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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). 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.

  • 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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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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Data Structures with shared data
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Daily Identity Diary Survey

92 Shared Subjects

N/A
Clinical Assessments
Sexuality
07/08/2019
dids01
07/09/2019
View Change History
01
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
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
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.
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
diary01 Integer Recommended In the last 24 hours: I was targeted or harassed because of my identity. 0;1 0= No; 1= Yes q1
diary02 Integer Recommended In the last 24 hours: I saw or heard negative, hurtful, or offensive messages or stereotypes about my identity or people with the same identity 0;1 0= No; 1= Yes q2
diary03 Integer Recommended In the last 24 hours: I was ignored, isolated, or made to feel invisible because of my identity. 0;1 0= No; 1= Yes q3
diary04 Integer Recommended In the last 24 hours: I was misunderstood because of my identity 0;1 0= No; 1= Yes q4
diary05 Integer Recommended In the last 24 hours: People stared at me because of my identity. 0;1 0= No; 1= Yes q5
diary06 Integer Recommended In the last 24 hours: I was not accepted because of my identity. 0;1 0= No; 1= Yes q6
diary07 Integer Recommended In the last 24 hours: Someone made me feel uncomfortable or unsafe because of my identity 0;1 0= No; 1= Yes q7
diary08 Integer Recommended In the last 24 hours: My identity interfered with my life 0;1 0= No; 1= Yes q8
diary09 Integer Recommended In the last 24 hours: Someone made me feel less of a human because my identity 0;1 0= No; 1= Yes q9
diary10 Integer Recommended Which identities were these experience(s) related to: Sexual Orientation 0;1 0= No; 1= Yes identities___1
diary11 Integer Recommended Which identities were these experience(s) related to: Gender identity or expresion 0;1 0= No; 1= Yes identities___2
diary12 Integer Recommended Which identities were these experience(s) related to: Race/ethnicity 0;1 0= No; 1= Yes identities___3
diary13 Integer Recommended Which identities were these experience(s) related to: Body Size 0;1 0= No; 1= Yes identities___4
diary14 Integer Recommended Which identities were these experience(s) related to: Mental or Physical disability 0;1 0= No; 1= Yes identities___5
diary15 Integer Recommended Which identities were these experience(s) related to: Age 0;1 0= No; 1= Yes identities___6
diary16 Integer Recommended Which identities were these experience(s) related to: Other Identities 0;1 0= No; 1= Yes identities___7
diary17 Integer Recommended Which identities were these experience(s) related to: None 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely identities___8
diary18 String 200 Recommended Describe other identities identity_specify
diary19 Integer Recommended What effect have these experiences had on your life 0::3 0= No Effect; 1= Somewhat; 2= Moderate; 3= Great impact
diary20 Integer Recommended In the last 24 hours: I felt angry, irritated, annoyed 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely q10
diary21 Integer Recommended In the last 24 hours: I felt ashamed, humiliated, disgraced 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely q11
diary22 Integer Recommended In the last 24 hours: I felt anxious, worried, afraid. 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely q12
diary23 Integer Recommended In the last 24 hours: I felt glad, happy, joyful. 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely q13
diary24 Integer Recommended In the last 24 hours: I felt hopeful, optimistic, encouraged. 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely q14
diary25 Integer Recommended In the last 24 hours: I felt love, closeness, trust 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely q15
diary26 Integer Recommended In the last 24 hours: I felt proud, confident, self-assured. 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely q16
diary27 Integer Recommended In the last 24 hours: I felt sad, downhearted, unhappy. 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely q17
diary28 Integer Recommended Did you have thoughts of killing yourself at any point in the last 24 hours 0;1 0= No; 1= Yes q18
diary29 Integer Recommended At the worst point in the last 24 hours, how intense were your thoughts of killing yourself 0::4 0= Very low intensity or not at all; 1= Low intensity; 2= Moderate intensity; 3= High intensity; 4= Very high intensity q19
diary30 Integer Recommended Did you have thoughts of nonsuicidal self-injury at any point in the last 24 hours 0;1 0= No; 1= Yes q20
diary31 Integer Recommended At the worst point in the last 24 hours, how intense were your thoughts of engaging in nonsuicidal self-injury 0::4 0= Very low intensity or not at all; 1= Low intensity; 2= Moderate intensity; 3= High intensity; 4= Very high intensity q21
diary32 Integer Recommended Did you make a suicide attempt at any point in the last 24 hours? 0;1 0= No; 1= Yes q22
diary33 Integer Recommended Did you engage in nonsuicidal self-injury at any point in the last 24 hours 0;1 0= No; 1= Yes q23
diary34 Integer Recommended Did engaging in nonsuicidal self-injury cause any medical or physical damage? 0;1 0= No; 1= Yes q23a
diary35 Integer Recommended In the last 24 hours: When I was upset, I became out of control. 0::4 0= Almost never in the past 24 hours; 1= Sometimes; 2= About half the time; 3= Most of the time; 4= Almost always in the past 24 hours q24
diary36 Integer Recommended In the last 24 hours: When I was upset, I became irritated with myself for feeling that way 0::4 0= Almost never in the past 24 hours; 1= Sometimes; 2= About half the time; 3= Most of the time; 4= Almost always in the past 24 hours q25
diary37 Integer Recommended In the last 24 hours: When I was upset, I had difficulty focusing on other things 0::4 0= Almost never in the past 24 hours; 1= Sometimes; 2= About half the time; 3= Most of the time; 4= Almost always in the past 24 hours q26
diary38 Integer Recommended In the last 24 hours: People made me feel good about my LGBTQ identity 0::6 0= Very strongly disagree; 1= Strongly Disagree; 2= Mildly Disagree; 3= Neutral; 4= Mildly Agree; 5= Strongly Agree; 6= Very Strongly Agree q27
diary39 Integer Recommended In the last 24 hours: I felt supported by my family. 0::6 0= Very strongly disagree; 1= Strongly Disagree; 2= Mildly Disagree; 3= Neutral; 4= Mildly Agree; 5= Strongly Agree; 6= Very Strongly Agree q28
diary40 Integer Recommended In the last 24 hours: I felt supported by my friends 0::6 0= Very strongly disagree; 1= Strongly Disagree; 2= Mildly Disagree; 3= Neutral; 4= Mildly Agree; 5= Strongly Agree; 6= Very Strongly Agree q29
diary41 Integer Recommended In the last 24 hours: I felt supported by someone other than a family member or friend 0::6 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely/Very True q30
diary42 Integer Recommended In the last 24 hours: I had high self-esteem 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely/Very True q31
diary43 Integer Recommended In the last 24 hours: I was uncomfortable with being LGBTQ. 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely/Very True q32
diary44 Integer Recommended In the last 24 hours: I hid part of my LGBTQ identity from other people 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely/Very True q33
diary45 Integer Recommended In the last 24 hours: I worried about what someone may be thinking about me because of my LGBTQ identity 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely/Very True q34
diary46 Integer Recommended In the last 24 hours: I expected people to think badly of me because of my LGBTQ identity. 0::4 0= Very Slightly or not at all; 1= A little; 2= Moderately; 3= Quite a bit; 4= Extremely/Very True q35
diary47 String 200 Recommended What were your "lows" or negatives about being LGBTQ today q36
diary48 String 200 Recommended What were your "highs" or positives/highlights about being LGBTQ today? q37
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.