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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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Independent Living Skills Survey Self Report Interview

107 Shared Subjects

N/A
Clinical Assessments
Personality
04/13/2016
ilss01
04/13/2016
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 subject_id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field date
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. age_months
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query visit String 60 Recommended Visit name assessment_number
Query ilss_appear_avg Float Recommended Average Score Appearance and Clothing ilss_appear
Query ilss_appear_1 Integer Recommended Wash your clothes by hand or machine using the proper amount of detergent? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_appear_2 Integer Recommended Dry your clothes in a dryer or on a clothes line? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_appear_3 Integer Recommended Fold, hang up, and store your clothes after they were washed and dried? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_appear_4 Integer Recommended Store your dirty clothes separate from your clean clothes? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_appear_5 Integer Recommended Change your underwear at least twice a week? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_appear_6 Integer Recommended Buy your own clothes the last time you needed some? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_appear_7 Integer Recommended Clothing appears neat and clean 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_appear_8 Integer Recommended Clothing appears appropriate for the time of year 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_appear_9 Integer Recommended Colors and types of clothing appear appropriately coordinated 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_avg Float Recommended Average Score Personal Hygiene ilss_hyg
Query ilss_hyg_1 Integer Recommended Bathe or shower using soap at least twice a week? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_2 Integer Recommended Shampoo your hair at least twice a week (once a week for females)? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_3 Integer Recommended Use deodorant daily? 0;1;-9 0=No;1=Yes;-9=N/A
Query mcg_ao_comb Integer Recommended Comb or brush own hair 0; 1; 2 0 = No; 1 = Yes; 2 = Not answered; -9=N/A ilss_hyg_4
Query ilss_hyg_5 Integer Recommended Brush your teeth (or dentures) using toothpaste at least once a day? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_6 Integer Recommended Regularly clean your nails? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_7 Integer Recommended Face, arms, hands, etc. appear clean 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_8 Integer Recommended Hair appears clean 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_9 Integer Recommended Hair appears neatly combed 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_10 Integer Recommended Hair appears neatly cut 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_11 Integer Recommended No body odor 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_hyg_12 Integer Recommended Nails appear clean 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_care_avg Float Recommended Average Score Care of Personal Possessions ilss_care
Query ilss_care_1 Integer Recommended Make your bed daily? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_care_2 Integer Recommended Keep your room clean? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_care_3 Integer Recommended Pick up your "clutter" and put back items where they belong? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_care_4 Integer Recommended Wipe up spills on your furniture or carpet such as coffee? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_care_5 Integer Recommended Vacuum (if you have a carpet) or mop your floor? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_care_6 Integer Recommended Dust your furniture? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_food_avg Float Recommended Average Score Food Preparation/Storage ilss_food
Query ilss_food_1 Integer Recommended Prepare simple foods such as sandwiches, cold cereal, etc., that did not require cooking? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_food_2 Integer Recommended Prepare foods that required a small amount of cooking such as fried eggs, TV dinners? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_food_3 Integer Recommended Discard spoiled foods? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_food_4 Integer Recommended Wash dishes after meals by hand or in a machine? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_food_5 Integer Recommended Put away the dishes after they'd dried? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_food_6 Integer Recommended Choose mostly nutritional foods to eat; that is, you didn't live on candy and soda? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_food_7 Integer Recommended Buy your own groceries - more than snacks? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_health_avg Float Recommended Average Score Health maintenance ilss_health
Query ilss_health_1 Integer Recommended Administer your own medication? (If you are not prescribed medication, did you administer your own medication when you were last taking it?) 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_health_2 Integer Recommended If you take medication now but you do not administer it yourself, cooperate with the person who administers the medication? (If you are not prescribed medication now, did you cooperate when you were last taking it?) 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_health_3 Integer Recommended Contact the appropriate person to renew your prescription? (If not on medication, did you contact the appropriate person to renew your prescription when you last took it?) 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_health_4 Integer Recommended When you were last ill with a minor physical problem such as a cold, did you correctly take care of yourself? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_health_5 Integer Recommended Do you know the proper use of insurance or welfare coverage such as Medi-Cal, Medicaid, and Medicare? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_health_6 Integer Recommended Smoke cigarettes safely; that is, no holes in clothes, no cigarette burns on beds and furniture (score Y if person does not smoke)? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_health_7 Integer Recommended Take your medication every day exactly as prescribed? (If not on medication, in the past when you were taking medication, did you take the medication every day exactly as prescribed?) 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_money_avg Float Recommended Average Score Money management ilss_money
Query ilss_money_1 Integer Recommended Pay your own bills such as rent, utilities, phone, and transportation? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_money_2 Integer Recommended Make a deposit or withdrawal at a bank? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_money_3 Integer Recommended Budget your money (plan how your funds were to be spent)? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_money_4 Integer Recommended Cash your paycheck or SSI check? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_money_5 Integer Recommended Pay for essential items such as rent prior to spending money on luxuries? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_trans_avg Float Recommended Average Score Transportation ilss_trans
Query ilss_trans_1 Integer Recommended Have a current, valid driver's license? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_trans_2 Integer Recommended Use public buses, trains, or subway? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_trans_3 Integer Recommended When you last went to an unfamiliar place, did you ask others or call public transportation for directions? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_trans_4 Integer Recommended Read a bus schedule the last time you needed the information? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_trans_5 Integer Recommended Have and use your own car? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_avg Float Recommended Average Score Leisure and Community ilss_leisure
Query ilss_leisure_1 Integer Recommended Have a hobby on which you worked regularly? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_2 Integer Recommended Attend religious services? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_3 Integer Recommended Write letters or visit friends/relatives? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_4 Integer Recommended Attend movies/theater? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_5 Integer Recommended Read books, newspapers, or magazines? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_6 Integer Recommended Attend meetings of civic organizations or organizations such as VFW? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_7 Integer Recommended Listen to the radio or watch TV? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_8 Integer Recommended Work in the garden or yard? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_9 Integer Recommended Attend a spectator sport? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_10 Integer Recommended Bowl, play pool, or other sports? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_11 Integer Recommended Play cards/table games? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_leisure_12 Integer Recommended Are you currently registered to vote? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_jseek_avg Float Recommended Average Score Job Seeking ilss_jseek
Query ilss_jseek_1 Integer Recommended Read the classified ads one or more times per week to look for jobs? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_jseek_2 Integer Recommended Contact potential employers to determine possible job openings? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_jseek_3 Integer Recommended Contact friends and others such as employment agencies to obtain job leads? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_jseek_4 Integer Recommended Participate in job interviews? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_jmain_avg Float Recommended Average Score Job Maintenance ilss_jmain
Query ilss_jmain_1 Integer Recommended Get along with your coworkers? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_jmain_2 Integer Recommended Get along with your supervisors? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_jmain_3 Integer Recommended Arrive on time for work and follow a daily work and break schedule? 0;1;-9 0=No;1=Yes;-9=N/A
Query ilss_total_avg Float Required ILSS Average Score Total score ilss_total
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.