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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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Fear Survey Schedule

fssr

01

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Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RecommendedSubject ID how it's defined in lab/project
interview_dateDateRecommendedDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldvisit_date
interview_ageIntegerRecommendedAge 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.
sexString20RecommendedSex of the subjectM;FM = Male; F = Femalegender
visitString50RecommendedVisit namevisit_number
fsscr_1IntegerRecommended1. Giving an oral report.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_2IntegerRecommended2. Riding in the car or bus.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_3IntegerRecommended3. Getting punished by mother.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_4IntegerRecommended4. Lizards.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_5IntegerRecommended5. Looking foolish.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_6IntegerRecommended6. Ghosts or spooky things.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_7IntegerRecommended7. Sharp objects.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_8IntegerRecommended8. Having to go to the hospital.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_9IntegerRecommended9. Death or dead people.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_10IntegerRecommended10. Getting lost in a strange place.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_11IntegerRecommended11. Snakes.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_12IntegerRecommended12. Talking on the telephone.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_13IntegerRecommended13. Roller coaster or carnival rides.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_14IntegerRecommended14. Getting sick at school.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_15IntegerRecommended15. Being sent to the principal.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_16IntegerRecommended16. Riding on the train.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_17IntegerRecommended17. Being left at home with a sitter.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_18IntegerRecommended18. Bears or wolves.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_19IntegerRecommended19. Meeting someone for the first time.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_20IntegerRecommended20. Bombing attacks---being invaded.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_21IntegerRecommended21. Getting a shot from the nurse or doctor.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_22IntegerRecommended22. Going to the dentist.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_23IntegerRecommended23. High places like mountains.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_24IntegerRecommended24. Being teased.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_25IntegerRecommended25. Spiders.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_26IntegerRecommended26. A burglar breaking into our house.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_27IntegerRecommended27. Flying in an airplane.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_28IntegerRecommended28. Being called on by the teacher.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_29IntegerRecommended29. Getting poor grades.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_30IntegerRecommended30. Bats or birds.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_31IntegerRecommended31. My parents criticizing me.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_32IntegerRecommended32. Guns.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_33IntegerRecommended33. Being in a fight.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_34IntegerRecommended34. FIre---getting burned.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_35IntegerRecommended35. Getting a cut or injury.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_36IntegerRecommended36. Being in a big crowd.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_37IntegerRecommended37. Thunderstorms.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_38IntegerRecommended38. Having to eat some food I don't like.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_39IntegerRecommended39. Cats.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_40IntegerRecommended40. Failing a test.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_41IntegerRecommended41. Being hit by a car or truck.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_42IntegerRecommended42. Having to go to school.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_43IntegerRecommended43. Playing rough games during recess.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_44IntegerRecommended44. Having my parents argue.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_45IntegerRecommended45. Dark rooms or closets.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_46IntegerRecommended46. Having to put on a recital or perfromance.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_47IntegerRecommended47. Ants or beetles.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_48IntegerRecommended48. Being criticized by others.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_49IntegerRecommended49. Strange looking people.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_50IntegerRecommended50. The sight of blood.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_51IntegerRecommended51. Going to the doctor.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_52IntegerRecommended52. Strange or mean looking dogs.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_53IntegerRecommended53. Cemeteries (graveyards).0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_54IntegerRecommended54. Getting a report card.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_55IntegerRecommended55. Getting a haircut.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_56IntegerRecommended56. Deep water or the ocean.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_57IntegerRecommended57. Nightmares.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_58IntegerRecommended58. Falling from high places.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_59IntegerRecommended59. Getting a shock from electricity.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_60IntegerRecommended60. Going to bed in the dark.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_61IntegerRecommended61. Getting car sick.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_62IntegerRecommended62. Being alone.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_63IntegerRecommended63. Having to wear clothes different from others.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_64IntegerRecommended64. Getting punished by my father.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_65IntegerRecommended65. Having to stay after school.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_66IntegerRecommended66. Making mistakes.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_67IntegerRecommended67. Mystery movies.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_68IntegerRecommended68. Loud sirens.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_69IntegerRecommended69. Doing something new.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_70IntegerRecommended70. Germs or getting a serious illness.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_71IntegerRecommended71. Closed spaces.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_72IntegerRecommended72. Earthquakes.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_73IntegerRecommended73. Terrorists.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_74IntegerRecommended74. Elevators.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_75IntegerRecommended75. Dark places.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_76IntegerRecommended76. Not being able to breathe.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_77IntegerRecommended77. Getting a bee sting.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_78IntegerRecommended78. Worms or snails.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_79IntegerRecommended79. Rats or mice.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_80IntegerRecommended80. Taking a test.0::2; 99990=None; 1=Some; 2=A lot; 9999=Missing
fsscr_facr_scIntegerRecommendedFSSCR-Failure and Criticism score0::46
fsscr_unk_scIntegerRecommendedFSSCR-The Unknown score0::36
fsscr_misa_scIntegerRecommendedFSSCR-Minor Injury and Small Animals score0::34
fsscr_dd_scIntegerRecommendedFSSCR-Danger and Death score0::24
fsscr_mefe_scIntegerRecommendedFSSCR-Medical Fears score0::8
fsscr_miit_scIntegerRecommendedFSSCR-Miscellaneous Items score0::12
fsscr_totIntegerRecommendedFSSCR Total Fear Score0::160
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: fssr01 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.