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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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ABCD Peer Experiences Questionnaire

6,571 Shared Subjects

This is an assessment of whether the youth has either experienced overt, relational or reputational victimization from peers or perpetrated overt, relational or reputational aggression towards peers.
Clinical Assessments
Social Adjustment
04/13/2020
abcd_peq01
05/28/2021
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 gender
eventname String 60 Required The event name for which the data was collected
peq_left_out_perp Integer Recommended I left another kid out of an activity or conversation that they really wanted to be included in. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_left_out_perp
peq_left_out_vic Integer Recommended Some kids left me out of an activity or conversation I really wanted to be included in. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_left_out_vic
peq_chase_perp Integer Recommended I chased a kid like I was really trying to hurt him or her. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_chase_perp
peq_chase_vic Integer Recommended A kid chased me like he or she was really trying to hurt me. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_chase_vic
peq_rumor_perp Integer Recommended I tried to damage another kid's social reputation by spreading rumors about them. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_rumor_perp
peq_rumor_vic Integer Recommended A kid tried to damage my social reputation by spreading rumors about me 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_rumor_vic
peq_invite_perp Integer Recommended I did not invite a kid to a party or other social event even though I knew the kid wanted to go. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_invite_perp
peq_invite_vic Integer Recommended A kid did not invite me to a party or social event though they knew that I wanted to go. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_invite_vic
peq_exclude_perp Integer Recommended I left another kid out of what I was doing. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_exclude_perp
peq_exclude_vic Integer Recommended A kid left me out of what they were doing. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_exclude_vic
peq_gossip_perp Integer Recommended I gossiped about another kid so others would not like him/her. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_gossip_perp
peq_gossip_vic Integer Recommended Another kid gossiped about me so others would not like me. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_gossip_vic
peq_threat_perp Integer Recommended I threatened to hurt or beat up another kid. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_threat_perp
peq_threat_vic Integer Recommended A kid threatened to hurt or beat me up. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_threat_vic
peq_loser_perp Integer Recommended I said mean things about a kid so that people would think s/he was a loser. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_loser_perp
peq_loser_vic Integer Recommended Another kid said mean things about me so that people would think I was a loser. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_loser_vic
peq_hit_perp Integer Recommended I hit, kicked, or pushed another kid in a mean way. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_hit_perp
peq_hit_vic Integer Recommended A kid hit, kicked, or pushed me in a mean way. 1 :: 5 1=Never; 2=Once or twice; 3=A few times; 4=About once a week; 5=A few times a week peer_experiences_hit_vic
peq_admin Integer Recommended Please indicate how instrument was administered: 1::3 1=RA-Administered ; 2=Youth Self-Administered ; 3=Combination [event_name_number] > '21'
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.