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Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR"  when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects. 

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access.  Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA).  Without access, you will not be able to obtain individual-level data. 

    Once you have selected data of interest you can:
  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release. 
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected.  Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the fliter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

    Please Note:
  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time. 
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures. 
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.
     

Frequently Asked Questions

  • The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned.  Adding multiple filters to the cart, regardless of type, will AND the result of each filter.  If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in  BOTH 1 AND 2.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

  • Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.

  • After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.

Glossary

  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace. 

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Everyday Discrimination Questionnaire

251 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 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 subject at birth
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported 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 121 Recommended Form used/assessment name
timepoint_label String 15 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.