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Filter Cart
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Data Structures with shared data
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NDA Help Center

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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Financial Needs Questionnaire

69 Shared Subjects

N/A
Clinical Assessments
Well-Being
09/27/2018
fnqc01
03/17/2022
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
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY fnq_c_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.
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query fnq_c_1 Integer Recommended 1. Where do you live? 1::4; -9999 1= A - At home with parents.; 2= B - In a university residence hall.; 3= C - In a fraternity/sorority house.; 4= D - In a house/apartment; -9999= Do not wish to answer
Query fnq_c_2 Integer Recommended 2. How are your living expenses (rent, food, entertainment, etc.) paid? 1::4; -9999 1= A - Mostly by parents=; 2= B - Mostly by scholarship= parents pay the rest.; 3= C - Mostly by yourself; 4= D - Mostly by scholarship= you pay the rest; -9999= Do not wish to answer
Query fnq_mh_1 Integer Recommended 1. Where do you get your money? 1::5 1= A - Allowance from parents/caregivers; 2= B - Gifts; 3= C -You have a regular job; 4= D - You work odd jobs; 5= E - Other
fnq_mh_1_other String 50 Recommended 1. Where do you get your money? Specify "Other
Query fnq_mh_2 Integer Recommended 2. How are your school expenses (notebooks, supplies, etc.) and clothing paid? 1::3 1= A - Mostly by parents/caregivers; 2= B - By yourself and by your parents/caregivers; 3= C - Mostly by yourself fnq_c_3
Query fnq_mh_3 Integer Recommended 3. Who pays for other things you use (cell phone, games, movies, sports, music)? 1::3 1= A - Mostly by parents/caregivers; 2= B - By yourself and by your parents/caregivers; 3= C - Mostly by yourself
Query fnq_mh_4 Integer Recommended 4. During an average week, how often do you eat at a restaurant? 1::4 1= A - Never eat out; 2= B - Less than 3 times; 3= C - 3-7 times; 4= D - Almost all meals fnq_c_4
Query fnq_mh_5 Integer Recommended 5. When you eat out, how much do you usually spend? 1::4 1= A - Your parents/caregivers usually pay when you eat out; 2= B - Less than $6.50; 3= C - $6.50 to $13; 4= D - More than $13 fnq_c_5
Query fnq_mh_6 Integer Recommended 6. How often do you have pocket money to buy simple things? 1::4 1= A - Never; 2= B - Sometimes= but there are days when you are broke.; 3= C - Usually; 4= D - Always fnq_c_6
Query fnq_mh_7 Integer Recommended 7. On weekends, if you want to, how often do you have money to go out? 1::4 1= A - Never; 2= B - Sometimes= but sometimes you have to stay home.; 3= C - Usually; 4= D - Always fnq_c_7
Query fnq_mh_8 Integer Recommended 8. Are you employed? 1::4 1= A - Yes; 2= B - Yes= by family or neighbors; 3= C - No. You don't have a job but you are looking for one; 4= D - No. You don't have a job and you are not looking for one. fnq_c_8
Query fnq_mh_9_parents Float Recommended How much money do you get from Parents/Allowance per month? dollars fnq_c_9_parents
Query fnq_mh_9_jobs Float Recommended How much money do you get from Jobs per month? dollars fnq_c_9_jobs
Query fnq_mh_9_oddjobs Float Recommended How much money do you get from Odd Jobs per month? dollars fnq_c_9_oddjobs
Query fnq_mh_9_gifts Float Recommended How much money do you get from Gifts per year? dollars fnq_c_9_gifts
Query fnq_mh_9_scholarship Float Recommended How much money do you get from Scholarships per month? dollars fnq_c_9_scholarship
Query fnq_mh_9_other Float Recommended How much money do you get from other sources per month? dollars fnq_c_9_other
fnq_mh_9_other_specified String 50 Recommended How much money do you get from other sources per month? Specify "Other fnq_c_9_other_specified
Query fnq_mh_10 Integer Recommended 10. How would you describe your level of financial need? How much do you need money? 0::10 10=being "Extreme financial need"; 0=being "None", fnq_c_16
version_form String 121 Recommended Form used/assessment name
if08 Integer Recommended Do you own a home? 0;1 0= No; 1= Yes
if09 Integer Recommended Do you own any investment properties (e.g., rental property)? 0;1 0= No; 1= Yes
if10 Integer Recommended Do you regularly receive money from your parents or other family members? 0;1 0= No; 1= Yes
if11 Integer Recommended If yes, how much do you receive in a typical month? Amount in US Dollars
if12 Integer Recommended Have you ever applied for SSI or SSDI benefits? 0;1 0= No; 1= Yes
if13 Integer Recommended If yes, was the application approved? 0;1 0= No; 1= Yes
if14 Integer Recommended If it was approved, how much do you receive monthly? Amount in US Dollars
if15 Integer Recommended Do you receive money from any other welfare or government assistance programs? 0;1 0= No; 1= Yes
if16 Integer Recommended If yes, how much do you receive monthly? Amount in US Dollars
if17 Integer Recommended How many credit cards do you have (include bank, store, gas)? Number of Credit Cards
if18 Integer Recommended How many times have you been turned down for a credit card? 0 or Number of Times
if19 Integer Recommended How many times has one of your credit cards been canceled by the issuer (not by you)? 0 or Number of Times
if20 Integer Recommended Do you have debts? (DO NOT COUNT HOUSE, CAR, OR STUDENT LOAN) 0;1 0= No; 1= Yes
if21 Integer Recommended If yes, how much debt to you currently have (not including house, car or student loan)? 1 :: 6 1= Less than 100; 2= 101 500; 3= 501 1,000; 4= 1001 5,000; 5= 5,001 10,000; 6= More than 10,000
if22 Integer Recommended In the past 2 years, have your parents or another family member or friend provided emergency funds to help you out of financial trouble? 0;1 0= No; 1= Yes
if23 Integer Recommended How much money was provided in total? Amount in US Dollars
if24 Integer Recommended In the past two years, have you helped another family member or friend with emergency funds? 0;1 0= No; 1= Yes
if25 Integer Recommended How much money was provided in total? Amount in US Dollars
if26 Integer Recommended In the past two years, have you moved in with parents or other family members after living independently? 0;1 0= No; 1= Yes
if27 String 4,000 Recommended Describe the reasons why you moved back home:
if01 Integer Recommended What is your annual income? 1 :: 41 1= Under 5,000; 2= 5,000 to 9,999; 3= 10,000 to 14,999; 4= 15,000 to 19,999; 5= 20,000 to 24,999; 6= 25,000 to 29,999; 7= 30,000 to 34,999; 8= 35,000 to 39,999; 9= 40,000 to 44,999; 10= 45,000 to 49,999; 11= 50,000 to 54,999; 12= 55,000 to 59,999; 13= 60,000 to 64,999; 14= 65,000 to 69,999; 15= 70,000 to 74,999; 16= 75,000 to 79,999; 17= 80,000 to 84,999; 18= 85,000 to 89,999; 19= 90,000 to 94,999; 20= 95,000 to 99,999; 21= 100,000 to 104,999; 22= 105,000 to 109,999; 23= 110,000 to 114,999; 24= 115,000 to 119,999; 25= 120,000 to 124,999; 26= 125,000 to 129,999; 27= 130,000 to 134,999; 28= 135,000 to 139,999; 29= 140,000 to 144,999; 30= 145,000 to 149,999; 31= 150,000 to 154,999; 32= 155,000 to 159,999; 33= 160,000 to 164,999; 34= 165,000 to 169,999; 35= 170,000 to 174,999; 36= 175,000 to 179,999; 37= 180,000 to 184,999; 38= 185,000 to 189,999; 39= 190,000 to 194,999; 40= 195,000 to 199,999; 41= 200,000 or more
if28 Integer Recommended In the past 12 months, what kind of health insurance have you had? Check any that apply. 0 :: 7 0= No insurance; 1= Employer coverage self; 2= Employer coverage partner; 3= Individual Coverage Self; 4= Individual coverage partner; 5= Medicaid; 6= State plan (CHIP); 7= Other
if29 Integer Recommended If you currently do not have health insurance, what is the reason: 1 :: 5 1= Not applicable, I have insurance; 2= Cant afford; 3= Employer does not offer; 4= Dont need; 5= Other
if30 String 100 Recommended If other, Please specify:
if02 Integer Recommended How much money do you pay in rent or housing monthly? Amount in US Dollars
if03 Integer Recommended Do you provide financially for others (e.g., partner, children)? 0;1 0= No; 1= Yes
if04 Integer Recommended How much money do you have in savings? 1 :: 41 1= Under 5,000; 2= 5,000 to 9,999; 3= 10,000 to 14,999; 4= 15,000 to 19,999; 5= 20,000 to 24,999; 6= 25,000 to 29,999; 7= 30,000 to 34,999; 8= 35,000 to 39,999; 9= 40,000 to 44,999; 10= 45,000 to 49,999; 11= 50,000 to 54,999; 12= 55,000 to 59,999; 13= 60,000 to 64,999; 14= 65,000 to 69,999; 15= 70,000 to 74,999; 16= 75,000 to 79,999; 17= 80,000 to 84,999; 18= 85,000 to 89,999; 19= 90,000 to 94,999; 20= 95,000 to 99,999; 21= 100,000 to 104,999; 22= 105,000 to 109,999; 23= 110,000 to 114,999; 24= 115,000 to 119,999; 25= 120,000 to 124,999; 26= 125,000 to 129,999; 27= 130,000 to 134,999; 28= 135,000 to 139,999; 29= 140,000 to 144,999; 30= 145,000 to 149,999; 31= 150,000 to 154,999; 32= 155,000 to 159,999; 33= 160,000 to 164,999; 34= 165,000 to 169,999; 35= 170,000 to 174,999; 36= 175,000 to 179,999; 37= 180,000 to 184,999; 38= 185,000 to 189,999; 39= 190,000 to 194,999; 40= 195,000 to 199,999; 41= 200,000 or more
if05 Integer Recommended Do you have a tax deferred retirement account? 0;1 0= No; 1= Yes
if06 Integer Recommended Do you invest in the stock market or other financial investments? 0;1 0= No; 1= Yes
if07 Integer Recommended About how much money do you have in investments? Amount in US Dollars
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.