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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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Glasgow Sensory Questionnaire

144 Shared Subjects

N/A
Clinical Assessments
Sensory
10/27/2016
glaseq01
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
Query gsq_1 Integer Recommended 1. Do you dislike the physical sensation you get when people hug you? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_2 Integer Recommended 2. Do you gag when you are eating certain foods, perhaps feeling as if you are going to be sick? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_3 Integer Recommended 3. Do you find it difficult to manipulate your hands when completing a delicate task? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_4 Integer Recommended 4. Do you ever run your hand around the outside of an object before picking it up? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_5 Integer Recommended 5. Do you stand very close or very far when you are talking to someone? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_6 Integer Recommended 6. Do you find certain noises/pitches of sound annoying? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_7 Integer Recommended 7. Do you smell your food before you eat it? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_8 Integer Recommended 8. Do bright lights ever hurt your eyes/cause a headache? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_9 Integer Recommended 9. Do you like to listen to the same piece of music/part of a DVD over and over again? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_10 Integer Recommended 10. Do you feel ill/dizzy/peculiar if you have to reach up high or bend down low for something? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_11 Integer Recommended 11. Do you find yourself fascinated by small particles? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_12 Integer Recommended 12. Do you like to spin yourself round and round? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_13 Integer Recommended 13. Do you ever feel ill just from smelling a certain odour? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_14 Integer Recommended 14. Do you find it difficult to hear what people are saying? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_15 Integer Recommended 15. Do you dislike having a haircut? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_16 Integer Recommended 16. Do you notice that you have hurt yourself but did not feel any pain? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_17 Integer Recommended 17. Are you ever told by others that you wear too much perfume/after-shave? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_18 Integer Recommended 18. Do lights ever seem to flicker when you look at them? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_19 Integer Recommended 19. Do you like lining objects up? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_20 Integer Recommended 20. Do you rock yourself backwards and forwards? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_21 Integer Recommended 21. Do you find it difficult to go into a strong-smelling shop? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_22 Integer Recommended 22. Do you cut the labels out of your clothes? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_23 Integer Recommended 23. Do you hate the feel or texture of certain foods in your mouth? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_24 Integer Recommended 24. Do you avoid going to restaurants because you can smell a certain odour? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_25 Integer Recommended 25. Do you dislike loud noises? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_26 Integer Recommended 26. Do you use the tip of your tongue to taste your food before eating it? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_27 Integer Recommended 27. Does your body ever feel numb - like you can't feel anything against your skin? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_28 Integer Recommended 28. Do you think you have a weak sense of taste? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_29 Integer Recommended 29. Do you find that you are unaware of your body's signals? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_30 Integer Recommended 30. Do you ever feel dizzy/ill when playing fast-paced sports? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_31 Integer Recommended 31. Do you react very strongly when you hear an unexpected sound? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_32 Integer Recommended 32. Do you dislike walking on uneven surfaces? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_33 Integer Recommended 33. Do you really like listening to certain sounds? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_34 Integer Recommended 34. Do you like to run about - perhaps up and down in straight lines or round in circles? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_35 Integer Recommended 35. Do you chew and lick objects that aren't food because you like the way they feel in your mouth? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_36 Integer Recommended 36. Do you enjoy wearing very strong perfumes/after-shaves? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_37 Integer Recommended 37. Do you find that you position your body in a way that is different to most people? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_38 Integer Recommended 38. Do you find it difficult to tie your shoelaces or button up your clothes? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_39 Integer Recommended 39. Do you find that you are able to go outside without a coat or jacket when other people think that it is too cold? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_40 Integer Recommended 40. Do you eat the same foods most of the time? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_41 Integer Recommended 41. Do you like to wear something/hold something so that you know where your body ends? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_42 Integer Recommended 42. Do you flick your fingers in front of your eyes? 0::4; 999 0 = Never; 1 = Rarely; 2 = Sometimes; 3 = Often; 4 = Always; 999=missing/NA/NK
Query gsq_total Integer Required GSQ Total Score (Sum of 42 items) 0::168
Query gsq_visual_hyper Integer Recommended Subscore for Visual hypersensitivity items 999=missing/NA/NK
Query gsq_visual_hypo Integer Recommended Subscore for Visual hyposensitivity items 999=missing/NA/NK
Query gsq_visual_total Integer Recommended Subscore total for Visual modality items 999=missing/NA/NK
Query gsq_auditory_hyper Integer Recommended Subscore for Auditory hypersensitivity items 999=missing/NA/NK
Query gsq_auditory_hypo Integer Recommended Subscore for Auditory hyposensitivity items 999=missing/NA/NK
Query gsq_auditory_total Integer Recommended Subscore total for Auditory modality items 999=missing/NA/NK
Query gsq_gustatory_hyper Integer Recommended Subscore for Gustatory hypersensitivity items 999=missing/NA/NK
Query gsq_gustatory_hypo Integer Recommended Subscore for Gustatory hyposensitivity items 999=missing/NA/NK
Query gsq_gustatory_total Integer Recommended Subscore total for Gustatory modality items 999=missing/NA/NK
Query gsq_olfactory_hyper Integer Recommended Subscore for Olfactory hypersensitivity items 999=missing/NA/NK
Query gsq_olfactory_hypo Integer Recommended Subscore for Olfactory hyposensitivity items 999=missing/NA/NK
Query gsq_olfactory_total Integer Recommended Subscore total for Olfactory modality items 999=missing/NA/NK
Query gsq_tactile_hyper Integer Recommended Subscore for Tactile hypersensitivity items 999=missing/NA/NK
Query gsq_tactile_hypo Integer Recommended Subscore for Tactile hyposensitivity items 999=missing/NA/NK
Query gsq_tactile_total Integer Recommended Subscore total for Tactile modality items 999=missing/NA/NK
Query gsq_vestibular_hyper Integer Recommended Subscore for Vestibular hypersensitivity items 999=missing/NA/NK
Query gsq_vestibular_hypo Integer Recommended Subscore for Vestibular hyposensitivity items 999=missing/NA/NK
Query gsq_vestibular_total Integer Recommended Subscore total for Vestibular modality items 999=missing/NA/NK
Query gsq_proprioception_hyper Integer Recommended Subscore for Proprioception hypersensitivity items 999=missing/NA/NK
Query gsq_proprioception_hypo Integer Recommended Subscore for Proprioception hyposensitivity items 999=missing/NA/NK
Query gsq_proprioception_total Integer Recommended Subscore total for Proprioception modality items 999=missing/NA/NK
Query gsq_hyper_total Integer Recommended Subscore total for all GSQ hypersensitivity items across modalities 999=missing/NA/NK
Query gsq_hypo_total Integer Recommended Subscore total for all GSQ hyposensitivity items across modalities 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.