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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR 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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Selected Filters
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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Description
Value Range
Notes
Data Structures with shared data
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Hopelessness Scale for Children

hsc

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 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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
hsc_totalIntegerRequiredTotal hopelessness score999=NA/missing
life_growupIntegerRecommendedI want to grow up because I think things will be better. PX640601_Life_Grow_up_Better0;10=True; 1=Falset_hsc_1
giveupIntegerRecommendedI might as well give up because there's nothing I can do about making things better for myself.0;1;-71=True; 0=False; -7=Refusedt_hsc_2
t_hsc_3IntegerRecommendedWhen things are going badly, I know they won't be as bad all of the time.0;11=False; 0= True
life_grownupIntegerRecommendedI can imagine what my life will be like when I'm grown up. PX640601_Imagine_Life_Grown_up0;10=True; 1=Falset_hsc_4
accompIntegerRecommendedI have enough time to accomplish the things I most want to do0;1;-70=True; 1=False; -7=Refusedt_hsc_5
life_somedayIntegerRecommendedSomeday, I will be good at doing the things that I really care about. PX640601_Life_Someday_Good0;10=True; 1=Falset_hsc_6
life_goodthingsIntegerRecommendedI will get more of the good things in life than most other kids. PX640601_Life_More_good_things0;10=True; 1=Falset_hsc_7
life_goodluckIntegerRecommendedI don't have good luck and there's no reason to think I will when I grow up. PX640601_Life_No_Good_Luck0;10=True; 1=Falset_hsc_8
life_badthingsIntegerRecommendedAll I can see ahead of me are bad things, not good things. PX640601_Life_See_BadThings_Ahead_NoGood0;10=True; 1=Falset_hsc_9
noexpectIntegerRecommendedI don't expect to get what I really want.0;1;-71=True; 0=False; -7=Refusedt_hsc_10
t_hsc_11IntegerRecommendedWhen I grow up, I think I will be happier than I am now.0;11=False; 0= True
thingsIntegerRecommendedThings just won't work out the way I want them to0;1;-71=True; 0=False; -7=Refusedt_hsc_12
nevergetIntegerRecommendedI never get what I want so it's foolish to want anything.0;1;-71=True; 0=False; -7=Refusedt_hsc_13
life_funIntegerRecommendedI don't think I will have any real fun when I grow up. PX640601_Life_No_Real_Fun_When_GrowUp0;10=True; 1=Falset_hsc_14
life_unclearIntegerRecommendedTomorrow seems unclear and confusing to me. PX640601_Life_Tomorrow_Unclear_Confusing0;10=True; 1=Falset_hsc_15
moregoodIntegerRecommendedI can look forward to more good times than bad times0;1;-70=True; 1=False; -7=Refusedt_hsc_16
nousetryIntegerRecommendedThere's no use in really trying to get something I want because I probably won't get it.0;1;-71=True; 0=False; -7=Refusedt_hsc_17
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: hsc01 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.