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This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

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NIMH Data Archive
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NDA Help Center

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 filter 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

  • What is a 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.
  • What do I do after filters are added to the Filter Cart?
    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.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    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.

Glossary

  • Workspace
    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.
  • 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 adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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Child and Adolescent Survey of Experiences

149 Shared Subjects

N/A
Clinical Assessments
Life Events
11/19/2019
case01
11/20/2019
View Change History
01
Definition
Submission Template
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 subject_id
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
sipa_99 Integer Recommended During the last 12 months, have any of the following events occurred in your immediate family? 99. Moved to new location 0;1 0=No; 1=Yes caseyn1, pcaseyn1
caseyn2 Integer Recommended In the last 12 months did the following event happen? Subject (or subject's team) won a prize, award or contest (e.g., school, sports, music, dance) 0; 1 0= No; 1= Yes pcaseyn2
caseyn3 Integer Recommended In the last 12 months did the following event happen? Subject's parent(s) stayed away from home overnight (e.g., hospital, holiday, work 0; 1 0= No; 1= Yes pcaseyn3
caseyn4 Integer Recommended In the last 12 months did the following event happen? Subject got a new boyfriend or girlfriend 0; 1 0= No; 1= Yes pcaseyn4
caseyn5 Integer Recommended In the last 12 months did the following event happen? Subject's parent(s) started a new job 0; 1 0= No; 1= Yes pcaseyn5
caseyn6 Integer Recommended In the last 12 months did the following event happen? Someone special to the subject moved away (who is not in your family) 0; 1 0= No; 1= Yes pcaseyn6
caseyn7 Integer Recommended In the last 12 months did the following event happen? Someone in subject's family was really sick or injured 0; 1 0= No; 1= Yes pcaseyn7
caseyn8 Integer Recommended In the last 12 months did the following event happen? Subject's parent(s) had a baby/ found out they are going to have a baby 0; 1 0= No; 1= Yes pcaseyn8
caseyn9 Integer Recommended In the last 12 months did the following event happen? Subject's parent(s) had to see my school principal 0; 1 0= No; 1= Yes pcaseyn9
caseyn10 Integer Recommended In the last 12 months did the following event happen? Subject stayed away from home overnight (e.g., camp, trip, hospital) 0; 1 0= No; 1= Yes pcaseyn10
caseyn11 Integer Recommended In the last 12 months did the following event happen? Someone came to live with the family 0; 1 0= No; 1= Yes pcaseyn11
caseyn12 Integer Recommended In the last 12 months did the following event happen? Subject was teased or bullied 0; 1 0= No; 1= Yes pcaseyn12
caseyn13 Integer Recommended In the last 12 months did the following event happen? Subject's pet died, got sick, lost or injured 0; 1 0= No; 1= Yes pcaseyn13
caseyn14 Integer Recommended In the last 12 months did the following event happen? Subject had a big argument with someone in the family 0; 1 0= No; 1= Yes pcaseyn14
caseyn15 Integer Recommended In the last 12 months did the following event happen? Subject was really sick or injured 0; 1 0= No; 1= Yes pcaseyn15
caseyn16 Integer Recommended In the last 12 months did the following event happen? Subject's parent(s) split up 0; 1 0= No; 1= Yes pcaseyn16
caseyn17 Integer Recommended In the last 12 months did the following event happen? Subject did well in an important test or exam 0; 1 0= No; 1= Yes pcaseyn17
caseyn18 Integer Recommended In the last 12 months did the following event happen? Subject parent(s) lost their job 0; 1 0= No; 1= Yes pcaseyn18
caseyn19 Integer Recommended In the last 12 months did the following event happen? Subject broke up with a boyfriend or girflfriend 0; 1 0= No; 1= Yes pcaseyn19
caseyn20 Integer Recommended In the last 12 months did the following event happen? Subject had a big argument with someone special to them (who is not in the family) 0; 1 0= No; 1= Yes pcaseyn20
caseyn21 Integer Recommended In the last 12 months did the following event happen? Subject made a new special friend 0; 1 0= No; 1= Yes pcaseyn21
caseyn22 Integer Recommended In the last 12 months did the following event happen? Subject saw something bad happen (e.g., car accident, someone being robbed) 0; 1 0= No; 1= Yes pcaseyn22
caseyn23 Integer Recommended In the last 12 months did the following event happen? Subject changed schools 0; 1 0= No; 1= Yes pcaseyn23
sipa_109 Integer Recommended During the last 12 months, have any of the following events occurred in your immediate family? 109. Death of immediate family member 0;1 0=No; 1=Yes caseyn24, pcaseyn24
caseyn25 Integer Recommended In the last 12 months did the following event happen? People in the family had a big fight or argument (not including subject) 0; 1 0= No; 1= Yes pcaseyn25
caseyn26 Integer Recommended In the last 12 months did the following event happen? Subject's mother got married,engaged or began seeing someone else 0; 1 0= No; 1= Yes pcaseyn26
caseyn27 Integer Recommended In the last 12 months did the following event happen? Someone broke into subject's house 0; 1 0= No; 1= Yes pcaseyn27
caseyn28 Integer Recommended In the last 12 months did the following event happen? Someone in the family left home 0; 1 0= No; 1= Yes pcaseyn28
caseyn29 Integer Recommended In the last 12 months did the following event happen? Subject was in a fight (not with people in my family) 0; 1 0= No; 1= Yes pcaseyn29
caseyn30 Integer Recommended In the last 12 months did the following event happen? Subject did badly in an important test or exam 0; 1 0= No; 1= Yes pcaseyn30
caseyn31 Integer Recommended In the last 12 months did the following event happen? Someone special to the subject died (who is not in the family) 0; 1 0= No; 1= Yes pcaseyn31
caseyn32 Integer Recommended In the last 12 months did the following event happen? Subject was chosen to be class monitor, prefect or school captain 0; 1 0= No; 1= Yes pcaseyn32
caseyn33 Integer Recommended In the last 12 months did the following event happen? Subject was seriously told off or punished by a teacher 0; 1 0= No; 1= Yes pcaseyn33
caseyn34 Integer Recommended In the last 12 months did the following event happen? Subject took up a new hobby/ sport/ activity 0; 1 0= No; 1= Yes pcaseyn34
caseyn35 Integer Recommended In the last 12 months did the following event happen? Subject found out that they had to repeat a grade in school 0; 1 0= No; 1= Yes pcaseyn35
caseyn36 Integer Recommended In the last 12 months did the following event happen? Someone special to the subject was really sick or injured (who is not in the family) 0; 1 0= No; 1= Yes pcaseyn36
caseyn37 Integer Recommended In the last 12 months did the following event happen? Subject's dad got married, engaged, or began seeing someone else 0; 1 0= No; 1= Yes pcaseyn37
caseyn38 Integer Recommended In the last 12 months did the following event happen? Subject went on a special holiday (e.ge., overseas, around Australia) 0; 1 0= No; 1= Yes pcaseyn38
caseyn39 Integer Recommended In the last 12 months did the following event happen? Other upsetting or good event 1 0; 1 0= No; 1= Yes
caseyn40 Integer Recommended In the last 12 months did the following event happen? Other upsetting or good event 2 0; 1 0= No; 1= Yes
casespec1 String 100 Recommended Please specify other upsetting or good event 1
casespec2 String 100 Recommended Please specify other upsetting or good event 2
casegb1 Integer Recommended How good or bad was the event? Family moved house 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb1
casegb2 Integer Recommended How good or bad was the event? Subject (or subject's team) won a prize, award or contest (e.g., school, sports, music, dance) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb2
casegb3 Integer Recommended How good or bad was the event? Subject's parent(s) stayed away from home overnight (e.g., hospital, holiday, work 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb3
casegb4 Integer Recommended How good or bad was the event? Subject got a new boyfriend or girlfriend 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb4
casegb5 Integer Recommended How good or bad was the event? Subject's parent(s) started a new job 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb5
casegb6 Integer Recommended How good or bad was the event? Someone special to the subject moved away (who is not in your family) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb6
casegb7 Integer Recommended How good or bad was the event? Someone in subject's family was really sick or injured 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb7
casegb8 Integer Recommended How good or bad was the event? Subject's parent(s) had a baby/ found out they are going to have a baby 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb8
casegb9 Integer Recommended How good or bad was the event? Subject's parent(s) had to see my school principal 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb9
casegb10 Integer Recommended How good or bad was the event? Subject stayed away from home overnight (e.g., camp, trip, hospital) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb10
casegb11 Integer Recommended How good or bad was the event? Someone came to live with the family 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb11
casegb12 Integer Recommended How good or bad was the event? Subject was teased or bullied 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb12
casegb13 Integer Recommended How good or bad was the event? Subject's pet died, got sick, lost or injured 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb13
casegb14 Integer Recommended How good or bad was the event? Subject had a big argument with someone in the family 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb14
casegb15 Integer Recommended How good or bad was the event? Subject was really sick or injured 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb15
casegb16 Integer Recommended How good or bad was the event? Subject's parent(s) split up 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb16
casegb17 Integer Recommended How good or bad was the event? Subject did well in an important test or exam 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb17
casegb18 Integer Recommended How good or bad was the event? Subject parent(s) lost their job 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb18
casegb19 Integer Recommended How good or bad was the event? Subject broke up with a boyfriend or girflfriend 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb19
casegb20 Integer Recommended How good or bad was the event? Subject had a big argument with someone special to them (who is not in the family) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb20
casegb21 Integer Recommended How good or bad was the event? Subject made a new special friend 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb21
casegb22 Integer Recommended How good or bad was the event? Subject saw something bad happen (e.g., car accident, someone being robbed) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb22
casegb23 Integer Recommended How good or bad was the event? Subject changed schools 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb23
casegb24 Integer Recommended How good or bad was the event? Someone in the family died 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb24
casegb25 Integer Recommended How good or bad was the event? People in the family had a big fight or argument (not including subject) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb25
casegb26 Integer Recommended How good or bad was the event? Subject's mother got married,engaged or began seeing someone else 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb26
casegb27 Integer Recommended How good or bad was the event? Someone broke into subject's house 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb27
casegb28 Integer Recommended How good or bad was the event? Someone in the family left home 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb28
casegb29 Integer Recommended How good or bad was the event? Subject was in a fight (not with people in my family) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb29
casegb30 Integer Recommended How good or bad was the event? Subject did badly in an important test or exam 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb30
casegb31 Integer Recommended How good or bad was the event? Someone special to the subject died (who is not in the family) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb31
casegb32 Integer Recommended How good or bad was the event? Subject was chosen to be class monitor, prefect or school captain 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb32
casegb33 Integer Recommended How good or bad was the event? Subject was seriously told off or punished by a teacher 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb33
casegb34 Integer Recommended How good or bad was the event? Subject took up a new hobby/ sport/ activity 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb34
casegb35 Integer Recommended How good or bad was the event? Subject found out that they had to repeat a grade in school 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb35
casegb36 Integer Recommended How good or bad was the event? Someone special to the subject was really sick or injured (who is not in the family) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb36
casegb37 Integer Recommended How good or bad was the event? Subject's dad got married, engaged, or began seeing someone else 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb37
casegb38 Integer Recommended How good or bad was the event? Subject went on a special holiday (e.ge., overseas, around Australia) 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad pcasegb38
casegb39 Integer Recommended How good or bad was the event? Other upsetting or good event 1 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad
casegb40 Integer Recommended How good or bad was the event? Other upsetting or good event 2 1::6 1= Really good; 2= Quite good; 3= A little good; 4= A little bad; 5= Quite bad; 6= Really bad
version_form String 121 Recommended Form used/assessment name
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.