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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.


  • 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. 


Reset Password

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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Morningness/Eveningness Questionnaire

324 Shared Subjects

Smith CS, Reilly C, Midkiff K. Evaluation of three circadian rhythm questionnaires with suggestions for an improved measure of morningness. J Appl Psychol. Oct 1989;74(5):728-738.
Clinical Assessments
View Change History
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*
src_subject_id String 20 Required Subject ID how it's defined in lab/project id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field adate
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 visit String 60 Recommended Visit name tpoint
Query comp1 Integer Recommended Considering only your own "feeling best" rhythm, at what time would you get up if you were entirely free to plan your day? 1::5 1 = 5:00- 6:30 a.m.; 2 = 6:30- 7:45 a.m.; 3 = 7:45- 9:45 a.m.; 4 = 9:45- 11:00 a.m.; 5 = 11:00 a.m.- 12:00 (noon) q2
Query comp2 Integer Recommended Considering only your own "feeling best" rhythm, at what time would you go to bed if you were entirely free to plan your evening? 1::5 1 = 8:00- 9:00 p.m.; 2 = 9:00- 10:15 p.m.; 3 = 10:15- 12:30 a.m.; 4 = 12:20- 1:45 a.m.; 5 = 1:45- 3:00 a.m. q3
Query comp3 Integer Recommended Assuming normal circumstances, how easy do you find getting up in the morning? 1::4 1 = Very easy; 2 = Fairly easy; 3 = Slightly easy; 4 = Not at all easy q4
Query comp4 Integer Recommended How alert do you feel during the first half hour after having awakened in the morning? 1::4 1 = Very alert; 2 = Fairly alert; 3 = Slightly alert; 4 = Not at all alert q5
Query comp5 Integer Recommended During the first half hour after having awakened in the morning, how tired do you feel? 1::4 1 = Very refreshed; 2 = Fairly refreshed; 3 = Fairly tired; 4 = Very tried q6
Query comp6 Integer Recommended You have decided to engage in some physical exercise. A friend suggests that you do this one hour twice a week and the best time for him is 7:00- 8:00 a.m. Bearing in mind nothing but your own "feeling best" rhythm, how do you think you would perform? 1::4 1 = Would be in good form; 2 = Would be in a reasonable form; 3 = Would find it difficult; 4 = Would find it very difficult q7
Query comp7 Integer Recommended At what time in the evening do you feel tired and, as a result, in need of sleep? 1::5 1 = 8:00- 9:00 p.m.; 2 = 9:00- 10:15 p.m.; 3 = 10:15- 12:30 a.m.; 4 = 12:20- 1:45 a.m.; 5 = 1:45- 3:00 a.m. q8
Query comp8 Integer Recommended You wish to be at your peak performance for a test which you know is going to be mentally exhausting and lasting two hours. You are entirely free to plan your day, and considering only your own "feeling best" rhythm, which ONE of the four testing times would you choose? 1::4 1 = 8:00- 10:00 a.m.; 2 = 11:00 a.m.- 1:00 p.m.; 3 = 3:00- 5:00 p.m.; 4 = 7:00- 9:00 p.m. q9
Query comp9 Integer Recommended One hears about "morning" and "evening" types of people. Which ONE of these types do you consider yourself to be? 1::4 1 = Definitely a morning type; 2 = More a morning type than an evening type; 3 = More an evening type than a moring type; 4 = Definitely an evening type q10
Query comp10 Integer Recommended When would you prefer to rise (provided you have a full day's work-- 8 hours) if you were totally free to arrange your time? 1::4 1 = Before 6:30 a.m.; 2 = 6:30- 7:30 a.m.; 3 = 7:30- 8:30 a.m.; 4 = 8:30 a.m. or later q11
Query comp11 Integer Recommended If you always had to rise at 6:00 a.m., what do you think it would be like? 1::4 1 = Easy and not unpleasant; 2 = A little unpleasant but no great problem; 3 = Rather difficult and unpleasant; 4 = Very difficult an unpleasant q12
Query comp12 Integer Recommended How long a time does it usually take before you "recover your senses" in the morning after rising from a night's sleep? 1::4 1 = 0-10 minutes; 2 = 11-20 minutes; 3 = 21-40 minutes; 4 = More than 40 minutes q13
Query comp13 Integer Recommended Please indicate to what extent you are a morning or evening active individual. 1::4 1 = Pronounced morning active (morning alert and evening tired); 2 = To some extent, morning active; 3 = To some extent, evening active; 4 = Pronounced evening active (morning tired and evening alert) q14
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
meqscore Integer Recommended Morningness/Eveningness score 1::3 1=Evening Type 22 and less; 2=Intermediate Type 23-43; 3=Morning Type 44 and above
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.