
1 = Primary; 2 = Lower Secondary (S1-S4); 3 = Upper Secondary (S5-S6); 4 = Some College/Certificate; 5 = Diploma; 6 = Vocational/Trade School; 7 = Bachelor's degree; 8 = Some Graduate or Professional School; 9 = Completed Graduate or Professional School
demo_caregiver_employ Integer Recommended Caregiver's current employment status
1= Not employed/Stay-at-home parent ; 2= Self-employed part-time ; 3= Self-employed full time ; 4= Employed part-time ; 5= Employed full-time ; 6= Employed full-time and second job ; 97= Don't know ; 7 = Self-employed; 8 = Student; 9 = Retired; 10 = Unemployed; 11 = Other resp_occu
resp_occu_other String 100 Recommended If not already listed, what is your employment status?
resp_support Integer Recommended Do you financially support your family?
0 = No; 1 = Yes
resp_support_else Integer Recommended Does someone else (apart from yourself) financially support your family?
0 = No; 1 = Yes
resp_support_else_y String 100 Recommended If someone else (apart from yourself) financially supports your family, specify relationship
resp_support_else_occu Integer Recommended Is the other person financially supporting your family currently employed?
0 = No; 1 = Yes
resp_support_else_occu_y String 100 Recommended If the other person financially supporting your family is employed, then what does she/he (you) do?
fin_08 Integer Recommended During the last 7 days did every member of the household have tea with sugar at home? 0::3 3 = Yes all; 2 = Adults only; 1 = Children only; 0 = None
fin_09 String 100 Recommended If you save money anywhere, approximately how much do you have saved?
fin_10 String 100 Recommended If you save money anywhere, what will you use your savings for?
fin_11 String 100 Recommended If you save money anywhere, are you saving any money for the child enrolled in the study?
fin_01 Integer Recommended Please tell me if you own these items by stating yes or no. 0;1 1 = Yes; 0 = No. House, Rental property/mizigo gya bapangisa, Land/ekibanja, Bicycle, Motorcycle/boda boda, Car, Banana garden, Coffee garden, Sweet potato garden, Cassava Garden, Other gardens (e.g., with beans, maize, greens, etc), Cow (s), Goat (s), Pig (s), Poultry (for sale), Any other animals, A small business/retail store/shop/kiosk, radio
fin_02 Integer Recommended What kind of house do you live in? 1::5 5 = Brick house with iron sheets and cemented floors; 4 = Brick house with iron sheets but not cemented floors; 3 = Mud House; 2 = Hut; 1 = Muzigo
fin_03 Integer Recommended Does every member of your household have at least two sets of clothes? 0;1 1 = Yes; 0 = No
fin_04 Integer Recommended Does every child in your household (i.e. all those under 18 years) have a blanket? 0;1 1 = Yes; 0 = No
fin_05 Integer Recommended Does every member of your household have at least one pair of shoes? 0;1 1 = Yes; 0 = No
fin_06 Integer Recommended Within the last 7 days, did your household run out of salt? 0;1 1 = Yes; 0 = No
fin_07 Integer Recommended Within the last 7 days, did your household run out of sugar? 0;1 1 = Yes; 0 = No
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.