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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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ABCD Youth Life Events

11,359 Shared Subjects

Life events including trauma, youth report
Clinical Assessments
Life Events
01/18/2019
abcd_yle01
05/14/2021
View Change History
01
Query Element Name Data Type Size Required Condition 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_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.
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY
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 Recommended The event name for which the data was collected
Query ple_died_y Integer Recommended Someone in family died? 0 ; 1 1 = Yes; 0 = No life_events_phenx_died
Query ple_died_past_yr_y Integer Recommended ple_died_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_died_past_yr
Query ple_died_fu_y Integer Recommended ple_died_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_died_fu
Query ple_died_fu2_y Integer Recommended ple_died_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_died_fu2
Query ple_injured_y Integer Recommended Family member was seriously injured? 0 ; 1 1 = Yes; 0 = No life_events_phenx_injured
Query ple_injured_past_yr_y Integer Recommended ple_injured_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_injured_past_yr
Query ple_injured_fu_y Integer Recommended ple_injured_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_injured_fu
Query ple_injured_fu2_y Integer Recommended ple_injured_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_injured_fu2
Query ple_crime_y Integer Recommended Saw crime or accident? 0 ; 1 1 = Yes; 0 = No life_events_phenx_crime
Query ple_crime_past_yr_y Integer Recommended ple_crime_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_crime_past_yr
Query ple_crime_fu_y Integer Recommended ple_crime_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_crime_fu
Query ple_crime_fu2_y Integer Recommended ple_crime_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_crime_fu2
Query ple_friend_y Integer Recommended Lost a close friend? 0 ; 1 1 = Yes; 0 = No life_events_phenx_friend
Query ple_friend_past_yr_y Integer Recommended ple_friend_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_friend_past_yr
Query ple_friend_fu_y Integer Recommended ple_friend_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_friend_fu
Query ple_friend_fu2_y Integer Recommended ple_friend_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_friend_fu2
Query ple_friend_injur_y Integer Recommended Close friend was seriously sick/injured? 0 ; 1 1 = Yes; 0 = No life_events_phenx_friend_injur
Query le_friend_injur_past_yr_y Integer Recommended ple_friend_injur_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_friend_injur_past_yr
Query ple_friend_injur_fu_y Integer Recommended ple_friend_injur_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_friend_injur_fu
Query ple_friend_injur_fu2_y Integer Recommended ple_friend_injur_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_friend_injur_fu2
Query ple_financial_y Integer Recommended Negative change in parent's financial situation? 0 ; 1 1 = Yes; 0 = No life_events_phenx_financial
Query ple_financial_past_yr_y Integer Recommended ple_financial_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_financial_past_yr
Query ple_financial_fu_y Integer Recommended ple_financial_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_financial_fu
Query ple_financial_fu2_y Integer Recommended ple_financial_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_financial_fu2
Query ple_sud_y Integer Recommended Family member had drug and/or alcohol problem? 0 ; 1 1 = Yes; 0 = No life_events_phenx_sud
Query ple_sud_past_yr_y Integer Recommended ple_sud_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_sud_past_yr
Query ple_sud_fu_y Integer Recommended ple_sud_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_sud_fu
Query ple_sud_fu2_y Integer Recommended ple_sud_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_sud_fu2
Query ple_ill_y Integer Recommended You got seriously sick? 0 ; 1 1 = Yes; 0 = No life_events_phenx_ill
Query ple_ill_past_yr_y Integer Recommended ple_ill_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_ill_past_yr
Query ple_ill_fu_y Integer Recommended ple_ill_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_ill_fu
Query ple_ill_fu2_y Integer Recommended ple_ill_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_ill_fu2
Query ple_injur_y Integer Recommended You got seriously injured? 0 ; 1 1 = Yes; 0 = No life_events_phenx_injur
Query ple_injur_y_past_yr_y Integer Recommended ple_injur_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_injur_past_yr, life_events_phenx_injur_y_past_yr
Query ple_injur_fu_y Integer Recommended ple_injur_y == '1' Was this a good or bad experience 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_injur_fu
Query ple_injur_fu2_y Integer Recommended ple_injur_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_injur_fu2
Query ple_argue_y Integer Recommended Parents argued more than previously? 0 ; 1 1 = Yes; 0 = No life_events_phenx_argue
Query ple_argue_past_yr_y Integer Recommended ple_argue_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_argue_past_yr
Query ple_argue_fu_y Integer Recommended ple_argue_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_argue_fu
Query ple_argue_fu2_y Integer Recommended ple_argue_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_argue_fu2
Query ple_job_y Integer Recommended Mother/father figure lost job? 0 ; 1 1 = Yes; 0 = No life_events_phenx_job
Query ple_job_past_yr_y Integer Recommended ple_job_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_job_past_yr
Query ple_job_fu_y Integer Recommended ple_job_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_job_fu
Query ple_job_fu2_y Integer Recommended ple_job_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_job_fu2
Query ple_away_y Integer Recommended One parent was away from home more often? 0 ; 1 1 = Yes; 0 = No life_events_phenx_away
Query ple_away_past_yr_y Integer Recommended ple_away_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_away_past_yr
Query ple_away_fu_y Integer Recommended ple_away_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_away_fu
Query ple_away_fu2_y Integer Recommended ple_away_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_away_fu2
Query ple_arrest_y Integer Recommended Someone in the family was arrested? 0 ; 1 1 = Yes; 0 = No life_events_phenx_arrest
Query ple_arrest_past_yr_y Integer Recommended ple_arrest_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_arrest_past_yr
Query ple_arrest_fu_y Integer Recommended ple_arrest_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_arrest_fu
Query ple_arrest_fu2_y Integer Recommended ple_arrest_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_arrest_fu2
Query ple_friend_died_y Integer Recommended Close friend died? 0 ; 1 1 = Yes; 0 = No life_events_phenx_friend_died
Query ple_friend_died_past_yr_y Integer Recommended ple_friend_died_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_friend_died_past_yr
Query ple_friend_died_fu_y Integer Recommended ple_friend_died_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_friend_died_fu
Query ple_friend_died_fu2_y Integer Recommended ple_friend_died_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_friend_died_fu2
Query ple_mh_y Integer Recommended Family member had mental/emotional problem? 0 ; 1 1 = Yes; 0 = No life_events_phenx_mh
Query ple_mh_past_yr_y Integer Recommended ple_mh_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_mh_past_yr
Query ple_mh_fu_y Integer Recommended ple_mh_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_mh_fu
Query ple_mh_fu2_y Integer Recommended ple_mh_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_mh_fu2
Query ple_sib_y Integer Recommended Brother or sister left home? 0 ; 1 1 = Yes; 0 = No life_events_phenx_sib
Query ple_sib_past_yr_y Integer Recommended ple_sib_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_sib_past_yr
Query ple_sib_fu_y Integer Recommended ple_sib_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_sib_fu
Query ple_sib_fu2_y Integer Recommended ple_sib_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_sib_fu2
Query ple_victim_y Integer Recommended Was a victim of crime/violence/assault? 0 ; 1 1 = Yes; 0 = No life_events_phenx_victim
Query ple_victim_past_yr_y Integer Recommended ple_victim_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_victim_past_yr
Query ple_victim_fu_y Integer Recommended ple_victim_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_victim_fu
Query ple_victim_fu2_y Integer Recommended ple_victim_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_victim_fu2
Query ple_separ_y Integer Recommended Parents separated or divorced? 0 ; 1 1 = Yes; 0 = No life_events_phenx_separ
Query ple_separ_past_yr_y Integer Recommended ple_separ_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_separ_past_yr
Query ple_separ_fu_y Integer Recommended ple_separ_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_separ_fu
Query ple_separ_fu2_y Integer Recommended ple_separ_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_separ_fu2
Query ple_law_y Integer Recommended Parents/caregiver got into trouble with the law? 0 ; 1 1 = Yes; 0 = No life_events_phenx_law
Query ple_law_past_yr_y Integer Recommended ple_law_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_law_past_yr
Query ple_law_fu_y Integer Recommended ple_law_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_law_fu
Query ple_law_fu2_y Integer Recommended ple_law_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_law_fu2
Query ple_school_y Integer Recommended Attended a new school? 0 ; 1 1 = Yes; 0 = No life_events_phenx_school
Query ple_school_past_yr_y Integer Recommended ple_school_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_school_past_yr
Query ple_school_fu_y Integer Recommended ple_school_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_school_fu
Query ple_school_fu2_y Integer Recommended ple_school_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_school_fu2
Query ple_move_y Integer Recommended Family moved? 0 ; 1 1 = Yes; 0 = No life_events_phenx_move
Query ple_move_past_yr_y Integer Recommended ple_move_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_move_past_yr
Query ple_move_fu_y Integer Recommended ple_move_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_move_fu
Query ple_move_fu2_y Integer Recommended ple_move_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_move_fu2
Query ple_jail_y Integer Recommended One of the parents/caregivers went to jail? 0 ; 1 1 = Yes; 0 = No life_events_phenx_jail
Query ple_jail_past_yr_y Integer Recommended ple_jail_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_jail_past_yr
Query ple_jail_fu_y Integer Recommended ple_jail_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_jail_fu
Query ple_jail_fu2_y Integer Recommended ple_jail_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_jail_fu2
Query ple_step_y Integer Recommended Got new stepmother or stepfather? 0 ; 1 1 = Yes; 0 = No life_events_phenx_step
Query ple_step_past_yr_y Integer Recommended ple_step_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_step_past_yr
Query ple_step_fu_y Integer Recommended ple_step_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_step_fu
Query ple_step_fu2_y Integer Recommended ple_step_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_step_fu2
Query ple_new_job_y Integer Recommended Parent/caregiver got a new job? 0 ; 1 1 = Yes; 0 = No life_events_phenx_new_job
Query ple_new_job_past_yr_y Integer Recommended ple_new_job_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_new_job_past_yr
Query ple_new_job_fu_y Integer Recommended ple_new_job_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_new_job_fu
Query ple_new_job_fu2_y Integer Recommended ple_new_job_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_new_job_fu2
Query ple_new_sib_y Integer Recommended Got new brother or sister? 0 ; 1 1 = Yes; 0 = No life_events_phenx_new_sib
Query ple_new_sib_past_yr_y Integer Recommended ple_new_sib_y == '1' Did this happen in the past year? 0 ; 1 1 = Yes; 0 = No life_events_phenx_new_sib_past_yr
Query ple_new_sib_fu_y Integer Recommended ple_new_sib_y == '1' Was this a good or bad experience? 1 ; 2 ; 6 ; 7 1 = Mostly good; 2 = Mostly bad; 6 = Not applicable; 7 = Don't know life_events_phenx_new_sib_fu
Query ple_new_sib_fu2_y Integer Recommended ple_new_sib_y == '1' How much did the event affect you? 0 ; 1 ; 2 ; 3 0 = Not at All; 1 = A Little; 2 = Some; 3 = A lot life_events_phenx_new_sib_fu2
ple_foster_care_past_yr_y Integer Recommended Did this happen in the past year? 0;1 0=No; 1=Yes [ple_foster_care_y] = '1'
ple_foster_care_y Integer Recommended You were placed in foster care? 0;1 0=No; 1=Yes [event-name] = '3_year_follow_up_y_arm_1' OR [event-name] = '4_year_follow_up_y_arm_1'
ple_hit_fu_y Integer Recommended Was this a good or bad experience? 1;2;6;7 1=Mostly good;2=Mostly bad;6=Not applicable;7=Don't know [ple_hit_y] = '1'
ple_hit_fu2_y Integer Recommended How much did the event affect you? 0::3 0=Not at All;1=A Little;2=Some;3=A lot [ple_hit_y] = '1'
ple_hit_past_yr_y Integer Recommended Did this happen in the past year? 0;1 0=No; 1=Yes [ple_hit_y] = '1'
ple_hit_y Integer Recommended Saw or heard someone getting hit 0;1 0=No; 1=Yes [event-name] = '3_year_follow_up_y_arm_1' OR [event-name] = '4_year_follow_up_y_arm_1'
ple_homeless_fu_y Integer Recommended Was this a good or bad experience? 1;2;6;7 1=Mostly good;2=Mostly bad;889=Not applicable;999=Don't know [ple_homeless_y] = '1'
ple_homeless_fu2_y Integer Recommended How much did the event affect you? 0::3 0=Not at All;1=A Little;2=Some;3=A lot [ple_homeless_y] = '1'
ple_homeless_past_yr_y Integer Recommended Did this happen in the past year? 0;1 0=No; 1=Yes [ple_homeless_y] = '1'
ple_homeless_y Integer Recommended Your family was homeless? 0;1 0=No; 1=Yes ([event-name] = '4_year_follow_up_y_arm_1')
ple_hospitalized_fu_y Integer Recommended Was this a good or bad experience? 1;2;6;7 1=Mostly good;2=Mostly bad;6=Not applicable;7=Don't know [ple_hospitalized_y] = '1'
ple_hospitalized_fu2_y Integer Recommended How much did the event affect you? 0::3 0=Not at All;1=A Little;2=Some;3=A lot [ple_hospitalized_y] = '1'
ple_hospitalized_past_yr_y Integer Recommended Did this happen in the past year? 0;1 0=No; 1=Yes [ple_hospitalized_y] = '1'
ple_hospitalized_y Integer Recommended Parent or caregiver hospitalized? 0;1 0=No; 1=Yes [event-name] = '3_year_follow_up_y_arm_1' OR [event-name] = '4_year_follow_up_y_arm_1'
ple_lockdown_fu_y Integer Recommended Was this a good or bad experience? 1;2;6;7 1=Mostly good;2=Mostly bad;6=Not applicable;7=Don't know [ple_lockdown_y] = '1'
ple_lockdown_fu2_y Integer Recommended How much did the event affect you? 0::3 0=Not at All;1=A Little;2=Some;3=A lot [ple_lockdown_y] = '1'
ple_lockdown_past_yr_y Integer Recommended Did this happen in the past year? 0;1 0=No; 1=Yes [ple_lockdown_y] = '1'
ple_lockdown_y Integer Recommended Had a lockdown at your school due to concerns about a school shooting or violence? 0;1 0=No; 1=Yes [event-name] = '3_year_follow_up_y_arm_1' OR [event-name] = '4_year_follow_up_y_arm_1'
ple_shot_fu_y Integer Recommended Was this a good or bad experience? 1;2;6;7 1=Mostly good;2=Mostly bad;6=Not applicable;7=Don't know [ple_shot_y] = '1'
ple_shot_fu2_y Integer Recommended How much did the event affect you? 0::3 0=Not at All;1=A Little;2=Some;3=A lot [ple_shot_y] = '1'
ple_admin Integer Recommended Please indicate how instrument was administered: 1::3 1=RA-Administered;2=Youth Self-Administered;3=Combination [sched_delay] = '7'
ple_shot_past_yr_y Integer Recommended Did this happen in the past year? 0;1 0=No; 1=Yes [ple_shot_y] = '1'
ple_shot_y Integer Recommended Saw or heard someone being shot at (but not actually wounded) in your school or neighborhood? 0;1 0=No; 1=Yes [event-name] = '3_year_follow_up_y_arm_1' OR [event-name] = '4_year_follow_up_y_arm_1'
ple_suicide_fu2_y Integer Recommended How much did the event affect you? 0::3 0=Not at All;1=A Little;2=Some;3=A lot [ple_suicide_past_yr_y] = '1'
ple_suicide_past_yr_y Integer Recommended Did this happen in the past year? 0;1 0=No; 1=Yes ([ple_suicide_y] = '1')
ple_suicide_y Integer Recommended Do you know someone who has attempted suicide? 0;1 0=No; 1=Yes [event-name] = '4_year_follow_up_y_arm_1'
ple_who_passed_y Integer Recommended Did this person die? 0;1 0=No; 1=Yes ([ple_suicide_y]) = '1'
ple_who_y Integer Recommended Was this person: 1::3 1=A family member;2=A friend;3=Other ([ple_suicide_y]) = '1'
ple_deported_fu_y Integer Recommended Was this a good or bad experience? 1;2;6;7 1=Mostly good;2=Mostly bad;6=Not applicable;7=Don't know [ple_deported_y] = '1'
ple_deported_fu2_y Integer Recommended How much did the event affect you? 0::3 0=Not at All;1=A Little;2=Some;3=A lot [ple_deported_y] = '1'
ple_deported_past_yr_y Integer Recommended Did this happen in the past year? 0;1 0=No; 1=Yes [ple_deported_y] = '1'
ple_deported_y Integer Recommended Parent or caregiver deported? 0;1 0=No; 1=Yes [event-name] = '3_year_follow_up_y_arm_1' OR [event-name] = '4_year_follow_up_y_arm_1'
ple_foster_care_fu_y Integer Recommended Was this a good or bad experience? 1;2;6;7 1=Mostly good;2=Mostly bad;6=Not applicable;7=Don't know [ple_foster_care_y] = '1'
ple_foster_care_fu2_y Integer Recommended How much did the event affect you? 0::3 0=Not at All;1=A Little;2=Some;3=A lot [ple_foster_care_y] = '1'
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

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