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Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions



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Independent Living Skills Survey Self Report Interview



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectsubject_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fielddate
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
visitString50RecommendedVisit nameassessment_number
ilss_appear_avgFloatRecommendedAverage Score Appearance and Clothingilss_appear
ilss_appear_1IntegerRecommendedWash your clothes by hand or machine using the proper amount of detergent?0;1;-90=No;1=Yes;-9=N/A
ilss_appear_2IntegerRecommendedDry your clothes in a dryer or on a clothes line?0;1;-90=No;1=Yes;-9=N/A
ilss_appear_3IntegerRecommendedFold, hang up, and store your clothes after they were washed and dried?0;1;-90=No;1=Yes;-9=N/A
ilss_appear_4IntegerRecommendedStore your dirty clothes separate from your clean clothes?0;1;-90=No;1=Yes;-9=N/A
ilss_appear_5IntegerRecommendedChange your underwear at least twice a week?0;1;-90=No;1=Yes;-9=N/A
ilss_appear_6IntegerRecommendedBuy your own clothes the last time you needed some?0;1;-90=No;1=Yes;-9=N/A
ilss_appear_7IntegerRecommendedClothing appears neat and clean0;1;-90=No;1=Yes;-9=N/A
ilss_appear_8IntegerRecommendedClothing appears appropriate for the time of year0;1;-90=No;1=Yes;-9=N/A
ilss_appear_9IntegerRecommendedColors and types of clothing appear appropriately coordinated0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_avgFloatRecommendedAverage Score Personal Hygieneilss_hyg
ilss_hyg_1IntegerRecommendedBathe or shower using soap at least twice a week?0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_2IntegerRecommendedShampoo your hair at least twice a week (once a week for females)?0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_3IntegerRecommendedUse deodorant daily?0;1;-90=No;1=Yes;-9=N/A
mcg_ao_combIntegerRecommendedComb or brush own hair0; 1; 20 = No; 1 = Yes; 2 = Not answered; -9=N/Ailss_hyg_4
ilss_hyg_5IntegerRecommendedBrush your teeth (or dentures) using toothpaste at least once a day?0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_6IntegerRecommendedRegularly clean your nails?0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_7IntegerRecommendedFace, arms, hands, etc. appear clean0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_8IntegerRecommendedHair appears clean0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_9IntegerRecommendedHair appears neatly combed0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_10IntegerRecommendedHair appears neatly cut0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_11IntegerRecommendedNo body odor0;1;-90=No;1=Yes;-9=N/A
ilss_hyg_12IntegerRecommendedNails appear clean0;1;-90=No;1=Yes;-9=N/A
ilss_care_avgFloatRecommendedAverage Score Care of Personal Possessionsilss_care
ilss_care_1IntegerRecommendedMake your bed daily?0;1;-90=No;1=Yes;-9=N/A
ilss_care_2IntegerRecommendedKeep your room clean?0;1;-90=No;1=Yes;-9=N/A
ilss_care_3IntegerRecommendedPick up your "clutter" and put back items where they belong?0;1;-90=No;1=Yes;-9=N/A
ilss_care_4IntegerRecommendedWipe up spills on your furniture or carpet such as coffee?0;1;-90=No;1=Yes;-9=N/A
ilss_care_5IntegerRecommendedVacuum (if you have a carpet) or mop your floor?0;1;-90=No;1=Yes;-9=N/A
ilss_care_6IntegerRecommendedDust your furniture?0;1;-90=No;1=Yes;-9=N/A
ilss_food_avgFloatRecommendedAverage Score Food Preparation/Storageilss_food
ilss_food_1IntegerRecommendedPrepare simple foods such as sandwiches, cold cereal, etc., that did not require cooking?0;1;-90=No;1=Yes;-9=N/A
ilss_food_2IntegerRecommendedPrepare foods that required a small amount of cooking such as fried eggs, TV dinners?0;1;-90=No;1=Yes;-9=N/A
ilss_food_3IntegerRecommendedDiscard spoiled foods?0;1;-90=No;1=Yes;-9=N/A
ilss_food_4IntegerRecommendedWash dishes after meals by hand or in a machine?0;1;-90=No;1=Yes;-9=N/A
ilss_food_5IntegerRecommendedPut away the dishes after they'd dried?0;1;-90=No;1=Yes;-9=N/A
ilss_food_6IntegerRecommendedChoose mostly nutritional foods to eat; that is, you didn't live on candy and soda?0;1;-90=No;1=Yes;-9=N/A
ilss_food_7IntegerRecommendedBuy your own groceries - more than snacks?0;1;-90=No;1=Yes;-9=N/A
ilss_health_avgFloatRecommendedAverage Score Health maintenanceilss_health
ilss_health_1IntegerRecommendedAdminister your own medication? (If you are not prescribed medication, did you administer your own medication when you were last taking it?)0;1;-90=No;1=Yes;-9=N/A
ilss_health_2IntegerRecommendedIf 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;-90=No;1=Yes;-9=N/A
ilss_health_3IntegerRecommendedContact 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;-90=No;1=Yes;-9=N/A
ilss_health_4IntegerRecommendedWhen you were last ill with a minor physical problem such as a cold, did you correctly take care of yourself?0;1;-90=No;1=Yes;-9=N/A
ilss_health_5IntegerRecommendedDo you know the proper use of insurance or welfare coverage such as Medi-Cal, Medicaid, and Medicare?0;1;-90=No;1=Yes;-9=N/A
ilss_health_6IntegerRecommendedSmoke cigarettes safely; that is, no holes in clothes, no cigarette burns on beds and furniture (score Y if person does not smoke)?0;1;-90=No;1=Yes;-9=N/A
ilss_health_7IntegerRecommendedTake 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;-90=No;1=Yes;-9=N/A
ilss_money_avgFloatRecommendedAverage Score Money managementilss_money
ilss_money_1IntegerRecommendedPay your own bills such as rent, utilities, phone, and transportation?0;1;-90=No;1=Yes;-9=N/A
ilss_money_2IntegerRecommendedMake a deposit or withdrawal at a bank?0;1;-90=No;1=Yes;-9=N/A
ilss_money_3IntegerRecommendedBudget your money (plan how your funds were to be spent)?0;1;-90=No;1=Yes;-9=N/A
ilss_money_4IntegerRecommendedCash your paycheck or SSI check?0;1;-90=No;1=Yes;-9=N/A
ilss_money_5IntegerRecommendedPay for essential items such as rent prior to spending money on luxuries?0;1;-90=No;1=Yes;-9=N/A
ilss_trans_avgFloatRecommendedAverage Score Transportationilss_trans
ilss_trans_1IntegerRecommendedHave a current, valid driver's license?0;1;-90=No;1=Yes;-9=N/A
ilss_trans_2IntegerRecommendedUse public buses, trains, or subway?0;1;-90=No;1=Yes;-9=N/A
ilss_trans_3IntegerRecommendedWhen you last went to an unfamiliar place, did you ask others or call public transportation for directions?0;1;-90=No;1=Yes;-9=N/A
ilss_trans_4IntegerRecommendedRead a bus schedule the last time you needed the information?0;1;-90=No;1=Yes;-9=N/A
ilss_trans_5IntegerRecommendedHave and use your own car?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_avgFloatRecommendedAverage Score Leisure and Communityilss_leisure
ilss_leisure_1IntegerRecommendedHave a hobby on which you worked regularly?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_2IntegerRecommendedAttend religious services?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_3IntegerRecommendedWrite letters or visit friends/relatives?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_4IntegerRecommendedAttend movies/theater?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_5IntegerRecommendedRead books, newspapers, or magazines?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_6IntegerRecommendedAttend meetings of civic organizations or organizations such as VFW?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_7IntegerRecommendedListen to the radio or watch TV?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_8IntegerRecommendedWork in the garden or yard?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_9IntegerRecommendedAttend a spectator sport?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_10IntegerRecommendedBowl, play pool, or other sports?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_11IntegerRecommendedPlay cards/table games?0;1;-90=No;1=Yes;-9=N/A
ilss_leisure_12IntegerRecommendedAre you currently registered to vote?0;1;-90=No;1=Yes;-9=N/A
ilss_jseek_avgFloatRecommendedAverage Score Job Seekingilss_jseek
ilss_jseek_1IntegerRecommendedRead the classified ads one or more times per week to look for jobs?0;1;-90=No;1=Yes;-9=N/A
ilss_jseek_2IntegerRecommendedContact potential employers to determine possible job openings?0;1;-90=No;1=Yes;-9=N/A
ilss_jseek_3IntegerRecommendedContact friends and others such as employment agencies to obtain job leads?0;1;-90=No;1=Yes;-9=N/A
ilss_jseek_4IntegerRecommendedParticipate in job interviews?0;1;-90=No;1=Yes;-9=N/A
ilss_jmain_avgFloatRecommendedAverage Score Job Maintenanceilss_jmain
ilss_jmain_1IntegerRecommendedGet along with your coworkers?0;1;-90=No;1=Yes;-9=N/A
ilss_jmain_2IntegerRecommendedGet along with your supervisors?0;1;-90=No;1=Yes;-9=N/A
ilss_jmain_3IntegerRecommendedArrive on time for work and follow a daily work and break schedule?0;1;-90=No;1=Yes;-9=N/A
ilss_total_avgFloatRequiredILSS Average Score Total scoreilss_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.

Distribution for DataStructure: ilss01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.