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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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Dickman Impulsivity Inventory

1,223 Shared Subjects

N/A
Clinical Assessments
Personality
11/21/2016
dickman01
11/22/2016
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* nimhid
src_subject_id String 20 Required Subject ID how it's defined in lab/project ptid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field testdate
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. age
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query visit String 60 Recommended Visit name visitnum
Query dick1 Integer Recommended I would travel a great deal if I had the chance 0;1 1=True; 0=False
Query dick2 Integer Recommended I don't like to make decisions quickly, even simple decisions, such as choosing what to wear, or what to have for dinner 0;1 1=True; 0=False
Query dick3 Integer Recommended I seldom tell lies 0;1 1=True; 0=False
Query dick4 Integer Recommended I will often say whatever comes into my head without thinking first 0;1 1=True; 0=False
Query dick5 Integer Recommended I have many hobbies 0;1 1=True; 0=False
Query dick6 Integer Recommended I am good at taking advantage of unexpected opportunities, where you have to do something immediately or lose your chance 0;1 1=True; 0=False
Query dick7 Integer Recommended I would rather read fiction than non-fiction 0;1 1=True; 0=False
Query dick8 Integer Recommended I enjoy working out problems slowly and carefully 0;1 1=True; 0=False
Query dick9 Integer Recommended I would not drive over the speed limit, even if I knew I would not be caught 0;1 1=True; 0=False
Query dick10 Integer Recommended I am uncomfortable when I have to make up my mind rapidly 0;1 1=True; 0=False
Query dick11 Integer Recommended I consider myself a sympathetic person 0;1 1=True; 0=False
Query dick12 Integer Recommended I frequently make appointments without thinking about whether I will be able to keep them 0;1 1=True; 0=False
Query dick13 Integer Recommended I enjoy exercising 0;1 1=True; 0=False
Query dick14 Integer Recommended I like to take part in really fast-paced conversations, where you don't have much time to think before you speak 0;1 1=True; 0=False
Query capi4 Integer Recommended I like most people 0;1 0=Disagree; 1=Agree dick15
Query dick16 Integer Recommended I frequently buy things without thinking about whether or not I can really afford them 0;1 1=True; 0=False
Query dick17 Integer Recommended I watch television about as much as most people do 0;1 1=True; 0=False
Query dick18 Integer Recommended Most of the time, I can put my thoughts into words very rapidly 0;1 1=True; 0=False
Query dick19 Integer Recommended I enjoy outdoor activities 0;1 1=True; 0=False
Query dick20 Integer Recommended I often make up my mind without taking the time to consider the situation from all angles 0;1 1=True; 0=False
Query dick21 Integer Recommended I have read more books than most of my friends 0;1 1=True; 0=False
Query dick22 Integer Recommended I don't like to do things quickly, even when I am doing something that is not very difficult 0;1 1=True; 0=False
Query dick23 Integer Recommended I am more alert than most people late at night 0;1 1=True; 0=False
Query dick24 Integer Recommended Often, I don't spend enough time thinking over a situation before I act 0;1 1=True; 0=False
Query dick25 Integer Recommended I like to read about scientific research 0;1 1=True; 0=False
Query dick26 Integer Recommended I would enjoy working at a job that required me to make a lot of split-second decisions 0;1 1=True; 0=False
Query dick27 Integer Recommended Religion is very important in my life 0;1 1=True; 0=False
Query dick28 Integer Recommended I often get into trouble because I don't think before I act 0;1 1=True; 0=False
Query dick29 Integer Recommended I have more curiosity than most people 0;1 1=True; 0=False
Query dick30 Integer Recommended I like sports and games in which you have to choose your next move very quickly 0;1 1=True; 0=False
Query dick31 Integer Recommended I read the newspaper almost every day 0;1 1=True; 0=False
Query dick32 Integer Recommended Many times the plans I make don't work out because I haven't gone over them carefully enough in advance 0;1 1=True; 0=False
Query dick33 Integer Recommended I sometimes get depressed for no good reason 0;1 1=True; 0=False
Query dick34 Integer Recommended People have admired me because I can think quickly 0;1 1=True; 0=False
Query dick35 Integer Recommended I enjoy it when I get a chance to visit a city I've never seen before 0;1 1=True; 0=False
Query dick36 Integer Recommended I rarely get involved in projects without first considering the potential problems 0;1 1=True; 0=False
Query dick37 Integer Recommended I am easily embarrassed 0;1 1=True; 0=False
Query dick38 Integer Recommended I have often missed out on opportunities because I couldn't make up my mind fast enough 0;1 1=True; 0=False
Query dick39 Integer Recommended I am more alert than most people early in the morning 0;1 1=True; 0=False
Query dick40 Integer Recommended Before making any important decision, I carefully weigh the pros and cons 0;1 1=True; 0=False
Query dick41 Integer Recommended I make an effort to take care of my health 0;1 1=True; 0=False
Query dick42 Integer Recommended I try to avoid activities where you have to act without much time to think first 0;1 1=True; 0=False
Query dick43 Integer Recommended I generally go to bed at a later hour than most people do 0;1 1=True; 0=False
Query dick44 Integer Recommended I am good at careful reasoning 0;1 1=True; 0=False
Query dick45 Integer Recommended I think that I am more creative than most of my friends 0;1 1=True; 0=False
Query pdq46 Integer Recommended I do a lot of things without considering the consequences. 0;1;-7 0=False; 1=True; -7=Refused dick46
Query dysfunc_pos Integer Recommended Dysfunctional Impulsivity positive score
Query dysfunc_neg Integer Recommended Dysfunctional Impulsivity negative score
Query dysfunc_total Integer Recommended Total Dysfunctional Impulsivity score
Query func_pos Integer Recommended Functional Impulsivity positive score
Query func_neg Integer Recommended Functional Impulsivity negative score
Query func_total Integer Recommended Total Functional Impulsivity score
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.