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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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Behavioral Activation for Depression Scale

0 Shared Subjects

N/A
Clinical Assessments
Depression
01/12/2017
behads01
03/18/2020
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* guid_r03
src_subject_id String 20 Required Subject ID how it's defined in lab/project sid_r03
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field interview_date_bads
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 the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query bads1 Integer Recommended 1. I stayed in bed for too long even though I had things to do. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads2 Integer Recommended 2. There were certain things I needed to do that I didn't do. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads3 Integer Recommended 3. I am content with the amount and types of things I did. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads4 Integer Recommended 4. I engaged in a wide and diverse array of activities. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads5 Integer Recommended 5. I made good decisions about what type of activities and/or situations I put myself in. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads6 Integer Recommended 6. I was active, but did not accomplish any of my goals for the day. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads7 Integer Recommended 7. I was an active person and accomplished the goals I set out to do. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads8 Integer Recommended 8. Most of what I did was to escape from or avoid something unpleasant. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads9 Integer Recommended 9. I did things to avoid feeling sadness or other painful emotions. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads10 Integer Recommended 10. I tried not to think about certain things. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads11 Integer Recommended 11. I did things even though they were hard because they fit in with my long-term goals for myself. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads12 Integer Recommended 12. I did something that was hard to do but it was worth it. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads13 Integer Recommended 13. I spent a long time thinking over and over about my problems. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads14 Integer Recommended 14. I kept trying to think of ways to solve a problem but never tried any of the solutions. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads15 Integer Recommended 15. I frequently spent time thinking about my past, people who have hurt me, mistakes I've made, and other bad things in my history. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads16 Integer Recommended 16. I did not see any of my friends. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads17 Integer Recommended 17. I was withdrawn and quiet, even around people I know well. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads18 Integer Recommended 18. I was not social, even though I had opportunities to be. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads19 Integer Recommended 19. I pushed people away with my negativity. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads20 Integer Recommended 20. I did things to cut myself off from other people. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads21 Integer Recommended 21. I took time off of work/school/chores/responsibilities simply because I was too tired or didn't feel like going in. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads22 Integer Recommended 22. My work/schoolwork/chores/responsibilities suffered because I was not as active as I needed to be. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads23 Integer Recommended 23. I structured my day's activities. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads24 Integer Recommended 24. I only engaged in activities that would distract me from feeling bad. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads25 Integer Recommended 25. I began to feel badly when others around me expressed negative feelings or experiences. 0 :: 6 0= Not at all; 1; 2= A little; 3; 4= A lot; 5; 6= Completely
Query bads_as Integer Recommended Activation score
Query bads_ars Integer Recommended Avoidance/Rumination score
Query bads_schis Integer Recommended Work/School Impairment score
Query bads_sis Integer Recommended Social Impairment score
Query bads_f5 Integer Recommended Factor 5 score
Query bads_ts Integer Recommended BADS total score
study String 100 Recommended Study
primary_language String 255 Recommended Subject's Primary Language userlanguage
ihend Date Recommended date ended (today's date if still in progress) enddate
restype Integer Recommended Response Type 0 = IP Address; 1 = Survey Preview; 2 = Survey Test; 4 = Imported; 8 = Spam; 9 = Survey Preview Spam; 12 = Imported Spam; 16 = Offline; 17 = Offline Survey Preview; 32 = EX; 40 = EX Spam; 48 = EX Offline;
prog Integer Recommended Progress progress
gml_dur Integer Recommended Trial 1 duration of task, seconds duration__in_seconds_
completed Integer Recommended Checks if completed 0::3 0=No; 1=Yes; 2=Yes, lost; 3=Unverified finished
date_updated Date Recommended Date record updated recordeddate
externalreference String 255 Recommended External Data Reference
sample Integer Recommended Training or randomized case 1::5 1 = randomized; 2 = training; 3=randomized-control; 4=randomized-intervention; 5=concurrent cohort-intervention
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.