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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

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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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Everyday Discrimination Questionnaire

ediscs

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/projectid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fielddate
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.age
sexString20RequiredSex of the subject
M;F
M = Male; F = Femalegender, sex
ut_1IntegerRecommendedYou are treated with less courtesy than other people are.1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_1
ut_1_reasonString100Recommended(Everyday Discrimination Scale Q1) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_1_k_textString200Recommended(Everyday Discrimination Scale Q1) What do you think is the main reason for these experiences? Other (Specify)
ut_2IntegerRecommendedYou are treated with less respect than other people are.1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_2
ut_2_reasonString100Recommended(Everyday Discrimination Scale Q2) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_2_k_textString200Recommended(Everyday Discrimination Scale Q2) What do you think is the main reason for these experiences? Other (Specify)
ut_3IntegerRecommendedYou receive poorer service than other people at restaurants or stores1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_3
ut_3_reasonString100Recommended(Everyday Discrimination Scale Q3) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_3_k_textString200Recommended(Everyday Discrimination Scale Q3) What do you think is the main reason for these experiences? Other (Specify)
ut_4IntegerRecommendedPeople act as if they think you are not smart1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_4
ut_4_reasonString100Recommended(Everyday Discrimination Scale Q4) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_4_k_textString200Recommended(Everyday Discrimination Scale Q4) What do you think is the main reason for these experiences? Other (Specify)
ut_5IntegerRecommendedPeople act as if they are afraid of you.1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_5
ut_5_reasonString100Recommended(Everyday Discrimination Scale Q5) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_5_k_textString200Recommended(Everyday Discrimination Scale Q5) What do you think is the main reason for these experiences? Other (Specify)
ut_6IntegerRecommendedPeople act as if they think you are dishonest.1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_6
ut_6_reasonString100Recommended(Everyday Discrimination Scale Q6) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_6_k_textString200Recommended(Everyday Discrimination Scale Q6) What do you think is the main reason for these experiences? Other (Specify)
ut_7IntegerRecommendedPeople act as if they're are better than you are.1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_7
ut_7_reasonString100Recommended(Everyday Discrimination Scale Q7) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_7_k_textString200Recommended(Everyday Discrimination Scale Q7) What do you think is the main reason for these experiences? Other (Specify)
ut_8IntegerRecommendedYou are called names or insulted.1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_8
ut_8_reasonString100Recommended(Everyday Discrimination Scale Q8) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_8_k_textString200Recommended(Everyday Discrimination Scale Q8) What do you think is the main reason for these experiences? Other (Specify)
ut_9IntegerRecommendedYou are threatened or harassed.1::61=Almost Everyday, 2=At least once a week, 3=A few times a month, 4=A few times a year, 5=Less than once a year, 6=Neveredso_9
ut_9_reasonString100Recommended(Everyday Discrimination Scale Q9) What do you think is the main reason for these experiences?RECORD ALL NUMBERS THAT APPLY, SEPARATE WITH SEMICOLONS; 1=ancestry of National Origins;2=Gender;3=race;4=age;5=religion;6=height;7=weight;8=some other aspect of your physical appearance;9=sexual orientation;10=education or income level;11=other;12=physical disability;13=shade of skin color;14=tribe
ut_9_k_textString200Recommended(Everyday Discrimination Scale Q9) What do you think is the main reason for these experiences? Other (Specify)
totedsIntegerRecommendedTotal Everyday Discrimination Scale score0::54(sum of UT_1, UT_2, UT_3, UT_4, UT_5, UT_6, UT_7, UT_8, UT_9)edso_sum
edso1IntegerRecommendedOverall, how much has discrimination based on your sexual orientation interfered with you having a full and productive life1::41= A lot; 2= Some; 3= A little; 4= Not at alledso_10
edso2IntegerRecommendedOverall, how much harder has your life been because of discrimination based on your sexual orientation1::41= A lot; 2= Some; 3= A little; 4= Not at alledso_11
version_formString100RecommendedForm used/assessment name
timepoint_labelString5RecommendedTimepoint/visit labelassessment.c
condition_cIntegerRecommendedPatient Condition0::20 = Control; 1 = Self-Affirmation; 2 = Expressive Writingcondition.c
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: ediscs01 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.