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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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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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Dutch Eating Behavior Questionnaire

322 Shared Subjects

N/A
Clinical Assessments
Food
12/08/2017
debq01
11/25/2019
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 clinical_barcode
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field bl_visit_date, date_time_debq
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. ch_age
sex String 20 Required Sex of the subject
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported ch_sex, gender
Query debq_eatlessifgained Integer Recommended If you have put on weight, do you eat less than you usually do? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres1
Query debq_eatlessatmeals Integer Recommended Do you try to eat less at mealtimes than you would like to eat? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres2
Query debq_refusefooddrink Integer Recommended How often do you refuse food or drink because you are concerned about your weight? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres3
Query debq_watcheating Integer Recommended Do you watch exactly what you eat? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres4
Query debq_slimmingfoods Integer Recommended Do you deliberately eat foods that are slimming (i.e. lowfat or diet foods)? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres5
Query debq_lessafterovereating Integer Recommended When you have eaten too much, do you eat less than usual the next day? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres6
Query debq_eatless Integer Recommended Do you deliberately eat less in order not to become heavier? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres7
Query debq_noteatbtwnmeals Integer Recommended How often do you try not to eat between meals because you are watching your weight? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres8
Query debq_noteatevenings Integer Recommended How often in the evenings do you try not to eat because you are watching your weight? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres9
Query debq_weightaffectseating Integer Recommended Do you take into account your weight in deciding what to eat? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres10
Query debq_irritated Integer Recommended Do you have a desire to eat when you are irritated? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres11, q1d
Query debq_nothingtodo Integer Recommended Do you have a desire to eat when you have nothing to do? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres12, q3d
Query debq_depressed Integer Recommended Do you have a desire to eat when you are depressed or discouraged? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres13, q5d
Query debq_lonely Integer Recommended Do you have a desire to eat when you are feeling lonely? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres14, q8d
Query debq_letdown Integer Recommended Do you have a desire to eat when somebody lets you down? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres15, q10d
Query debq_cross Integer Recommended Do you have a desire to eat when you are cross? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres16, q13d
Query debq_unpleasant Integer Recommended Do you have a desire to eat when you are approaching something unpleasant to happen? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres17, q16d
Query debq_anxious Integer Recommended Do you have a desire to eat when you are anxious, worried, or tense? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres18, q20d
Query debq_thingsgoingwrong Integer Recommended Do you have a desire to eat when things are going against you or when things have gone wrong? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres19, q23d
Query debq_frightened Integer Recommended Do you have a desire to eat when you are frightened? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres20, q30d
Query debq_disappointed Integer Recommended Do you have a desire to eat when you are disappointed? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres21, q32d
Query debq_upset Integer Recommended Do you have a desire to eat when you are emotionally upset? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres22, q25d
Query debq_restless Integer Recommended Do you have a desire to eat when you are restless or bored? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres23, q28d
Query debq_tasteeatmore Integer Recommended If food tastes good to you, do you eat more than normal? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres24
Query debq_looksmelleatmore Integer Recommended If food smells and looks good, do you eat more than normal? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres25
Query debq_looksmelleatnow Integer Recommended If you see or smell something delicious to eat, do you eat it straight away? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres26
Query debq_eatingimmediately Integer Recommended If you have something delicious to eat, do you eat it straight away? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres27
Query debq_bakery Integer Recommended If you walk past the baker do you have the desire to buy something delicious? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres28
Query debq_snackbar Integer Recommended If you walk past a snack bar or a cafe, do you have the desire to buy something delicious? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres29
Query debq_otherseating Integer Recommended If you see others eating, do you also have the desire to eat? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres30
Query debq_resistfoods Integer Recommended Can you resist eating delicious foods? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres31
Query debq_eatmorewithothers Integer Recommended Do you eat more than usual when you see others eating? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres32
Query debq_mealprep Integer Recommended When preparing a meal are you inclined to eat something? 1::5;999 1 = Never;2 = Seldom; 3= Sometimes; 4 =Often; 5 =Always; 999 = Missing dres33
Query restrained_eating Integer Recommended Restrained Eating Score 1::5 Mean score of restrained eating (q1:q10)
Query emotional_eating Integer Recommended Emotional Eating Score 1::5 Mean score of emoitonal eating (q11:q23) debqe
Query external_eating Integer Recommended External Eating Score 1::5 Mean score of external eating (q24:q33)
who_raised_explain String 50 Recommended If other primary caregiver who raised you, explain
Query timept Integer Recommended Time Point 888 = not applicable; 999 = missing
debqued Integer Recommended Emotion Diffuse Final Score
debqec Integer Recommended Emotion Clearly Labeled Final 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.