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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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COMBO (Common Measure, Better Outcomes) Health Behavior Measures

0 Shared Subjects

N/A
Clinical Assessments
Questionnaire
06/16/2017
combo01
07/10/2017
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*
src_subject_id String 20 Required Subject ID how it's defined in lab/project
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
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 cig_smoking1_100 Integer Recommended Have you smoked at least 100 cigarettes in your entire life? PX030601_Cigarette_Smoking_100 1;2;97 1=Yes; 2=No; 97=Don't Know/Refused combos1
Query combos2 Integer Recommended Have you smoked at least part of a cigarette in the last 7 days? 1;0 0 = No; 1 = Yes
Query cigarette_30day_smoking Integer Recommended Now think about the past 30 days, including today. During the past 30 days, have you smoked part or all of a cigarette? PX030801_30Day_Cigarette_Smoking 1;2;99 1=Yes; 2=No; 99=DK/refused combos3
Query combos4 Integer Recommended During a typical 7-day period; how many cigarettes do you smoke per day? (cigarettes per day) 1::700
Query combod1 Integer Recommended During the past 30 days; how many days per week or per month did you have at least one drink of any alcoholic beverage? 1::30
Query combod1_1 Integer Recommended Past 30 days, frequency of having at least one drink measured per week or per month? 1::2 (1=per week; 2=in the last 30 days)
Query combod2 Integer Recommended On the days when you drank; about how many drinks did you drink on average? (drinks) 1::100
Query combod3 Integer Recommended Considering all types of alcoholic beverages; how many times during the past 30 days did you have five or more drinks on an occasion? (times) 1::300
Query comboe1 Integer Recommended How many times a week do you eat fast food or snacks? 1;2;3 1=Less than 1; 2=1-3 times; 3=4 or more
Query comboe2 Integer Recommended How many servings of fruit and/or vegetables do you eat each day? 1;2;3 1=5 or more; 2=3-4 servings; 3=2 or less
Query comboe3 Integer Recommended How many regular soft drinks (sodas or glasses of sweet tea) do you drink each day (1 glass = 8oz) 1;2;3 1=Less than 1; 2=1-2 glasses; 3 or more
Query comboe4 Integer Recommended How many times a week do you eat chicken; fish; or beans (like pinto beans or black beans)? 1;2;3 1=3 or more; 2=1-2 times; 3=Less than 1
Query comboe5 Integer Recommended How many times a week do you eat regular snack chips or crackers (not low-fat)? 1;2;3 1=1 or less; 2=2-3 times; 3=4 or more
Query comboe6 Integer Recommended How many times a week do you eat desserts or other sweets? 1;2;3 1=1 or less; 2=2-3 times; 3=4 or more
Query comboe7 Integer Recommended How much margarine; butter; or meat fat do you use to season vegetables; potatoes; bread; or corn? 1;2;3 1=Very little; 2=Some; 3=A lot
Query ipaq2 Integer Recommended During the last 7 days, on how many days did you do vigorous physical activities like heavy lifting, digging, aerobics, or fast cycling? (# days per week) combop1
Query ipaq3a Integer Recommended How much time did you usually spend doing vigorous physical activities on one of those days? (hours per day) combop2
Query ipaq3b Integer Recommended How much time did you usually spend doing vigorous physical activities on one of those days? (minutes per day) 999 = Unknown combop2_1
Query ipaq4 Integer Recommended During the last 7 days, on how many days did you do moderate physical activities like carrying light loads, bicycling at a regular pace, or doubles tennis? (# days per week) combop3
Query ipaq5a Integer Recommended How much time did you usually spend doing moderate physical activities on one of those days? (hours per day) combop4
Query ipaq5b Integer Recommended How much time did you usually spend doing moderate physical activities on one of those days? (minutes per day) 999 = Unknown combop4_1
Query ipaq12 Integer Recommended During the last 7 days, on how many days did you walk for at least 10 minutes at a time to go from place to place (days per week) combop5
Query ipaq7a Integer Recommended How much time did you usually spend walking on one of those days? (hours per day) combop6
Query ipaq7b Integer Recommended How much time did you usually spend walking on one of those days? (minutes per day) 999 = Unknown combop6_1
Query ipaq26a Integer Recommended During the last 7 days, how much time did you spend sitting on a week day? (hours per day) combop7
Query ipaq26n Integer Recommended During the last 7 days, how much time did you spend sitting on a week day? (minutes per day) 999 = Unknown combop7_1
Query combo_overall Integer Recommended Overall risk score
Query combop2_2 Integer Recommended Don't know/not sure (How much time did you usually spend doing vigorous physical activities on one of those days?) 1 1 = Unknown amount of time spent on vigorous physical activities
Query combop4_2 Integer Recommended Don't know/not sure(How much time did you usually spend doing moderate physical activities on one of those days?) 1 1 = Unknown amount of time spent on moderate physical activities
Query combop6_2 Integer Recommended Don't know/not sure(How much time did you usually spend walking on one of those days?) 1 1 = Unknown amount of time spent walking
Query combop7_2 Integer Recommended Don't know/not sure(During the past 7 days, how much time did you spend sitting on a week day.) 1 1 = Unknown amount of time spent sitting on a weekday
Query combop1_1 Integer Recommended No vigorous physical activities (During the past 7 days, on how many days did you do vigorous physical activities like heavy lifting, digging, aerobics, or fast bicycling?) 1 1 = Engaged in no vigorous physical activites
Query combop3_1 Integer Recommended No moderate physical activities (During the past 7 days, on how many days did you do moderate physical activities like carrying light loads, bicycling at a regular pace, or doubles tennis? Do not include walking.) 1 1 = Engaged in no moderate physical activites
Query combop5_1 Integer Recommended No walking (During the past 7 days, on how many days did you walk for at least 10 minutes at a time.) 1 1 = Engaged in no walking
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.