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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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Data Structures with shared data
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Digit Span Memory Task

37 Shared Subjects

N/A
Clinical Assessments
Task Based
07/12/2017
pupil_digitspan01
03/23/2020
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* subject_key
src_subject_id String 20 Required Subject ID how it's defined in lab/project subject_id
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. dob
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY date_of_birth, date_of_rating
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
dode String 10 Recommended Date of Data Entry date_of_entry
Query aescode Integer Recommended Staff code number of person completing this form rater, rater_initials
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data notes
version_form String 121 Recommended Form used/assessment name
Query pupil_record Integer Recommended Was the pupil recorded in this trial? 0;1 0 = No; 1 = Yes
Query trial Integer Recommended Trial number 0::400; -777; -999 1 = first; 2= second; 3=third; 4=fourth; 5=fifth; 6=sixth; etc; -777=NA, -999=missing
Query ds2a Integer Recommended Digit Span: # of correct Digits Recalled out of 2 in Trial A 0::2 Pupil is recorded while ppt recall digits
Query ds2b Integer Recommended Digit Span: # of correct Digits Recalled out of 2 in Trial B 0::2 Pupil is recorded while ppt recall digits
Query ds3a Integer Recommended Digit Span: # of correct Digits Recalled out of 3 in Trial A 0::3 Pupil is recorded while ppt recall digits s3a
Query ds3b Integer Recommended Digit Span: # of correct Digits Recalled out of 3 in Trial B 0::3 Pupil is recorded while ppt recall digits s3b
Query ds4a Integer Recommended Digit Span: # of correct Digits Recalled out of 4 in Trial A 0::4 Pupil is recorded while ppt recall digits s4a
Query ds4b Integer Recommended Digit Span: # of correct Digits Recalled out of 4 in Trial B 0::4 Pupil is recorded while ppt recall digits s4b
Query ds5a Integer Recommended Digit Span: # of correct Digits Recalled out of 5 in Trial A 0::5 Pupil is recorded while ppt recall digits s5a
Query ds5b Integer Recommended Digit Span: # of correct Digits Recalled out of 5 in Trial B 0::5 Pupil is recorded while ppt recall digits s5b
Query ds6a Integer Recommended Digit Span: # of correct Digits Recalled out of 6 in Trial A 0::6 Pupil is recorded while ppt recall digits s6a
Query ds6b Integer Recommended Digit Span: # of correct Digits Recalled out of 6 in Trial B 0::6 Pupil is recorded while ppt recall digits s6b
Query ds7a Integer Recommended Digit Span: # of correct Digits Recalled out of 7 in Trial A 0::7 Pupil is recorded while ppt recall digits s7a
Query ds7b Integer Recommended Digit Span: # of correct Digits Recalled out of 7 in Trial B 0::7 Pupil is recorded while ppt recall digits s7b
Query ds8a Integer Recommended Digit Span: # of correct Digits Recalled out of 8 in Trial A 0::8 Pupil is recorded while ppt recall digits s8a
Query ds8b Integer Recommended Digit Span: # of correct Digits Recalled out of 8 in Trial B 0::8 Pupil is recorded while ppt recall digits s8b
Query ds9a Integer Recommended Digit Span: # of correct Digits Recalled out of 9 in Trial A 0::9 Pupil is recorded while ppt recall digits s9a
Query ds9b Integer Recommended Digit Span: # of correct Digits Recalled out of 9 in Trial B 0::9 Pupil is recorded while ppt recall digits s9b
Query max_digit_span Integer Recommended Maximum Digit Span Test is discontinued after scores of 0 on both trials of an item. Max DS is determined by greatest correct trial number. max_span
Query ds_effort_mm Integer Recommended Digit Span Comprehension: How hard did you try on this task? 0::145 ppt rate how hard they tried on DS task by marking a scale ranging from "No Effort at all, Did not try" to "My greatest effort, could not try harder". Scale is measured in mm. ds_comprehension:_effort
Query ds_taskdiff_mm Integer Recommended Digit Span Comprehension: How hard was this task? 0::145 ppt rate how hard they tried on DS task by marking a scale ranging from "Extremely Easy" to "Extremely Difficult". Scale is measured in mm. ds_comprehension:_task_difficulty
Query ds_undst_mm Integer Recommended Digit Span Comprehension: How well did you understand what you were being asked to do on this task? 0::145 ppt rate how hard they tried on DS task by marking a scale ranging from "Did not understand at all" to "Understood completely". Scale is measured in mm. ds_comprehension:_understanding
Query semantic Integer Recommended Semantic Fluency: Total number of words semantic_total
Query category Integer Recommended Category Fluency: Total number of words category_total
Query ds3c Integer Recommended Digit Span: # of correct Digits Recalled out of 3 in Trial C 0::3 Pupil is recorded while ppt recall digits s3c
Query ds3d Integer Recommended Digit Span: # of correct Digits Recalled out of 3 in Trial D 0::3 Pupil is recorded while ppt recall digits
Query ds6c Integer Recommended Digit Span: # of correct Digits Recalled out of 6 in Trial C 0::6 Pupil is recorded while ppt recall digits s6c
Query ds6d Integer Recommended Digit Span: # of correct Digits Recalled out of 6 in Trial D 0::6 Pupil is recorded while ppt recall digits
Query ds9c Integer Recommended Digit Span: # of correct Digits Recalled out of 9 in Trial C 0::9 Pupil is recorded while ppt recall digits s9c
Query ds9d Integer Recommended Digit Span: # of correct Digits Recalled out of 9 in Trial D 0::9 Pupil is recorded while ppt recall digits
Query max_dsa Integer Recommended Maximal Digit Span: Length in Trial A Pupil is recorded while ppt recall max digits. Span length is based on max_digit_span. Only collected if max_digit_span is not 3 or 6. If 2 good trials, disontinue span.
Query max_dsb Integer Recommended Maximal Digit Span: Length in Trial B Pupil is recorded while ppt recall max digits. Span length is based on max_digit_span. Only collected if max_digit_span is not 3 or 6. If 2 good trials, disontinue span.
Query max_dsc Integer Recommended Maximal Digit Span: Length in Trial C Pupil is recorded while ppt recall max digits. Span length is based on max_digit_span. Only collected if max_digit_span is not 3 or 6. If 2 good trials, disontinue span.
Query max_dsd Integer Recommended Maximal Digit Span: Length in Trial D Pupil is recorded while ppt recall max digits. Span length is based on max_digit_span. Only collected if max_digit_span is not 3 or 6. If 2 good trials, disontinue span.
Query form_completed Integer Recommended Was the form completed? 1::4 1=Yes; 2=No; 3=Unverified; 4 = N/A-Not in age range completed, was_form_completed?
digifor Integer Recommended Digit span forward 0::20
digibac Integer Recommended Digit span backward 0::16
digitaltotal Integer Recommended Digit span total score 0::32
t1wk Integer Recommended Weeks since Treatment Session 1
Query visit String 60 Recommended Visit name time_point
ds4c Integer Recommended Digit Span: # of correct Digits Recalled out of 4 in Trial C 0::4 Pupil is recorded while ppt recall digits s4c
ds5c Integer Recommended Digit Span: # of correct Digits Recalled out of 5 in Trial C 0::5 Pupil is recorded while ppt recall digits s5c
ds7c Integer Recommended Digit Span: # of correct Digits Recalled out of 7 in Trial C 0::7 Pupil is recorded while ppt recall digits s7c
ds8c Integer Recommended Digit Span: # of correct Digits Recalled out of 8 in Trial C 0::8 Pupil is recorded while ppt recall digits s8c
score_ds5b Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 5 in Trial B 0;1 0 = incorrect; 1 = correct
score_ds6a Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 6 in Trial A 0;1 0 = incorrect; 1 = correct
score_ds6b Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 6 in Trial B 0;1 0 = incorrect; 1 = correct
score_ds7a Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 7 in Trial A 0;1 0 = incorrect; 1 = correct
score_ds7b Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 7 in Trial B 0;1 0 = incorrect; 1 = correct
score_ds8a Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 8 in Trial A 0;1 0 = incorrect; 1 = correct
score_ds8b Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 8 in Trial B 0;1 0 = incorrect; 1 = correct
score_ds9a Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 9 in Trial A 0;1 0 = incorrect; 1 = correct
score_ds9b Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 9 in Trial B 0;1 0 = incorrect; 1 = correct
score_ds3c Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 3 in Trial C 0;1 0 = incorrect; 1 = correct
score_ds3d Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 3 in Trial D 0;1 0 = incorrect; 1 = correct
score_ds6c Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 6 in Trial C 0;1 0 = incorrect; 1 = correct
score_ds6d Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 6 in Trial D 0;1 0 = incorrect; 1 = correct
score_ds9c Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 9 in Trial C 0;1 0 = incorrect; 1 = correct
score_ds9d Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 9 in Trial D 0;1 0 = incorrect; 1 = correct
score_ds4c Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 4 in Trial C 0;1 0 = incorrect; 1 = correct
score_ds5c Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 5 in Trial C 0;1 0 = incorrect; 1 = correct
score_ds7c Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 7 in Trial C 0;1 0 = incorrect; 1 = correct
score_ds8c Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 8 in Trial C 0;1 0 = incorrect; 1 = correct
score_ds2a Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 2 in Trial A 0;1 0 = incorrect; 1 = correct
score_ds2b Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 2 in Trial B 0;1 0 = incorrect; 1 = correct
score_ds3a Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 3 in Trial A 0;1 0 = incorrect; 1 = correct
score_ds3b Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 3 in Trial B 0;1 0 = incorrect; 1 = correct
score_ds4a Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 4 in Trial A 0;1 0 = incorrect; 1 = correct
score_ds4b Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 4 in Trial B 0;1 0 = incorrect; 1 = correct
score_ds5a Integer Recommended Digit Span (item coded as score): All Digits Recalled out of 5 in Trial A 0;1 0 = incorrect; 1 = correct
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.