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Filter Cart
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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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Adverse Childhood Experience

1,248 Shared Subjects

N/A
Clinical Assessments
Life Events
07/12/2019
ache01
01/18/2023
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* nimh_nda_guid
src_subject_id String 20 Required Subject ID how it's defined in lab/project record_id
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. ace_ageinmonths
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY ace_date
sex String 20 Required Sex of subject at birth
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported gender, participant_sex
b_ace_q1 Integer Recommended 1. Did a parent or other adult in the household often... Swear at you, insult you, put you down, or humiliate you? OR Act in a way that made you afraid that you might be physically hurt? 0;1 0=No; 1=Yes
b_ace_q2 Integer Recommended 2. Did a parent or other adult in the household often Push, grab, slap, or throw something at you? OR Ever hit you so hard that you had marks or were injured? 0;1 0=No; 1=Yes
b_ace_q3 Integer Recommended 3. Did an adult or person at least 5 years older than you ever Touch or fondle you or have you touch their body in a sexual way? OR Try to actually have oral, anal, or vaginal sex with you? 0;1 0=No; 1=Yes
b_ace_q4 Integer Recommended 4. Did you often feel that No one in your family loved you or thought you were important or special? OR Your family didn't look out for each other, feel close to each other, or support each other? 0;1 0=No; 1=Yes
b_ace_q5 Integer Recommended 5. Did you often feel that You didn't have enough to eat, had to wear dirty clothes, and had no one to protect you? Or Your parents were too drunk or high to take care of you or take you to the doctor if you needed it? 0;1 0=No; 1=Yes
tesi_s_165 Integer Recommended 1.6c Have your parents ever separated or divorced? 0::4 0= No; 1=Yes; 2=Not Sure; 3=Refused; 4=QV (questionable validity) b_ace_q6
b_ace_q7 Integer Recommended 7. Was your mother or stepmother: Often pushed, grabbed, slapped, or had something thrown at her? or Sometimes or often kicked, bitten, hit with a fist, or hit with something hard? or Ever repeatedly hit over at least a few minutes or threatened with a gun or knife? 0;1 0=No; 1=Yes
b_ace_q8 Integer Recommended 8. Did you live with anyone who was a problem drinker or alcoholic or who used street drugs? 0;1 0=No; 1=Yes
b_ace_q9 Integer Recommended 9. Was a household member depressed or mentally ill or did a household member attempt suicide? 0;1 0=No; 1=Yes
ceahd15 Integer Recommended Did a household member go to prison?
1 :: 2
1= yes; 2= no b_ace_q10
b_ace_totscore Integer Recommended Adverse Experience Total Score ace_score
parent_depressed Integer Recommended Either biological parent 2 week or longer period of depression (couldn't concentrate/felt worthless/felt their life was not worth living) 0::2 0= No; 1= Yes; 2= Don't know
parent_manic Integer Recommended Either biological parent several day manic episode (excited/full of energy/did dangerous or embarrassing things) 0::2 0= No; 1= Yes; 2= Don't know
parent_anxattk Integer Recommended Either biological parent anxiety attacks (suddenly felt terrified for no good reason and would shake/sweat/other physical symptoms) 0::2 0= No; 1= Yes; 2= Don't know
parent_angattk Integer Recommended Either biological parent anger attacks (suddenly lost control and "blew up" for no good reason/yelling/breaking things/hurting people) 0::2 0= No; 1= Yes; 2= Don't know
parent_anxiety Integer Recommended Either biological parent long periods more agitated/anxious/worried than other people so that they couldn't relax/couldn't concentrate/couldn't function normally 0::2 0= No; 1= Yes; 2= Don't know
parent_alcdrug Integer Recommended Either biological parent significant problem with alcohol/drugs that caused problems at home/work/with friends/was out of control 0::2 0= No; 1= Yes; 2= Don't know
parent_suicide Integer Recommended Either biological parent attempt or die by suicide 0::2 0= No; 1= Yes; 2= Don't know
parent_prison Integer Recommended Either biological parent go to prison 0::2 0= No; 1= Yes; 2= Don't know
swore Integer Recommended How often an adult in the house swore/insulted/acted in a way that made participant afraid they would be physically hurt 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
physpartic Integer Recommended How often an adult in the house pushed/grabbed/slapped participant or hit so hard it left a mark 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
yelledparent Integer Recommended How often parents or people who raised participant yelled at/insulted each other 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
physparent Integer Recommended How often parents or people who raised participant pushed/grabbed/slapped each other or hit each other so hard that it left a mark 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
chi_support Integer Recommended How often people in family did not look out for/support participant 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
care Integer Recommended How often people in the family didn't worry about whether participant had adequate food/clothing/medical care 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
sexual Integer Recommended How often someone oldertouched/fondled participant in a sexual way 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
ace_q6 Integer Recommended Was a biological parent ever lost to you through divorce, abandonment, or other reason? 0;1 0=No; 1=Yes
ace_q11 Integer Recommended Did other kids, including brothers or sisters, often or very often hit you, threaten you, pick on you or insult you? 0;1 0=No; 1=Yes
ace_q12 Integer Recommended Did you often or very often feel lonely, rejected or that nobody liked you? 0;1 0=No; 1=Yes
ace_q13 Integer Recommended Did you live for 2 or more years in a neighborhood that was dangerous, or where you saw people being assaulted? 0;1 0=No; 1=Yes
ace_q14 Integer Recommended Was there a period of 2 or more years when your family was very poor or on public assistance? 0;1 0=No; 1=Yes
parent_educ Integer Recommended What is the highest level of either of your parents or the people who raised you? 0::6 0 = None; 1 = Elementary school; 2 = Secondary school; 3 = Some post-secondary education; 4 = University graduate; 5 = Doctoral degree; 6 = Do not know
parntexp_1 Integer Recommended Before you were 18 years old, how often did you have each of the following experiences: One of your parents (or the people who raised you) had a serious emotional or mental health problem? 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
parntexp_2 Integer Recommended Before you were 18 years old, how often did you have each of the following experiences: One of your parents (or the people who raised you) had a serious alcohol or drug problem? 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
parntexp_3 Integer Recommended Before you were 18 years old, how often did you have each of the following experiences: One of your parents (or the people who raised you) was involved in criminal activities? 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
parntexp_4 Integer Recommended Before you were 18 years old, how often did you have each of the following experiences: Your parents (or the people who raised you) hit each other or were violent to each other? 0::4 0= Never; 1= Rarely; 2= Sometimes; 3= Often; 4= Very Often
timepoint_label String 50 Recommended Timepoint/visit label
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.