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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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Adult Routine Inventory

0 Shared Subjects

The Adult Routine Inventory (ARI) is a 55-item questionnaire that uses a 5 point Likert scale to ask individuals to describe how often they perform certain routine activities. The ARI aims to measure repeated sensory behaviors.
Clinical Assessments
Checklist
10/19/2022
adult_routine01
10/27/2022
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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
ari_01 Integer Recommended Do you prefer to do things in a particular order? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_02 Integer Recommended Do you prefer to do things in a certain way? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_03 Integer Recommended Are you attached to certain objects? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_04 Integer Recommended Are you concerned with dirt, cleanliness, or neatness? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_05 Integer Recommended Do you arrange objects or perform certain behaviors until they are just right? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_06 Integer Recommended Do you like to eat your meals in a certain order or certain way? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_07 Integer Recommended Do you have persistent habits? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_08 Integer Recommended Do you prefer to have the items on the top of your desks, tables, or counters lined up in straight lines, or in patterns? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_09 Integer Recommended Do you prefer to keep the same schedule or routine every day? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_10 Integer Recommended Do you fiddle with objects (tap pens, rip labels on bottles, etc.)? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_11 Integer Recommended Do you prefer to have certain belongings in their place? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_12 Integer Recommended Are you a picky eater? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_13 Integer Recommended Do you twirl or play with your hair? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_14 Integer Recommended Do you enjoy collecting things? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_15 Integer Recommended Do you focus on details when doing a task? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_16 Integer Recommended Do you clench/grind your teeth during the day or when sleeping? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_17 Integer Recommended Do you notice imperfections in objects, like scratches on furniture, spots/stains, or frays on clothing, etc.? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_18 Integer Recommended Do you prefer to finish one task before moving on to the next? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_19 Integer Recommended Do you prepare for bedtime by engaging in a routine? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_20 Integer Recommended Do you avoid eating certain foods because of their feel or texture? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_21 Integer Recommended Do you lick your lips until they are chapped? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_22 Integer Recommended Do things have to be in their place before you can get anything else done? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_23 Integer Recommended Do you chew non edible objects (like pens or any other objects)? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_24 Integer Recommended Are you sensitive to loud noises? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_25 Integer Recommended Do you fidget or bounce your legs when you are bored or anxious? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_26 Integer Recommended Are you sensitive to the ways that certain clothes feel? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_27 Integer Recommended Do you notice when pictures on walls are not lined up, or are crooked? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_28 Integer Recommended Do you feel you have to complete a task once you have started it? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_29 Integer Recommended Does the sound of people eating bother you? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_30 Integer Recommended Do you seem more aware of high pitched noises than other people? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_31 Integer Recommended Do you pick your skin? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_32 Integer Recommended Are you aware of buzzing or other sounds that come from lights or electronics? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_33 Integer Recommended Do you crack your joints (knuckles, neck, back, jaw, etc.)? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_34 Integer Recommended Do you feel the urge to clear your throat even when you do not have a cold or allergies? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_35 Integer Recommended Do you make odd sounds or noises? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_36 Integer Recommended Are you bothered when objects seem not to be lined up evenly? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_37 Integer Recommended Do you feel bothered if something disrupts your daily schedule or routine? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_38 Integer Recommended Do you tend to tap your fingers when you feel stressed or bored or are trying to concentrate? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_39 Integer Recommended Do you like to have a sense of evenness or balance, so if something touches one side of your body you have the urge to have it touch the other side of your body? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_40 Integer Recommended Do you bite your nails or skin on the fingers (cuticle)? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_41 Integer Recommended Do you rock your body when you feel stressed, bored, or ill? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_42 Integer Recommended Do you order the same meals when you go to a particular restaurant? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_43 Integer Recommended Do you bite your lips/cheeks? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_44 Integer Recommended Do you tug on your hair, eyelashes, or eyebrows? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_45 Integer Recommended Do you like to go to new places? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_46 Integer Recommended Do you feel the urge to do or say things a certain number of times? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_47 Integer Recommended Are you fascinated with one subject or activity? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_48 Integer Recommended Do you recite lines from movies, videos, TV shows, or commercials that you have heard before? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_49 Integer Recommended Are you good at imitating sounds or others voices? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_50 Integer Recommended Do you need to know when future events are happening so that you can plan for them? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_51 Integer Recommended Once something is done a certain way do you feel like it has to be done that way every time? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_52 Integer Recommended Do you insist that certain activities need to take place at a certain time? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_53 Integer Recommended Do you like to try new things? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_54 Integer Recommended Do you clean or straighten up your home or office even when there may be more important things to do at that time? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
ari_55 Integer Recommended Are there certain topics that, once you get started talking on them, it is difficult to stop? 1 :: 5 1= Not At All, Never; 2= A Little, Rarely; 3= Somewhat, Sometimes; 4= Quite A Lot, Often; 5= Very Much, Always
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.