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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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Data Structures with shared data
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Eating Disorder Symptom Impact Scale

0 Shared Subjects

The aim of this measure is to assess the specific caregiving burden of both anorexia nervosa and bulimia nervosa. doi:10.1186/1477-7525-6-28
Clinical Assessments
Eating Disorder
04/14/2021
edsis01
09/13/2021
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
src_subject_id String 20 Required Subject ID how it's defined in lab/project
interview_age Integer Recommended 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.
interview_date Date Recommended Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY
sex String 20 Recommended Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported
edsis_1s Integer Recommended During the past month, how often have you thought about how your friends/relatives have stopped visiting? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_2s Integer Recommended During the past month, how often have you thought about losing your friends? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_3s Integer Recommended During the past month, how often have you thought about feeling unable to go out for evenings, weekends or on vacation? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_4s Integer Recommended During the past month, how often have you thought about cancelling or refusing plans to see friends or relatives? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_5g Integer Recommended During the past month, how often have you thought about feeling that I should have noticed it before it became so bad? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_6g Integer Recommended During the past month, how often have you thought about feeling that I have let her/him down? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_7g Integer Recommended During the past month, how often have you thought about feeling that there could have been something that I should have done? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_8g Integer Recommended During the past month, how often have you thought about thinking that perhaps I wasn't strict enough? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_9g Integer Recommended During the past month, how often have you thought about thinking about where I went wrong? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_10db Integer Recommended During the past month, how often did your child have physically and/or verbally aggressive behaviors? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_11db Integer Recommended During the past month, how often did your child have controlling/manipulative behaviors? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_12db Integer Recommended During the past month, how often did your child have lying/stealing behaviors? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_13db Integer Recommended During the past month, how often did your child have an out of control temper? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_14n Integer Recommended During the past month, how often did you experience difficulties preparing meals (i.e., making separate meals for family members, not having correct ingredients?) 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_15n Integer Recommended During the past month, how often were there arguments with other family members about how to handle mealtimes? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_16n Integer Recommended During the past month, how often were there arguments or tension during mealtimes? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_17db Integer Recommended During the past month, how often did food disappear from the cupboards? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_18n Integer Recommended During the past month, how often did you spend long periods of time shopping for food? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_19db Integer Recommended During the past month, how often did you have difficulties with blocked drains, plumbing? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_20db Integer Recommended During the past month, how often were there bad smells and hygiene in the bathroom? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_21n Integer Recommended During the past month, how often did you have to turn up the heat due to her/him feeling cold? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_22n Integer Recommended During the past month, how often did you check on her/him to ensure that she/he was "okay"? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_23n Integer Recommended During the past month, how often did you notice or think about how the illness was affecting her/him physically (i.e., see her/him fall, faint, struggle up the stairs?) 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_24n Integer Recommended During the past month, how often did you notice or think about how the illness was affecting him/her mentally? 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Nearly Always
edsis_n_score Integer Recommended Eating Disorder Symptom Impact Scale: Nutrition Average the scores of items 14, 15, 16, 18, 21, 22, 23, and 24. Lower scores mean a lower tolerability.
edsis_db_score Integer Recommended Eating Disorder Symptom Impact Scale: Dysregulated Behavior Average the scores of items 10, 11, 12, 13, 17, 19, and 20. Lower scores mean a higher absorption.
edsis_g_score Integer Recommended Eating Disorder Symptom Impact Scale: Guilt Average the scores of items 5, 6, 7, 8, and 9. Higher scores mean a lower acceptance of distress and perceived ability to cope.
edsis_s_score Integer Recommended Eating Disorder Symptom Impact Scale: Social Impact Average the scores of items 1, 2, 3, and 4. Lower scores mean a lower tolerability.
edsis_total_score Integer Recommended Eating Disorder Symptom Impact Scale: Total Score Average the scores of the edsis_n_score, edsis_db_score, edsis_g_score, and edsis_s_score. Higher scores mean a higher distress tolerance.
time__point01 Integer Recommended Timepoint 1::6 1 = Screening; 2 = Baseline; 3 = Mid-way; 4 = One Month; 5 = Three Months; 6 = Final
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.