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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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DIGS - Antisocial Personality

0 Shared Subjects

The Diagnostic Interview for Genetic Studies (DIGS), a clinical interview especially constructed for the assessment of major mood and psychotic disorders and their spectrum conditions. The DIGS, which was developed and piloted as a collaborative effort of investigators from sites in the National Institute of Mental Health (NIMH) Genetics Initiative DIGS - Section: Antisocial Personality doi:10.1001/archpsyc.1994.03950110009002 DOI: 10.1017/s0033291700034796
Clinical Assessments
Personality
06/07/2022
digs_antisocial01
06/09/2022
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
digs_antisoc_skip_school Integer Recommended Before you were 15 years old: did you often skip school? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_run_away Integer Recommended Before you were 15 years old: did you run away from home overnight more than once or did you run away from home without returning? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_fights Integer Recommended Before you were 15 years old: did you often start physical fights? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_weapon Integer Recommended Before you were 15 years old: did you more than once use a weapon like a club, gun, or knife in a fight? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_stealing Integer Recommended Before you were 15 years old: did you more than once steal things or did you more than once forge anyone's signature on a check or credit card? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_animal_cruel Integer Recommended Before you were 15 years old: were you often mean to animals including pets or did you ever hurt an animal on purpose? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_harm_others Integer Recommended Before you were 15 years old: did you physically hurt another person on purpose (other than in a fight)? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_set_fires Integer Recommended Before you were 15 years old: did you ever set fires when you were not supposed to? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_destroy_prop Integer Recommended Before you were 15 years old: did you ever destroy someone's property on purpose (other than fire setting)? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_bully_others Integer Recommended Before you were 15 years old: did you often bully, threaten, or intimidate others? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_break_in Integer Recommended Before you were 15 years old: did you ever break into someone's house, building or car? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_lying Integer Recommended Before you were 15 years old: did you often tell lies? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_forced_sex Integer Recommended Before you were 15 years old: did you ever force someone to have sex with you? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_take_property Integer Recommended Before you were 15 years old: did you ever take money or property from someone else by threatening them or using force, like snatching a purse or robbing someone? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_skip_school_y Integer Recommended If yes: how old were you the first time you skipped school? Ons Age
digs_antisoc_lying_y String 500 Recommended If yes: Why did you tell a lot of lies?
digs_antisoc_sym_1_sum Integer Recommended INTERVIEWER: Count positive symptoms 1a-n enter here. Total Positive Symptoms
digs_antisoc_2_sum_3 Integer Recommended INTERVIEWER: Is the total Positive Symptoms 3 or more? 0;1;9 0= No; 1= Yes; 9= Unk
digs_antisoc_age_sym Integer Recommended How old were you the first time you (list positive symptoms in question 1)? Age
digs_antisoc_social_change Integer Recommended Because of (positive behaviors) was there a difference in your social life or in how you managed your school, work, or household chores? 0;1 0= No; 1= Yes
digs_antisoc_4_y String 500 Recommended If yes to difference in your social life or in how you managed your school, work, or household chores: Specify.
digs_antisoc_unemployed_6 Integer Recommended In the last five years, have you been unemployed for six months or more, other than when you were in school, sick, on strike, laid off, a full-time housewife, retired, or in jail? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_miss_work Integer Recommended When you were working, were you often absent from work when you were not ill or did you repeatedly miss work because you did not want to go? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_quit_jobs_15 Integer Recommended Since you were 15, have you quit three or more jobs without having another job lined up? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_illegal_15 Integer Recommended Since you were 15, have you repeatedly done things that you could have been arrested for like stealing, or engaging in illegal occupations such as selling drugs or stolen goods, destroying property, or harassing others? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_attack_15 Integer Recommended Since you were 15, have you often thrown things, hit or physically attacked anyone (including your wife/husband, partner, or children)? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_debts_15 Integer Recommended Since you were 15, have you often failed to pay back debts that you owed like credit card charges or loans, or have you failed to take care of other financial responsibilities like child support or providing support for other dependents? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_travel_15 Integer Recommended Since you were 15, have you ever traveled from place to place without knowing where you were going to stay or work or have you had no regular place to live for a month or more? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_con_others_15 Integer Recommended Since you were 15, have you frequently lied, used an alias, or conned others for personal profit or pleasure? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_dwi_15 Integer Recommended Since you were 15, have you received three or more speeding tickets or have you often driven while intoxicated? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_respons_child Integer Recommended Since you were 15, have you ever been responsible for children? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_child_food Integer Recommended Since you were 15, has anyone ever said that you were not taking proper care of a child of yours (or a child you were responsible for) like: not giving the child enough food? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_child_clean Integer Recommended Since you were 15, has anyone ever said that you were not taking proper care of a child of yours (or a child you were responsible for) like: not keeping the child clean resulting in his/her illness? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_child_medical Integer Recommended Since you were 15, has anyone ever said that you were not taking proper care of a child of yours (or a child you were responsible for) like: not getting medical care when the child was seriously ill? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_child_care Integer Recommended Since you were 15, has anyone ever said that you were not taking proper care of a child of yours (or a child you were responsible for) like: leaving the child with neighbors because you were not able to take care of the child at home (except for babysitting)? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_child_no_care Integer Recommended Since you were 15, has anyone ever said that you were not taking proper care of a child of yours (or a child you were responsible for) like: not arranging for anyone to take care of the child when you were away? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_child_money Integer Recommended Since you were 15, has anyone ever said that you were not taking proper care of a child of yours (or a child you were responsible for) like: running out of money to take care of the child more than once because you spent the money on yourself? 0 :: 2 0= No; 1= Yes; 2= Only During Alc/Drugs
digs_antisoc_love_faithful Integer Recommended Since you were 15, have you ever been faithful to one person in a romantic or love relationship for one year or longer; that is, you did not have an affair or any one-night stands during that time? 0;1 0= No; 1= Yes
digs_antisoc_okay_illegal Integer Recommended Did you feel it was okay for you to have stolen, hurt, hit, destroyed, or any other antisocial acts? 0;1 0= No; 1= Yes
digs_antisoc_rec_age Integer Recommended How old were you the last time you did any of these things? Rec Age
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.