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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).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

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.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

  • 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.

Glossary

  • 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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Data Structures with shared data
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Brief Trauma Questionnaire

0 Shared Subjects

The BTQ is a brief self-report questionnaire that is derived from the Brief Trauma Interview (Schnurr et al., 1995). The BTQ was originally designed to assess traumatic exposure according to DSM‐IV but specifically asked only about Criterion A.1 (life threat/serious injury) because of the difficulty of accurately assessing A.2 (subjective response) in a brief self-report format. Criterion A.2 has been eliminated from the PTSD diagnostic criteria in DSM- 5, so the BTQ provides a complete assessment of Criterion A. https://www.ptsd.va.gov/professional/assessment/documents/BTQ.pdf
Clinical Assessments
Trauma
12/07/2020
btq01
11/30/2021
View Change History
01
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
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 subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported
btq_q1_happen Integer Recommended Have you ever served in a war zone, or have you ever served in a noncombat job that exposed you to war-related casualties (for example, as a medic or on graves registration duty?) Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q1_danger Integer Recommended Have you ever served in a war zone, or have you ever served in a noncombat job that exposed you to war-related casualties (for example, as a medic or on graves registration duty?) If the event happened, did you think your life was in danger or you might be seriously injured? 0;1 0=No; 1=Yes
btq_q1_injury Integer Recommended Have you ever served in a war zone, or have you ever served in a noncombat job that exposed you to war-related casualties (for example, as a medic or on graves registration duty?) If the event happened, were you seriously injured? 0;1 0=No; 1=Yes
btq_q2_happen Integer Recommended Have you ever been in a serious car accident, or a serious accident at work or somewhere else? Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q2_danger Integer Recommended Have you ever been in a serious car accident, or a serious accident at work or somewhere else? If the event happened, did you think your life was in danger or you might be seriously injured? 0;1 0=No; 1=Yes
btq_q2_injury Integer Recommended Have you ever been in a serious car accident, or a serious accident at work or somewhere else? If the event happened, were you seriously injured? 0;1 0=No; 1=Yes
btq_q3_happen Integer Recommended Have you ever been in a major natural or technological disaster, such as a fire, tornado, hurricane, flood, earthquake, orchemical spill? Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q3_danger Integer Recommended Have you ever been in a major natural or technological disaster, such as a fire, tornado, hurricane, flood, earthquake, orchemical spill? If the event happened, did you think your life was in danger or you might be seriously injured? 0;1 0=No; 1=Yes
btq_q3_injury Integer Recommended Have you ever been in a major natural or technological disaster, such as a fire, tornado, hurricane, flood, earthquake, orchemical spill? If the event happened, were you seriously injured? 0;1 0=No; 1=Yes
btq_q4_happen Integer Recommended Have you ever had a life-threatening illness such as cancer, a heart attack, leukemia, AIDS, multiple sclerosis, etc.? Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q4_danger Integer Recommended Have you ever had a life-threatening illness such as cancer, a heart attack, leukemia, AIDS, multiple sclerosis, etc.? If the event happened, did you think your life was in danger or you might be seriously injured? 0;1 0=No; 1=Yes
btq_q5_happen Integer Recommended Before age 18, were you ever physically punished or beaten by a parent, caretaker, or teacher so that: you were very frightened; or you thought you would be injured; or you received bruises, cuts, welts, lumps or other injuries? Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q5_danger Integer Recommended Before age 18, were you ever physically punished or beaten by a parent, caretaker, or teacher so that: you were very frightened; or you thought you would be injured; or you received bruises, cuts, welts, lumps or other injuries? If the event happened, did you think your life was in danger or you might be seriously injured? 0;1 0=No; 1=Yes
btq_q5_injury Integer Recommended Before age 18, were you ever physically punished or beaten by a parent, caretaker, or teacher so that: you were very frightened; or you thought you would be injured; or you received bruises, cuts, welts, lumps or other injuries? If the event happened, were you seriously injured? 0;1 0=No; 1=Yes
btq_q6_happen Integer Recommended Not including any punishments or beatings you already reported in Question 5, have you ever been attacked, beaten, or mugged by anyone, including friends, family members or strangers? Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q6_danger Integer Recommended Not including any punishments or beatings you already reported in Question 5, have you ever been attacked, beaten, or mugged by anyone, including friends, family members or strangers? If the event happened, did you think your life was in danger or you might be seriously injured? 0;1 0=No; 1=Yes
btq_q6_injury Integer Recommended Not including any punishments or beatings you already reported in Question 5, have you ever been attacked, beaten, or mugged by anyone, including friends, family members or strangers? If the event happened, were you seriously injured? 0;1 0=No; 1=Yes
btq_q7_happen Integer Recommended Has anyone ever made or pressured you into having some type of unwanted sexual contact? Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q7_danger Integer Recommended Has anyone ever made or pressured you into having some type of unwanted sexual contact? If the event happened, did you think your life was in danger or you might be seriously injured? 0;1 0=No; 1=Yes
btq_q7_injury Integer Recommended Has anyone ever made or pressured you into having some type of unwanted sexual contact? If the event happened, were you seriously injured? 0;1 0=No; 1=Yes
btq_q8_happen Integer Recommended Have you ever been in any other situation in which you were seriously injured, or have you ever been in any other situation in which you feared you might be seriously injured or killed? Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q8_injury Integer Recommended Have you ever been in any other situation in which you were seriously injured, or have you ever been in any other situation in which you feared you might be seriously injured or killed? If the event happened, were you seriously injured? 0;1 0=No; 1=Yes
btq_q9_happen Integer Recommended Has a close family member or friend died violently, for example, in a serious car crash, mugging, or attack? Has this ever happened to you? 0;1 0=No; 1=Yes
btq_q9_injury Integer Recommended Has a close family member or friend died violently, for example, in a serious car crash, mugging, or attack? If the event happened, were you seriously injured? 0;1 0=No; 1=Yes
btq_q10 Integer Recommended Have you ever witnessed a situation in which someone was seriously injured or killed, or have you ever witnessed a situation in which you feared someone would be seriously injured or killed? Note: Do not answer yes for any event you already reported in Questions 1-9. 0;1 0=No; 1=Yes
btq_add_q11 Integer Recommended Have you ever experienced a miscarriage or stillbirth? 0;1 0=No; 1=Yes
btq_add_q12 Integer Recommended Have you ever experienced the death of one of your own children? 0;1 0=No; 1=Yes
btq_add_q13 Integer Recommended Have you ever experienced complications of pregnancy or a labor and birth that you found traumatic? 0;1 0=No; 1=Yes
btq_add_q14 Integer Recommended Have you ever experienced sexual harrassment at work that was either physical or verbal? 0;1 0=No; 1=Yes
btq_add_q15 Integer Recommended Not including war-related service, have you ever treated civilians with traumatic injuries (e.g., burn victims, amputees, gunshot wounds)? 0;1 0=No; 1=Yes
btq_add_q16 Integer Recommended Have you ever experienced a seriously traumatic event not already covered in any of these questions 0;1 0=No; 1=Yes
btq_worst Integer Recommended Please indicate which event you consider your worst. 1::16 1=Served in a war zone; 2=Serious car accident; 3=Major natural or technological disaster; 4=Life-threatening illness; 5=Physically punished or beaten by parent, caretaker, or teacher; 6=Physically punished or beaten by other; 7=Unwanted sexual contact; 8=Other situation in which you were injured; 9=Close family member or friend death; 10=Witnessed someone seriously injured or killed; 11=Miscarriage or stillbirth; 12=Death of child; 13=Labor or pregnancy complications; 14=Sexual harassment at work; 15=Treated civilians with traumatic injuries; 16=Other traumatic event
btq_worst_age Integer Recommended How old were you when your worst experience occurred?
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.