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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:
  • 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.

    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.

  • 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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Filter Cart
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Description
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Data Structures with shared data
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Adult ADHD Self-Report Scale Screener

2,350 Shared Subjects

N/A
Clinical Assessments
Diagnostic
11/21/2016
sradhd01
10/14/2021
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* 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 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 subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender, sex
Query sradhd_finaldetail Integer Recommended How often do you have trouble wrapping up the final details of a project, once the challenging parts have been done? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_1, month6_putofflastminute, pasrs1
Query sradhd_organize Integer Recommended How often do you have difficulty getting things in order when you have to do a task that requires organization? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_2, organize, pasrs2
Query sradhd_remappointment Integer Recommended How often do you have problems remembering appointments or obligations? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_3, pasrs3, remappointment
Query sradhd_avoidstart Integer Recommended When you have a task that requires a lot of thought, how often do you avoid or delay getting started? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_4, aviodstart, pasrs4
Query sradhd_fidget Integer Recommended How often do you fidget or squirm with your hands or feet when you have to sit down for a long time? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_5, fidget, pasrs5
Query sradhd_overactive Integer Recommended How often do you feel overly active and compelled to do things, like you were driven by a motor? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_6, overactive, pasrs6
Query asrs_score Integer Recommended ADHD Self report total score asrs_adhd_rs, asrs_part_a_score
Query asrs_exclusionscore Integer Recommended Exclusion score 1 point for items 1-3 if the item score is 2 or higher; 1 point for items 4-6 if the item score is 3 or higher
Query sradhd_diffproj Integer Recommended How often do you make careless mistakes when you have to work on a boring or difficult project? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_7, pasrs7
Query sradhd_repwork Integer Recommended How often do you have difficulty keeping your attention when you are doing boring or repetitive work? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_8, pasrs8
Query sradhd_diffconc Integer Recommended How often do you have difficulty concentrating on what people say to you, even when they are speaking to you directly? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_9, diffconcspeak, month6_diffconc, pasrs9
Query sradhd_misplace Integer Recommended How often do you misplace or have difficulty finding things at home or at work? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_10, pasrs10
Query sradhd_distract Integer Recommended How often are you distracted by activity or noise around you? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_11, distracted, pasrs11
Query sradhd_meeting Integer Recommended How often do you leave your seat in meeting or other situations in which you are expected to remain seated? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_12, month6_leftseatunexpectedly, pasrs12
Query sradhd_restl Integer Recommended How often do you feel restless or fidgety? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_13, pasrs13
Query sradhd_relax Integer Recommended How often do you have difficulty unwinding and relaxing when you have time to yourself? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_14, month6_troublerelaxing, pasrs14
Query sradhd_soctalk Integer Recommended How often do you find yourself talking to much when you are in social situations? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_15, pasrs15
Query sradhd_finsent Integer Recommended When you're in a conversation, how often do you find yourself finishing the sentences of the people you are talking to, before they can finish them themselves? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_16, month6_finishedsentences, pasrs16
Query sradhd_turn Integer Recommended How often do you have difficulty waiting your turn in situations when turn taking is required? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_17, pasrs17
Query sradhd_inter Integer Recommended How often do you interrupt others when they are busy? 0::4; 999 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often; 999 = Missing asrs_q_18, pasrs18
site String 101 Recommended Site Study Site siteid
Query timept Integer Recommended Time Point 888 = not applicable; 999 = missing timepoint
Query month6_dependentuponothers Integer Recommended Dependent on Others 0::4 0=Never; 1=Rarely; 2=Sometimes; 3=Often; 4=Very Often
Query sldc150 Integer Recommended ADHD. Current, age of onset life_howoldfirstadhd
Query life_howmanyyearsadhd Integer Recommended NCS-R ADHD: ADHD - Number of Years
Query asrs_flag Integer Recommended Exclusion score flag 0;1 1=asrs_exclusionscore is 4 or higher; 0=asrs_exclusionscore lower than 4
Query visit String 60 Recommended Visit name
respondent String 20 Recommended Respondent Mother;Father;Parent;Guardian;Teacher;Child;Self;Caregiver;Partner;Other
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data
version_form String 121 Recommended Form used/assessment name
visit_year Integer Recommended Year of visit
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.