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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

109 Shared Subjects

N/A
Clinical Assessments
Social Adjustment
01/11/2018
ediscs01
07/19/2019
View Change History
01
Definition
Submission Template
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field date
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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
sex String 20 Required Sex of the subject
M;F
M = Male; F = Female gender, sex
Query ut_1 Integer Recommended You are treated with less courtesy than other people are. 1::6 1=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=Never edso_1
ut_1_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q1) What do you think is the main reason for these experiences? Other (Specify)
Query ut_2 Integer Recommended You are treated with less respect than other people are. 1::6 1=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=Never edso_2
ut_2_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q2) What do you think is the main reason for these experiences? Other (Specify)
Query ut_3 Integer Recommended You receive poorer service than other people at restaurants or stores 1::6 1=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=Never edso_3
ut_3_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q3) What do you think is the main reason for these experiences? Other (Specify)
Query ut_4 Integer Recommended People act as if they think you are not smart 1::6 1=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=Never edso_4
ut_4_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q4) What do you think is the main reason for these experiences? Other (Specify)
Query ut_5 Integer Recommended People act as if they are afraid of you. 1::6 1=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=Never edso_5
ut_5_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q5) What do you think is the main reason for these experiences? Other (Specify)
Query ut_6 Integer Recommended People act as if they think you are dishonest. 1::6 1=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=Never edso_6
ut_6_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q6) What do you think is the main reason for these experiences? Other (Specify)
Query ut_7 Integer Recommended People act as if they're are better than you are. 1::6 1=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=Never edso_7
ut_7_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q7) What do you think is the main reason for these experiences? Other (Specify)
Query ut_8 Integer Recommended You are called names or insulted. 1::6 1=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=Never edso_8
ut_8_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q8) What do you think is the main reason for these experiences? Other (Specify)
Query ut_9 Integer Recommended You are threatened or harassed. 1::6 1=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=Never edso_9
ut_9_reason String 100 Recommended (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_text String 200 Recommended (Everyday Discrimination Scale Q9) What do you think is the main reason for these experiences? Other (Specify)
Query toteds Integer Recommended Total Everyday Discrimination Scale score 0::54 (sum of UT_1, UT_2, UT_3, UT_4, UT_5, UT_6, UT_7, UT_8, UT_9) edso_sum
Query edso1 Integer Recommended Overall, how much has discrimination based on your sexual orientation interfered with you having a full and productive life 1::4 1= A lot; 2= Some; 3= A little; 4= Not at all edso_10
Query edso2 Integer Recommended Overall, how much harder has your life been because of discrimination based on your sexual orientation 1::4 1= A lot; 2= Some; 3= A little; 4= Not at all edso_11
version_form String 100 Recommended Form used/assessment name
timepoint_label String 5 Recommended Timepoint/visit label assessment.c
condition_c Integer Recommended Patient Condition 0::2 0 = Control; 1 = Self-Affirmation; 2 = Expressive Writing condition.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.