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Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions

Glossary

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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

combo

01

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Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired field
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
cig_smoking1_100IntegerRecommendedHave you smoked at least 100 cigarettes in your entire life? PX030601_Cigarette_Smoking_1001;2;971=Yes; 2=No; 97=Don't Know/Refusedcombos1
combos2IntegerRecommendedHave you smoked at least part of a cigarette in the last 7 days?1;00 = No; 1 = Yes
cigarette_30day_smokingIntegerRecommendedNow 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_Smoking1;2;991=Yes; 2=No; 99=DK/refusedcombos3
combos4IntegerRecommendedDuring a typical 7-day period; how many cigarettes do you smoke per day? (cigarettes per day)1::700
combod1IntegerRecommendedDuring 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
combod1_1IntegerRecommendedPast 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)
combod2IntegerRecommendedOn the days when you drank; about how many drinks did you drink on average? (drinks)1::100
combod3IntegerRecommendedConsidering 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
comboe1IntegerRecommendedHow many times a week do you eat fast food or snacks?1;2;31=Less than 1; 2=1-3 times; 3=4 or more
comboe2IntegerRecommendedHow many servings of fruit and/or vegetables do you eat each day?1;2;31=5 or more; 2=3-4 servings; 3=2 or less
comboe3IntegerRecommendedHow many regular soft drinks (sodas or glasses of sweet tea) do you drink each day (1 glass = 8oz)1;2;31=Less than 1; 2=1-2 glasses; 3 or more
comboe4IntegerRecommendedHow many times a week do you eat chicken; fish; or beans (like pinto beans or black beans)?1;2;31=3 or more; 2=1-2 times; 3=Less than 1
comboe5IntegerRecommendedHow many times a week do you eat regular snack chips or crackers (not low-fat)?1;2;31=1 or less; 2=2-3 times; 3=4 or more
comboe6IntegerRecommendedHow many times a week do you eat desserts or other sweets?1;2;31=1 or less; 2=2-3 times; 3=4 or more
comboe7IntegerRecommendedHow much margarine; butter; or meat fat do you use to season vegetables; potatoes; bread; or corn?1;2;31=Very little; 2=Some; 3=A lot
ipaq2IntegerRecommendedDuring 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
ipaq3aIntegerRecommendedHow much time did you usually spend doing vigorous physical activities on one of those days? (hours per day)combop2
ipaq3bIntegerRecommendedHow much time did you usually spend doing vigorous physical activities on one of those days? (minutes per day)999 = Unknowncombop2_1
ipaq4IntegerRecommendedDuring 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
ipaq5aIntegerRecommendedHow much time did you usually spend doing moderate physical activities on one of those days? (hours per day)combop4
ipaq5bIntegerRecommendedHow much time did you usually spend doing moderate physical activities on one of those days? (minutes per day)999 = Unknowncombop4_1
ipaq12IntegerRecommendedDuring 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
ipaq7aIntegerRecommendedHow much time did you usually spend walking on one of those days? (hours per day)combop6
ipaq7bIntegerRecommendedHow much time did you usually spend walking on one of those days? (minutes per day)999 = Unknowncombop6_1
ipaq26aIntegerRecommendedDuring the last 7 days, how much time did you spend sitting on a week day? (hours per day)combop7
ipaq26nIntegerRecommendedDuring the last 7 days, how much time did you spend sitting on a week day? (minutes per day)999 = Unknowncombop7_1
combo_overallIntegerRecommendedOverall risk score
combop2_2IntegerRecommendedDon't know/not sure (How much time did you usually spend doing vigorous physical activities on one of those days?)11 = Unknown amount of time spent on vigorous physical activities
combop4_2IntegerRecommendedDon't know/not sure(How much time did you usually spend doing moderate physical activities on one of those days?)11 = Unknown amount of time spent on moderate physical activities
combop6_2IntegerRecommendedDon't know/not sure(How much time did you usually spend walking on one of those days?)11 = Unknown amount of time spent walking
combop7_2IntegerRecommendedDon't know/not sure(During the past 7 days, how much time did you spend sitting on a week day.)11 = Unknown amount of time spent sitting on a weekday
combop1_1IntegerRecommendedNo 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?)11 = Engaged in no vigorous physical activites
combop3_1IntegerRecommendedNo 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.)11 = Engaged in no moderate physical activites
combop5_1IntegerRecommendedNo walking (During the past 7 days, on how many days did you walk for at least 10 minutes at a time.)11 = 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.

Distribution for DataStructure: combo01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.