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This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

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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 filter 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

  • What is a 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.
  • What do I do after filters are added to the Filter Cart?
    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.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    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.

Glossary

  • Workspace
    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.
  • 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 adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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Sensory Gating Inventory

265 Shared Subjects

N/A
Clinical Assessments
Sensory
10/27/2016
segati01
10/27/2016
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
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY
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 subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender, sex
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data
Query aescode Integer Recommended Staff code number of person completing this form 999= Missing Data experimenter
Query sgi_1 Integer Recommended 1. Every now and then colors seem more vivid to me than usual 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_01
Query sgi_2 Integer Recommended 2. Sometimes I find it difficult to focus on one visual sight to the exclusion of others 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_02
Query sgi_3 Integer Recommended 3. I find it hard to concentrate on just one thing 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_03
Query sgi_4 Integer Recommended 4. The silliest little things that are going on interest me 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_04
Query sgi_5 Integer Recommended 5. At times I have feelings of being flooded by sounds 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_05
Query sgi_6 Integer Recommended 6. There are times when I can't concentrate with even the slightest sounds going on 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_06
Query sgi_7 Integer Recommended 7. Sometimes it seems like someone has turned the volume up--things seem really loud 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_07
Query sgi_8 Integer Recommended 8. There are days when indoor lights seem so bright that they bother my eyes 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_08
Query sgi_9 Integer Recommended 9. I notice background noises more than other people 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK sgi_09
Query sgi_10 Integer Recommended 10. I hear sounds but I can't make sense of them all because it's like trying to do 2 or 3 things at once 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_11 Integer Recommended 11. For several days at a time I have such heightened awareness of sights and sounds that I cannot shut them out 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_12 Integer Recommended 12. It seems like I hear everything at once 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_13 Integer Recommended 13. I am easily distracted 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_14 Integer Recommended 14. It seems like I take in too much 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_15 Integer Recommended 15. When I am driving at night, I am bothered by the bright lights of oncoming traffic 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_16 Integer Recommended 16. It is hard to keep my mind on one thing when there's so much else going on 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_17 Integer Recommended 17. When I am in a group of people I have trouble listening to one person 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_18 Integer Recommended 18. My hearing is so sensitive that ordinary sounds become uncomfortable 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_19 Integer Recommended 19. It's not bad when just one person is speaking but if others join in, then I can't pick is up at all. I just can't get into tune with that conversation 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_20 Integer Recommended 20. Sometimes I notice background noises more than usual 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_21 Integer Recommended 21. Not only the color of things fascinates me but all sorts of little things, like markings in the surface, attract my attention, too 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_22 Integer Recommended 22. I find it difficult to shut out background noise and that makes it difficult for me to concentrate 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_23 Integer Recommended 23. I seem to always notice when automatic appliances turn on and off (like the refrigerator or the heating and cooling systems) 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_24 Integer Recommended 24. I have feelings of being flooded by visual experiences, sights, or colors 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_25 Integer Recommended 25. When I am tired, the brightness of lights bothers me 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_26 Integer Recommended 26. There have been times when it seems that sounds and sights are coming in too fast 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_27 Integer Recommended 27. I can't focus on one sound or voice to the exclusion of others 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_28 Integer Recommended 28. At times I have trouble focusing because I am easily distracted 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_29 Integer Recommended 29. Background noises are just as loud or louder than the main noises 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_30 Integer Recommended 30. I cannot focus on visual images when I am tired or stressed 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_31 Integer Recommended 31. I have more trouble concentrating than others seem to have 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_32 Integer Recommended 32. Maybe its because I notice so much more about things that I find myself looking at them for a longer time 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_33 Integer Recommended 33. Everything grips my attention even though I am not particularly interested in any of it 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_34 Integer Recommended 34. I seem to hear the smallest details of sound 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_35 Integer Recommended 35. When I'm tired sounds seem amplified 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_36 Integer Recommended 36. It seems that sounds are more intense when I'm stressed 0::5; 999 0 = Never True;1 = Almost Never; 2 = Sometimes True; 3 = Sometimes True; 4 = Almost Always; 5 = Always True; 999=missing/NA/NK
Query sgi_total Integer Required SGI Total (sum of 36 items) 0::180; 999 999=missing/NA/NK
Query sgi_perceptualmodulation Integer Recommended Perceptual Modulation Subscale 999=missing/NA/NK
Query sgi_distractibility Integer Recommended Distractibility Subscale 999=missing/NA/NK
Query sgi_overinclusion Integer Recommended Over Inclusion Subscale 999=missing/NA/NK
Query sgi_fatigue_stress Integer Recommended Fatigue-Stress Subscale 999=missing/NA/NK
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.