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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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Financial Needs Questionnaire

fnqc

01

Download Definition as
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 fieldfnq_c_date
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
fnq_c_1IntegerRecommended1. Where do you live?1::4; -99991= A - At home with parents.; 2= B - In a university residence hall.; 3= C - In a fraternity/sorority house.; 4= D - In a house/apartment; -9999= Do not wish to answer
fnq_c_2IntegerRecommended2. How are your living expenses (rent, food, entertainment, etc.) paid?1::4; -99991= A - Mostly by parents=; 2= B - Mostly by scholarship= parents pay the rest.; 3= C - Mostly by yourself; 4= D - Mostly by scholarship= you pay the rest; -9999= Do not wish to answer
fnq_mh_1IntegerRecommended1. Where do you get your money?1::51= A - Allowance from parents/caregivers; 2= B - Gifts; 3= C -You have a regular job; 4= D - You work odd jobs; 5= E - Other
fnq_mh_1_otherString50Recommended1. Where do you get your money? Specify "Other
fnq_mh_2IntegerRecommended2. How are your school expenses (notebooks, supplies, etc.) and clothing paid?1::31= A - Mostly by parents/caregivers; 2= B - By yourself and by your parents/caregivers; 3= C - Mostly by yourselffnq_c_3
fnq_mh_3IntegerRecommended3. Who pays for other things you use (cell phone, games, movies, sports, music)?1::31= A - Mostly by parents/caregivers; 2= B - By yourself and by your parents/caregivers; 3= C - Mostly by yourself
fnq_mh_4IntegerRecommended4. During an average week, how often do you eat at a restaurant?1::41= A - Never eat out; 2= B - Less than 3 times; 3= C - 3-7 times; 4= D - Almost all mealsfnq_c_4
fnq_mh_5IntegerRecommended5. When you eat out, how much do you usually spend?1::41= A - Your parents/caregivers usually pay when you eat out; 2= B - Less than $6.50; 3= C - $6.50 to $13; 4= D - More than $13fnq_c_5
fnq_mh_6IntegerRecommended6. How often do you have pocket money to buy simple things?1::41= A - Never; 2= B - Sometimes= but there are days when you are broke.; 3= C - Usually; 4= D - Alwaysfnq_c_6
fnq_mh_7IntegerRecommended7. On weekends, if you want to, how often do you have money to go out?1::41= A - Never; 2= B - Sometimes= but sometimes you have to stay home.; 3= C - Usually; 4= D - Alwaysfnq_c_7
fnq_mh_8IntegerRecommended8. Are you employed?1::41= A - Yes; 2= B - Yes= by family or neighbors; 3= C - No. You don't have a job but you are looking for one; 4= D - No. You don't have a job and you are not looking for one.fnq_c_8
fnq_mh_9_parentsFloatRecommendedHow much money do you get from Parents/Allowance per month?dollarsfnq_c_9_parents
fnq_mh_9_jobsFloatRecommendedHow much money do you get from Jobs per month?dollarsfnq_c_9_jobs
fnq_mh_9_oddjobsFloatRecommendedHow much money do you get from Odd Jobs per month?dollarsfnq_c_9_oddjobs
fnq_mh_9_giftsFloatRecommendedHow much money do you get from Gifts per year?dollarsfnq_c_9_gifts
fnq_mh_9_scholarshipFloatRecommendedHow much money do you get from Scholarships per month?dollarsfnq_c_9_scholarship
fnq_mh_9_otherFloatRecommendedHow much money do you get from other sources per month?dollarsfnq_c_9_other
fnq_mh_9_other_specifiedString50RecommendedHow much money do you get from other sources per month? Specify "Otherfnq_c_9_other_specified
fnq_mh_10IntegerRecommended10. How would you describe your level of financial need? How much do you need money?0::1010=being "Extreme financial need"; 0=being "None",fnq_c_16
version_formString100RecommendedForm used/assessment name
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: fnqc01 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.