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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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Educational History Interview

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Educational History Interview
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.
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
ehi01 String 100 Recommended What is your educational background?
ehi02 String 100 Recommended What are you currently reading for enjoyment?
ehi03 String 100 Recommended What do you want to be doing in five years?
ehi04 String 100 Recommended List five adjectives that describe yourself.
ehi05 String 100 Recommended What is one of your weaknesses, and how are you working to improve it?
ehi06 String 100 Recommended What interests do you pursue outside of the classroom?
ehi07 String 100 Recommended To what teams and/or clubs did you belong as a student?
ehi08 String 100 Recommended What activities might you coach or advise as a member of the teaching staff?
ehi09 String 100 Recommended When did you decide to become a teacher, and why did you choose this field?
ehi10 String 100 Recommended Why do you want to teach at the level?
ehi11 String 100 Recommended What personal strengths do you find especially helpful in your teaching?
ehi12 String 100 Recommended What is your favorite subject to teach? Why?
ehi13 String 100 Recommended What is your least favorite subject, and how do you overcome your indifference toward it to teach it well?
ehi14 String 100 Recommended What do you like most about teaching as a career?
ehi15 String 100 Recommended What is your least favorite aspect of teaching?
ehi16 String 100 Recommended What is your philosophy of education?
ehi17 String 100 Recommended What role do standards play in your classroom?
ehi18 String 100 Recommended Describe your teaching style.
ehi19 String 100 Recommended How do you organize your classroom?
ehi20 String 100 Recommended How do you structure your time to manage all of the duties associated with teaching?
ehi21 String 100 Recommended What is the greatest success you have had in teaching?
ehi22 String 100 Recommended What do you think is the greatest challenge facing students today?
ehi23 String 100 Recommended What is the most difficult aspect of teaching today?
ehi24 String 100 Recommended What are the qualities of an excellent teacher?
ehi25 String 100 Recommended Describe the "worst" lesson you have taughtWhat did you learn from it?
ehi26 String 100 Recommended What is your approach to classroom management?
ehi27 String 100 Recommended What role have parents played in your classroom?
ehi28 String 100 Recommended How do you motivate your students to become active learners in your classroom? (Or: How do you encourage class participation?)
ehi29 String 100 Recommended Tell us about a troubling student you have taught and how you helped him or her.
ehi30 String 100 Recommended Describe your best professional development experience.
ehi31 String 100 Recommended Describe your ideal lesson.
ehi32 String 100 Recommended Describe your planning process for a major project or unit.
ehi33 String 100 Recommended How have you integrated technology into your teaching instruction?
ehi34 String 100 Recommended What plans do you have for the integration of technology in your own classroom?
ehi35 String 100 Recommended What experience have you had with team-teaching? What is your opinion of it?
ehi36 String 100 Recommended How have and will you address your students' different learning styles?
ehi37 String 100 Recommended How do the assignments you give offer students the opportunity to express their creativity and individuality?
ehi38 String 100 Recommended How do you modify your teaching to reach students who are struggling to perform at grade level?
ehi39 String 100 Recommended How do you provide support for students with exceptional ability?
ehi40 String 100 Recommended What would you tell your incoming class in a "back-to-school" letter at the start of a new school year?
ehi41 String 100 Recommended How would you deal with a student who regularly missed school or your class?
ehi42 String 100 Recommended If most of the students in your class failed an assignment, test, or project, how would you respond?
ehi43 String 100 Recommended What would your students say they had learned after spending a year in your class? (Or: What do you want students to remember about your class?)
ehi44 String 100 Recommended How would you establish and maintain good communication with the parents of your students?
ehi45 String 100 Recommended What steps would you follow to deal with a student who displays consistent behavioral problems in your classroom?
ehi46 String 100 Recommended Under what circumstances would you refer a child to the administrator's office?
ehi47 String 100 Recommended What could a visitor to your class expect to see?
ehi48 String 100 Recommended What do you hope to learn from your mentor?
ehi49 String 100 Recommended How would you take advantage of resources within the community to enhance your teaching?
ehi50 String 100 Recommended Why should you be hired for this position?
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.