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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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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:

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  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
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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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Driving Cognitions Questionnaire

0 Shared Subjects

The Driving Cognitions Questionnaire: Development and preliminary psychometric properties Anke Ehlers, Joanne E. Taylor, Thomas Ehring, Stefan G. Hofmann, Frank P. Deane, Walton T. Roth, John V. Podd https://doi.org/10.1016/j.janxdis.2006.08.002
Clinical Assessments
Cognitive; Questionnaire
10/21/2020
dcq01
12/15/2021
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
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
dcq01 Integer Recommended I will not be able to react fast enough 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq02 Integer Recommended People I care about will criticize me 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq03 Integer Recommended I will be unable to catch my breath 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq04 Integer Recommended I cannot control whether other cars will hit me 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq05 Integer Recommended Other people will notice that I am anxious 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq06 Integer Recommended I will tremble and not be able to steer 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq07 Integer Recommended I will be injured 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq08 Integer Recommended People will think I am a bad driver 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq09 Integer Recommended I will injure someone 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq10 Integer Recommended I will not be able to think clearly 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq11 Integer Recommended I will die in an accident 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq12 Integer Recommended I will be trapped 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq13 Integer Recommended I will cause an accident 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq14 Integer Recommended I will be stranded 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq15 Integer Recommended I will hold up traffic and people will be angry 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq16 Integer Recommended My heart will stop beating 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq17 Integer Recommended People will laugh at me 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq18 Integer Recommended I will not be able to move 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq19 Integer Recommended People riding with me will be hurt 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq20 Integer Recommended I will lose control of myself and will act stupidly or dangerously 0::4 0 = Never; 1 = Rarely; 2 = Half the time; 3 = Usually; 4 = Always
dcq_pac Integer Recommended Panic-related concerns score 0::28 sum(dcq03, dcq06, dcq10, dcq12, dcq14, dcq16, dcq18)
dcq_arc Integer Recommended Accident-related concerns score 0::28 sum(dcq01, dcq04, dcq07, dcq09, dcq11, dcq13, dcq19)
dcq_sc Integer Recommended Social concerns score 0::24 sum(dcq02, dcq05, dcq08, dcq15, dcq17, dcq20)
dcq_total Integer Recommended Driving Cognitions Total Score 0::80 sum(dcq_pac, dcq_arc, dcq_sc)
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.