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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. 


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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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Dissociative Disorder Integration Measure

0 Shared Subjects

DID Integration Measure, DID Experiences Survey, DID Vignettes
Clinical Assessments
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
did1 Integer Recommended 1. Are you aware of there being other parts/identities within yourself? 1::5 1= No, I'm not aware of other parts; 2= I sometimes believe that there are other parts; 3= I often believe that there are other parts; 4= I know there are other parts most of the time; 5= I always know there are other parts
did2 Integer Recommended Approximately how many parts do you there are?
did3 Integer Recommended 2. Do you think there might be any parts that you don't know about? 1::5 1= I don't know; 2= No, I know about most or all the parts; 3= There might be, but I don't like to think about it; 4= I think so, but Im not sure; 5= Yes, I know there are
did4 Integer Recommended 3. Do the other parts/identities communicate with you? 1::4 1= No they don't; 2= They occasionally communicate with me; 3= They sometimes communicate with me; 4= They often communicate with me
did5 String 100 Recommended How do the parts communicate with you (voices, thoughts, other ways)?
did6 String 100 Recommended Is there more than one part helping to fill out this questionnaire?
did7 Integer Recommended 4. How do you feel about other parts/identities communicating with you? 1::5 1= I don't want to know about them; 2= I usually don't want communication; 3= I sometimes feel I might want communication; 4= I'm often open to communication; 5= I'm comfortable with most or all of their communication
did8 String 100 Recommended In what way do you perceive other identities/parts, for example, do you hear their voices, visualize them, or some other ways?
did9 Integer Recommended 5. Are you able to communicate with other parts/identities in general? 0::4 0= I don't communicate with any of them; 1= I occasionally communicate with only a few of them; 2= I sometimes communicate with some of them; 3= I often communicate with many of them; 4= I communicate easily with all of them
did10 Integer Recommended Approximately how many parts are you able to communicate at least a little with? _____
did11 Integer Recommended Approximately how many parts are you able to communicate very well with? _____
did12 String 25 Recommended In what ways do you communicate with other parts (talking out loud, talking inside, thinking, other ways)?
did13 Integer Recommended 6. Do you share co-consciousness with other parts, that is, are you aware of what they are thinking and/or doing? 0::4 0= Never, or with none of the parts; 1= Rarely, or with only a few parts; 2= Sometimes, or with some parts; 3= Often, or with many parts; 4= Always, or with all of the parts
did14 Integer Recommended 7. When other parts are out (in the body), are you aware of what happens, for example, watching or listening or both being out at once? 0::4 0= Never, or with none of the parts; 1= Rarely, or with only a few parts; 2= Sometimes, or with some parts; 3= Often, or with many parts; 4= Always, or with all of the parts
did15 Integer Recommended 8. Is there cooperation between you and other parts/identities, for example about the times/places when other parts come out? 0::4 0= Never, or with none of the parts; 1= Rarely, or with only a few parts; 2= Sometimes, or with some parts; 3= Often, or with many parts; 4= Always, or with all of the parts
did16 Integer Recommended 9. How would you describe how you feel about the other parts/identities? 0::4 0= I don't want to know anything about them; 1= I understand a little about a few of them, but can't deal with most of them; 2= I understand some of them, but have a hard time with others; 3= Often, or with many parts; 4= Always, or with all of the parts
did17 Integer Recommended 10. Approximately how long have you been working on developing communication and cooperation between your parts?
did18 Float Recommended 11. Overall, how often do you feel you communicate and work together with your identities/parts? 0::100 % of the time
didvignette1 String 255 Recommended Story 1: Please describe the main events of the story in a few sentences.
didvignette2 String 1 Recommended Story 1: 1) The narrator went sailing: a;b;c;d a= for her birthday; b= on a Saturday; c= every weekend; d= for the first time
didvignette3 String 1 Recommended Story 1: 2) At the end of the story, the sailboat was: a;b;c;d a= at the docks; b= on the ocean; c= close to shore; d= in the middle of the lake
didvignette4 String 1 Recommended Story 1: 3) Who was an experienced sailor? a;b;c;d a= the narrators mother; b= the narrators grandfather; c= the narrator; d= the narrators father
didvignette5 String 1 Recommended Story 1: 4) What card game did the narrator already know how to play? a;b;c;d a= go-fish; b= crazy 8's; c= gin rummy; d= poker
didvignette6 String 1 Recommended Story 1: 5) Who went into the cabin with the narrator? a;b;c;d a= no one; b= the narrators mother; c= the narrators father; d= the narrators uncle
didvignette7 String 255 Recommended Story 2: Please describe the main events of the story in a few sentences.
didvignette8 String 1 Recommended Story 2: 1) The site of the picnic was: a;b;c;d a= in the mountains; b= near the narrators house; c= near the narrators cousins house; d= in a shady grove of trees
didvignette9 String 1 Recommended Story 2: 2) At the end of the story, the narrator was: a;b;c;d a= leaving the woods; b= in the woods at night; c= at home; d= in the fort
didvignette10 String 1 Recommended Story 2: 3) What was used to cover the fort? a;b;c;d a= leaves and sticks; b= big branches; c= tree bark; d= branches and moss
didvignette11 String 1 Recommended Story 2: 4) Who was in the fort with the narrator? a;b;c;d a= the narrators sister; b= the narrators mother; c= the narrators brother; d= the narrators babysitter
didvignette12 String 1 Recommended Story 2: 5) What did the narrator do while in the fort? a;b;c;d a= play guessing games; b= look at a magazine; c= play truth or dare; d= play Simon says
didvignette13 String 255 Recommended Story 3: Please describe the main events of the story in a few sentences.
didvignette14 String 1 Recommended Story 3: 1) In the story, the narrator went camping: a;b;c;d a= in July; b= on Labor Day weekend; c= in hunting season; d= during summer
didvignette15 String 1 Recommended Story 3: 2) What was the first thing they did when they got to the campsite? a;b;c;d a= build a fire; b= pitch the tents; c= cook dinner ; d= go for a walk
didvignette16 String 1 Recommended Story 3: 3) How many people went on the camping trip? a;b;c;d a= 2; b= 3; c= 4; d= 5
didvignette17 String 1 Recommended Story 3: 4) What animal did the narrator see? a;b;c;d a= a raccoon; b= an owl; c= a chipmunk; d= a possum
didvignette18 String 1 Recommended Story 3: 5) Where was the narrator at the end of the story? a;b;c;d a= in the car; b= sitting by fire; c= in the tent; d= a short way down a trail
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.