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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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Brown-Goodwin Aggression Scale

48 Shared Subjects

N/A
Clinical Assessments
Aggression
01/14/2020
bgas01
07/01/2022
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
aggress_child_1 Integer Recommended While you were in school as a child were you ever a discipline problem (e.g. being reprimanded, detained, suspended, expelled)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_1 Integer Recommended While you were in school as an adolescent were you ever a discipline problem (e.g. being reprimanded, detained, suspended, expelled)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_1 Integer Recommended While you were in school as an adult were you ever a discipline problem (e.g. being reprimanded, detained, suspended, expelled)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_1 String 200 Recommended When did they have a discipline problem?
aggress_describe_1 String 200 Recommended What happened? Describe Discipline Problem:
aggress_child_2 Integer Recommended Did you ever have any difficulty getting along with your teachers as a child(e.g. interpersonal conflict)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_2 Integer Recommended Did you ever have any difficulty getting along with your teachers as an adolescent (e.g. interpersonal conflict)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_2 Integer Recommended Did you ever have any difficulty getting along with your teachers as an adult(e.g. interpersonal conflict)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_2 String 200 Recommended When did they have trouble getting along with their teachers?
aggress_describe_2 String 200 Recommended What happened? Describe Problem with Teachers:
aggress_child_3 Integer Recommended Have you had angry outbursts or temper tantrums in the past as a child (e.g. behavior not directed toward specific other)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_3 Integer Recommended Have you had angry outbursts or temper tantrums in the past as an adolescent (e.g. behavior not directed toward specific other)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_3 Integer Recommended Have you had angry outbursts or temper tantrums in the past as an adult (e.g. behavior not directed toward specific other)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_3 String 200 Recommended When did these temper tantrums or angry outbursts happen?
aggress_what_3 String 200 Recommended What are these outburts like typically?
aggress_describe_3 String 200 Recommended What happened? Describe Angry Outbursts or Temper Tantrums:
aggress_child_4 Integer Recommended Did you ever have difficulty getting along with your supervisor at work as a child (include military service, voluntary work, community service)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_4 Integer Recommended Did you ever have difficulty getting along with your supervisor at work as an adolescent (include military service, voluntary work, community service)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_4 Integer Recommended Did you ever have difficulty getting along with your supervisor at work as an adult (include military service, voluntary work, community service)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
sles96 String 200 Recommended Description of time you had problems getting along with anyone at work aggress_when_4
aggress_describe_4 String 200 Recommended What happened? Describe Problem with Supervisor at Work:
aggress_child_5 Integer Recommended Have you had severe arguments with your family and friends as a child (consider severe arguments for inclusion)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_5 Integer Recommended Have you had severe arguments with your family and friends as an adolescent (consider severe arguments for inclusion)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_5 Integer Recommended Have you had severe arguments with your family and friends as an adult (consider severe arguments for inclusion)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_5 String 200 Recommended When did you have severe arguments with familt or friends?
aggress_describe_5 String 200 Recommended What happened? Describe Severe Arguments with Family or Friends:
aggress_child_6 Integer Recommended Have you ever gotten into physical fights as a child (including family and unknown others)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_6 Integer Recommended Have you ever gotten into physical fights as an adolescent (including family and unknown others)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_6 Integer Recommended Have you ever gotten into physical fights as an adult(including family and unknown others)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_6 String 200 Recommended When did you get into physical fights?
aggress_describe_6 String 200 Recommended What happened? Describe physical fights:
aggress_child_7 Integer Recommended Have you ever destroyed someone's or your own property as a child (no matter how small an incident)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_7 Integer Recommended Have you ever destroyed someone's or your own property as an adolescent (no matter how small an incident)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_7 Integer Recommended Have you ever destroyed someone's or your own property as an adult (no matter how small an incident)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_7 String 200 Recommended When did you destroy someone's or your own property?
aggress_describe_7 String 200 Recommended What happened? Describe destruction of property:
aggress_child_8 Integer Recommended Have you ever done anything that was against the law and for which you didn't get caught as a child (Do not exclude illegal acts from item 7)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_8 Integer Recommended Have you ever done anything that was against the law and for which you didn't get caught as an adolescent (Do not exclude illegal acts from item 7)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_8 Integer Recommended Have you ever done anything that was against the law and for which you didn't get caught as an adult (Do not exclude illegal acts from item 7)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_8 String 200 Recommended When did you do something against the law?
aggress_describe_8 String 200 Recommended What happened? Describe when you broke the law:
aggress_child_9 Integer Recommended Have you ever been in trouble with the police? No matter how small and incident as a child (include moving traffic violations, disturbance of the peace, etc.)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_9 Integer Recommended Have you ever been in trouble with the police? No matter how small and incident as an adolescent (include moving traffic violations, disturbance of the peace, etc.)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_9 Integer Recommended Have you ever been in trouble with the police? No matter how small and incident as an adult (include moving traffic violations, disturbance of the peace, etc.)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_9 String 200 Recommended When did you get in trouble with the police?
dawba_k7_desc String 255 Recommended Behavior/Trouble - Trouble with the police - describe aggress_describe_9
aggress_child_10 Integer Recommended Have you ever tried to hurt someone, other than yourself, with a weapon as a child (e.g. knife, gun, blunt instrument)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_10 Integer Recommended Have you ever tried to hurt someone, other than yourself, with a weapon as an adolescent (e.g. knife, gun, blunt instrument)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_10 Integer Recommended Have you ever tried to hurt someone, other than yourself, with a weapon as an adult (e.g. knife, gun, blunt instrument)? 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_10 String 200 Recommended When did you try to hurt someone with a weapon?
aggress_describe_10 String 200 Recommended What happened? Describe attempt to hurt someone with a weapon:
aggress_child_11 Integer Recommended Have you ever inflicted violence on yourself as a child? (Only rate non-suicidal attempt behavior, e.g. self-mutilation, head banging, wrist scratching, minor burns, etc. which has not been scored as a suicide attempt). 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adol_11 Integer Recommended Have you ever inflicted violence on yourself as an adolescent? (Only rate non-suicidal attempt behavior, e.g. self-mutilation, head banging, wrist scratching, minor burns, etc. which has not been scored as a suicide attempt). 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_adult_11 Integer Recommended Have you ever inflicted violence on yourselfas an adlult? (Only rate non-suicidal attempt behavior, e.g. self-mutilation, head banging, wrist scratching, minor burns, etc. which has not been scored as a suicide attempt). 1::4 1= Never; 2= Rarely (1-3); 3= Occasionally (4-10); 4= Often (>10)
aggress_when_11 String 200 Recommended When did you inflict harm on yourself?
aggress_describe_11 String 200 Recommended What happened? Describe harm on self:
aggress_child_total Integer Recommended Child Total Score:
aggress_adol_total Integer Recommended Adolescent total score:
aggress_adult_total Integer Recommended Adult total score:
bga_7days_8 Integer Recommended In the past 7 days, how often were you inflicting violence on themselves, suicide attempts, or other self-harm? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_9 Integer Recommended In the past 7 days, how often have you had military disciplinary problems outside of the military judicial system? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_10 Integer Recommended In the past 7 days, how often have you had difficulty with military judicial system involving cout/judicial system? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_1 Integer Recommended In the past 7 days, how often were you having severe arguments with friends, family, or others? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_2 Integer Recommended In the past 7 days, how often were you getting into physical fights? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_3 Integer Recommended In the past 7 days, how often were you hurting someone with a weapon? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_4 Integer Recommended In the past 7 days, what was the frequency of school discipline problems/difficulty getting along with/arguing with teachers? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_5 Integer Recommended In the past 7 days, what was the frequency of having trouble getting along/fighting with supervisor? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_6 Integer Recommended In the past 7 days, how often were you doing illegal things without being caught by the police? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
bga_7days_7 Integer Recommended In the past 7 days, how often were you getting in trouble with the police? 0::4 0 = No occurrence; 1 = One event; 2 = Two events, a ''couple'' or a ''few''; 3 = Three events, ''several'', ''frequent'', or ''some''; 4 = Four or more events, ''many'', ''numerous'', or ''multiple''
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.