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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). 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.

  • 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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Cognitive Appraisal of Risky Events

211 Shared Subjects

N/A
Clinical Assessments
Personality
10/05/2016
caore01
10/05/2016
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 child_id, pid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field date_taken
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. candidate_age
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query ca1_6months Integer Recommended grabbing pushing, or shoving someone; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 2= pretty unlikely, 3= somewhat unlikely, 4=somewhat likely, 5=pretty likely 6= very likely 7= extremely likely
Query ca1_negative Integer Recommended grabbing pushing, or shoving someone; likelihood of negative consequences 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca1_positive Integer Recommended grabbing pushing, or shoving someone; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca2_6months Integer Recommended missing class or work; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca2_negative Integer Recommended missing class or work; likelihood of negative consequences 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca2_positive Integer Recommended missing class or work; likelihood of posivie consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca3_6months Integer Recommended making a scene in public; likelihood of engaging in acitivity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca3_negative Integer Recommended making a scene in public; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca3_positive Integer Recommended making a scene in public; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca4_6months Integer Recommended not studying for exam or quiz; likelihood of engaging in activity in next 6 motnhs 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca4_negative Integer Recommended not studying for exam or quiz; likelihood of negative consequences 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca4_positive Integer Recommended not studying for exam or quix; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca5_6months Integer Recommended damaging/destroying public property; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca5_negative Integer Recommended damaging/destroying public property; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca5_positive Integer Recommended damaging/destroying public property; likelihood of positivev consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca6_6months Integer Recommended leaving tasks or assignments for the last minute; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca6_negative Integer Recommended leaving tasks or assignments for the last minute; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca6_positive Integer Recommended leaving tasks or assignments for the last minute; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca7_6months Integer Recommended hitting someone with a weapon or object; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca7_negative Integer Recommended hitting someone with a weapon or object; likelihood of negative consequences 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca7_positive Integer Recommended hitting someone with a weapon or object; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca8_6months Integer Recommended rock or mountain climbing; likelihood of engaging in acitivity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca8_negative Integer Recommended rock or mountain climbing; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca8_positive Integer Recommended rock or mountain climbing; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca9_6months Integer Recommended getting into a fight or argument; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca9_negative Integer Recommended getting into a fight or argument; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca9_positive Integer Recommended getting into fight or argument; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca10_6months Integer Recommended playing non-contact team sports; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca10_negative Integer Recommended playing non-contact team sports; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca10_positive Integer Recommended playing non-contact team sports; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca11_6months Integer Recommended failing to do assigments; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca11_negative Integer Recommended failing to do assigments; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca11_positive Integer Recommended failing to do assigments; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca12_6months Integer Recommended slapping someone; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca12_negative Integer Recommended slapping someone; likelihood of negative consequences 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca12_positive Integer Recommended slapping someone; likelihood of positive consequences 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca13_6months Integer Recommended not studying or working hard enough; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca13_negative Integer Recommended not studying or working hard enough; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca13_positive Integer Recommended not studying or working; likelihood of positive cosequences 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca14_6months Integer Recommended punching or hitting someone with fist; likelihood of engaging in acitivity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca14_negative Integer Recommended punching or hitting someone with fist; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca14_positive Integer Recommended punching or hitting someone with fist; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca15_6months Integer Recommended snow or water-skiing; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca15_negative Integer Recommended snow or water-skiing; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca15_positive Integer Recommended snow or water-skiing; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca16_6months Integer Recommended playing individual sports; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca16_negative Integer Recommended playing individual sports; likelihood ofnegative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca16_positive Integer Recommended playing individual sports; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca17_6months Integer Recommended enter a sweepstakes/betting pool; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca17_negative Integer Recommended enter a sweepstakes/betting pool; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca17_positive Integer Recommended enter a sweepstakes/betting pool; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca18_6months Integer Recommended playing a betting game; likelihood of engaging in activity in next 6 months 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca18_negative Integer Recommended playing betting games; likelihood of negative consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query ca18_positive Integer Recommended playing betting games; likelihood of positive consequence 1::7 1=not likely at all, 4=somewhat likely, 7= extremely likely
Query version_form String 121 Required Form used/assessment name
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data
Query carersoc_1 Integer Recommended How much do you want people to like you? 1 :: 5 1 = Not at all; 2 = A little; 3 = Somewhat; 4 = A lot; 5 = A ton!; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_2 Integer Recommended How much do you NOT want people to DISLIKE you? 1 :: 5 1 = Not at all; 2 = A little; 3 = Somewhat; 4 = A lot; 5 = A ton!; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_3 Integer Recommended Smoking marijuana would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_4 Integer Recommended NOT smoking marijuana would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_5 Integer Recommended Trying/using drugs other than alcohol or marijuana would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_6 Integer Recommended NOT trying/using drugs other than alcohol or marijuana would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_7 Integer Recommended Drinking alcohol would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_8 Integer Recommended NOT drinking alcohol would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_9 Integer Recommended Binge drinking (drinking more than 5 alcoholic beverages) would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_10 Integer Recommended NOT binge drinking (drinking more than 5 alcoholic beverages) would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_11 Integer Recommended Playing drinking games would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_12 Integer Recommended NOT playing drinking games would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_13 Integer Recommended Driving after drinking alcohol would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_14 Integer Recommended NOT driving after drinking alcohol would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_15 Integer Recommended Grabbing, pushing, or shoving someone would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_16 Integer Recommended NOT grabbing, pushing, or shoving someone would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_17 Integer Recommended Damaging/destroying public property (ex: graffiti) would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_18 Integer Recommended NOT damaging/destroying public property (ex: graffiti)would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_19 Integer Recommended Hitting someone with a weapon or object would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_20 Integer Recommended NOT hitting someone with a weapon or object would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_21 Integer Recommended Slapping someone would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_22 Integer Recommended NOT slapping someone would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_23 Integer Recommended Punching or hitting someone with fist would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_24 Integer Recommended NOT punching or hitting someone with fist would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_25 Integer Recommended Driving recklessly would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_26 Integer Recommended NOT driving recklessly would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_27 Integer Recommended Texting while driving would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_28 Integer Recommended NOT texting while driving would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_29 Integer Recommended Talking on the phone while driving would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
Query carersoc_30 Integer Recommended NOT talking on the phone while driving would make people: 1 :: 5 1 = Like me a lot less; 2 = Like me less; 3 = No difference; 4 = Like me more; 5 = Like me a lot more; -99= N/A; 77= Refused ; 88= Missing
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.