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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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ADI-R Regression Supplemental Questionnaire

0 Shared Subjects

N/A
Clinical Assessments
Questionnaire
12/22/2016
adir_rsq01
12/22/2016
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
Query skills_loss Integer Recommended Was your child's loss of skills gradual or sudden? 1;2;9 1 = Gradual; 2 = Sudden; 9 = Don't know/NA losssuddenorgradual
Query noskilldelay Integer Recommended If no skills seem to have been delayed ask In your judgment was your child typically developing prior to hisher loss of skills 0;1; 9 0=No;1=Yes; 9=NA/NK
Query numoflosses Integer Recommended If yes ask How many separate regressions
Query severallosses Integer Recommended If losses appeared within several timeframes ask Do you feel like your child had number of separate regressions 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p1beginningage Integer Recommended Skill 1. Beginning at what age
Query p1extentskilllost Integer Recommended Skill 1. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p1present3mths Integer Recommended Skill 1. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p1skilllost Integer Recommended Skill 1. When was this skill lost months
Query p1skillregained Integer Recommended Skill 1. When was it regained months
Query p2beginningage Integer Recommended Skill 2. Beginning at what age
Query p2extentskilllost Integer Recommended Skill 2. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p2present3mths Integer Recommended Skill 2. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p2skilllost Integer Recommended Skill 2. When was this skill lost months
Query p2skillregained Integer Recommended Skill 2. When was it regained months
Query p3beginningage Integer Recommended Skill 3. Beginning at what age
Query p3extentskilllost Integer Recommended Skill 3. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p3present3mths Integer Recommended Skill 3. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p3skilllost Integer Recommended Skill 3. When was this skill lost months
Query p3skillregained Integer Recommended Skill 3. When was it regained months
Query p4beginningage Integer Recommended Skill 4. Beginning at what age
Query p4extentskilllost Integer Recommended Skill 4. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p4present3mths Integer Recommended Skill 4. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p4skilllost Integer Recommended Skill 4. When was this skill lost months
Query p4skillregained Integer Recommended Skill 4. When was it regained months
Query p5beginningage Integer Recommended Skill 5. Beginning at what age
Query p5extentskilllost Integer Recommended Skill 5. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p5present3mths Integer Recommended Skill 5. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p5skilllost Integer Recommended Skill 5. When was this skill lost months
Query p5skillregained Integer Recommended Skill 5. When was it regained months
Query p6beginningage Integer Recommended Skill 6. Beginning at what age
Query p6extentskilllost Integer Recommended Skill 6. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p6present3mths Integer Recommended Skill 6. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p6skilllost Integer Recommended Skill 6. When was this skill lost months
Query p6skillregained Integer Recommended Skill 6. When was it regained months
Query p7beginningage Integer Recommended Skill 7. Beginning at what age
Query p7extentskilllost Integer Recommended Skill 7. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p7present3mths Integer Recommended Skill 7. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p7skilllost Integer Recommended Skill 7. When was this skill lost months
Query p7skillregained Integer Recommended Skill 7. When was it regained months
Query p8beginningage Integer Recommended Skill 8. Beginning at what age
Query p8extentskilllost Integer Recommended Skill 8. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p8present3mths Integer Recommended Skill 8. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p8skilllost Integer Recommended Skill 8. When was this skill lost months
Query p8skillregained Integer Recommended Skill 8. When was it regained months
Query p9beginningage Integer Recommended Skill 9. Beginning at what age
Query p9extentskilllost Integer Recommended Skill 9. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p9present3mths Integer Recommended Skill 9. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p9skilllost Integer Recommended Skill 9. When was this skill lost months
Query p9skillregained Integer Recommended Skill 9. When was it regained months
Query p10beginningage Integer Recommended Skill 10. Beginning at what age
Query p10extentskilllost Integer Recommended Skill 10. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p10present3mths Integer Recommended Skill 10. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p10skilllost Integer Recommended Skill 10. When was this skill lost months
Query p10skillregained Integer Recommended Skill 10. When was it regained months
Query p11beginningage Integer Recommended Skill 11. Beginning at what age
Query p11extentskilllost Integer Recommended Skill 11. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p11present3mths Integer Recommended Skill 11. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p11skilllost Integer Recommended Skill 11. When was this skill lost months
Query p11skillregained Integer Recommended Skill 11. When was it regained months
Query p12beginningage Integer Recommended Skill 12. Beginning at what age
Query p12extentskilllost Integer Recommended Skill 12. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p12present3mths Integer Recommended Skill 12. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p12skilllost Integer Recommended Skill 12. When was this skill lost months
Query p12skillregained Integer Recommended Skill 12. When was it regained months
Query p13beginningage Integer Recommended Skill 13. Beginning at what age
Query p13extentskilllost Integer Recommended Skill 13. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p13present3mths Integer Recommended Skill 13. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p13skilllost Integer Recommended Skill 13. When was this skill lost months
Query p13skillregained Integer Recommended Skill 13. When was it regained months
Query p14beginningage Integer Recommended Skill 14. Beginning at what age
Query p14extentskilllost Integer Recommended Skill 14. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p14present3mths Integer Recommended Skill 14. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p14skilllost Integer Recommended Skill 14. When was this skill lost months
Query p14skillregained Integer Recommended Skill 14. When was it regained months
Query p15beginningage Integer Recommended Skill 15. Beginning at what age
Query p15extentskilllost Integer Recommended Skill 15. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p15present3mths Integer Recommended Skill 15. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p15skilllost Integer Recommended Skill 15. When was this skill lost months
Query p15skillregained Integer Recommended Skill 15. When was it regained months
Query p16beginningage Integer Recommended Skill 16. Beginning at what age
Query p16extentskilllost Integer Recommended Skill 16. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p16present3mths Integer Recommended Skill 16. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p16skilllost Integer Recommended Skill 16. When was this skill lost months
Query p16skillregained Integer Recommended Skill 16. When was it regained months
Query p17beginningage Integer Recommended Skill 17. Beginning at what age
Query p17extentskilllost Integer Recommended Skill 17. To what extent was the skill lost 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p17present3mths Integer Recommended Skill 17. Was it present for at least months 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p17skilllost Integer Recommended Skill 17. When was this skill lost months
Query p17skillregained Integer Recommended Skill 17. When was it regained months
p18additionalskillorbehavior String 100 Recommended Skill 18. What skill or behavior
Query p18beginningage Integer Recommended Skill 18. If so beginning at what age
Query p18extent Integer Recommended Skill 18. To what extent 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p18present1mth Integer Recommended Skill 18. Was it present for at least one month 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p18skilllost Integer Recommended Skill 18. At what age was this skill first lost
Query p18skillregained Integer Recommended Skill 18. When was it regained
Query p19additionalskillorbehavior String 100 Recommended Skill 19. What skill or behavior
Query p19beginningage Integer Recommended Skill 19. If so beginning at what age
Query p19extent Integer Recommended Skill 19. To what extent 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p19present1mth Integer Recommended Skill 19. Was it present for at least one month 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p19skilllost Integer Recommended Skill 19. At what age was this skill first lost
Query p19skillregained Integer Recommended Skill 19. When was it regained
Query p20additionalskillorbehavior String 100 Recommended Skill 20. What skill or behavior
Query p20beginningage Integer Recommended Skill 20. If so beginning at what age
Query p20extent Integer Recommended Skill 20. To what extent 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p20present1mth Integer Recommended Skill 20. Was it present for at least one month 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p20skilllost Integer Recommended Skill 20. At what age was this skill first lost
Query p20skillregained Integer Recommended Skill 20. When was it regained
Query p21additionalskillorbehavior String 100 Recommended Skill 21. What skill or behavior
Query p21beginningage Integer Recommended Skill 21. If so beginning at what age
Query p21extent Integer Recommended Skill 21. To what extent 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p21present1mth Integer Recommended Skill 21. Was it present for at least one month 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p21skilllost Integer Recommended Skill 21. At what age was this skill first lost
Query p21skillregained Integer Recommended Skill 21. When was it regained
Query p22additionalskillorbehavior String 100 Recommended Skill 22. What skill or behavior
Query p22beginningage Integer Recommended Skill 22. If so beginning at what age
Query p22extent Integer Recommended Skill 22. To what extent 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p22present1mth Integer Recommended Skill 22. Was it present for at least one month 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p22skilllost Integer Recommended Skill 22. At what age was this skill first lost
Query p22skillregained Integer Recommended Skill 22. When was it regained
Query p23additionalskillorbehavior String 100 Recommended Skill 23. What skill or behavior
Query p23beginningage Integer Recommended Skill 23. If so beginning at what age
Query p23extent Integer Recommended Skill 23. To what extent 1;2;9 1=possible loss;2=definite loss; 9=NK/NA
Query p23present1mth Integer Recommended Skill 23. Was it present for at least one month 0;1; 9 0=No;1=Yes; 9=NA/NK
Query p23skilllost Integer Recommended Skill 23. At what age was this skill first lost
Query p23skillregained Integer Recommended Skill 23. When was it regained
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.