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Filter Cart
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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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Demographics Form Short

1,713 Shared Subjects

N/A
Clinical Assessments
Demographics
03/22/2017
demolatn01
02/21/2023
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 date_ctq, v2_ctq_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. v2_ctq_age
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query race String 30 Recommended Race of study subject
American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported; Other Non-White; Other
dem1
Query ethnicity String 30 Recommended Ethnicity of participant
Hispanic or Latino; Not Hispanic or Latino; Unknown
dem2
Query demo_maritial_status Integer Recommended Marital Status:
1 :: 7
1=Single/Never married; 2=Married or living with someone as if married; 3= Divorced or annulled; 4= Separated; 5=Widowed; 6=Other; 7= Remarried dem3
Query dem4 Integer Recommended Please check the highest level of schooling that you completed. 1::8 1=Elementary school; 2=Junior high school; 3=High school; 4=Some college; 5=Technical school; 6= Junior college; 7=Four-year college; 8= Graduate or professional school
Query educat Float Recommended Number of years in formal education 999=Unknown/Missing dem5, year_of_education
resp_occupation String 255 Recommended Respondent's occupation dem6
Query fmincome String 100 Recommended family income
under 10,000; under 25,000; between 10,000 and 25,000;25,000 to 49,999;50,000 to 74,999;75,000 to 99,999; above 100,000; 100,000 to 124,999;125,000 and above;not provided
dem7
Query cepisode String 150 Recommended Current diagnosis diagnosis
Query smoker Integer Recommended Smoker? 0 :: 4; 9 0=No; 1=Yes; 2= Yes, but not regularly (less than 10 per day); 3= Yes, regularly (10 or more a day); 4= Former smoker; 9=NK/missing current_cigarette_status
Query smoke_current_packs Float Recommended how many packs per day if yes? 0::10 current_cigarette_packs_per_day
Query current_medication String 300 Recommended subject's current medications
Query mental_ill Integer Recommended Do you have a family history of mental illness? 0;1 0 = No; 1 = Yes family_mental_illness_history
Query notes String 200 Recommended Any additional notes note
Query handedness String 29 Recommended handedness R;L;B;999;888;777;555 R = Right; L = Left; B = Both; 999= No Answer; 888= Skipped; 777= Condition Skipped; 555= Missing
Query height Float Recommended Medical history and physical development - Height (inches) inches
weight String 50 Recommended weight -5=item seen but not answered; -999=data not submitted (incomplete)
Query bmi Float Recommended body mass index of subject -9 = Missing
demo_arc08 Date Recommended Opiates: Date of last use MM/DD/YYYY
demo_arc01 Integer Recommended What is your usual pattern of employment over the past 3 years? 1 :: 9 1= Full time (40 hours per week); 2= Part time (regular hours); 3= Part time (irregular hours); 4= Student; 5= Military service; 6= Retired, disability; 7= Homemaker; 8= Unemployed ;9= In controlled environment
demo_arc02 Integer Recommended Are you currently taking any medications? 0;1 0= No; 1= Yes
demo_arc03 Integer Recommended Have you used THC in the past 12 months? 0;1 0= No; 1= Yes
demo_arc04 Date Recommended THC: Date of last use MM/DD/YYYY
demo_arc05 Integer Recommended Have you used Cocaine in the past 12 months? 0;1 0= No; 1= Yes
demo_arc06 Date Recommended Cocaine: Date of last use MM/DD/YYYY
demo_arc07 Integer Recommended Have you used Opiates in the past 12 months? 0;1 0= No; 1= Yes
nimh_re_dem_03 Integer Recommended
yearlyincome Integer Recommended What is your current yearly income? Please estimate the wages from all jobs, public assistance, disability, and money earned off the books. 1::7 1 = Under $15,000; 2 = $15,000 - $24,999; 3 = $25,000 - $34,999; 4 = $35,000 - $49,999; 5 = $50,000 - $74,999; 6 = $75,000 - $99,999; 7 = $100,000 and over
demo_wom01 Integer Recommended At present which statement best describes your menstrual cycle? My periods are regular 0;1 0=No; 1=Yes
demo_wom02 Integer Recommended At present which statement best describes your menstrual cycle? My periods are irregular 0;1 0=No; 1=Yes
demo_wom03 Integer Recommended At present which statement best describes your menstrual cycle? I am pregnant, or my last pregnancy ended within the past 2 months 0;1 0=No; 1=Yes
demo_wom04 Integer Recommended At present which statement best describes your menstrual cycle? My periods have stopped due to menopause 0;1 0=No; 1=Yes
demo_wom05 Integer Recommended At present which statement best describes your menstrual cycle? I have had menopause, but now have periods because I am taking hormones 0;1 0=No; 1=Yes
demo_wom06 Integer Recommended At present which statement best describes your menstrual cycle? I have had an operation (surgery) which has stopped my periods 0;1 0=No; 1=Yes
demo_wom07 Integer Recommended At present which statement best describes your menstrual cycle? I am taking a medication other than birth control which has stopped my periods 0;1 0=No; 1=Yes
demo_wom08 Integer Recommended Specify other medications
demo_wom09 Integer Recommended Specify average length of period in days: Number of Days
demo_wom10 Integer Recommended Approximate first date of last period: MM/DD/YYYY
demo_wom11 Integer Recommended Are you currently taking birth control? 0;1 0=No; 1=Yes
demo_wom12 String 500 Recommended If yes, specify the type of birth control:
dem_emp01 Integer Recommended Are you currently employed? 1 :: 4 1= Yes, I work full time, and I am not a student; 2= Yes, I work part time and I am not a student; 3= No, I am not currently employed; 4= I am a full time student
dem_emp02 Integer Recommended If not employed, why are not you employed? 1 :: 4 1= Because of alcohol or other drug problems; 2= Because of other health problems; 3= Laid Off; 4= Other
dem_emp03 String 500 Recommended If other, please specify why you are not employed:
dem_ment01 String 150 Recommended Did a first degree relative (mother, father, siblings) have any of the following mental health problems? If no mental health problems among first degree relatives, leave this question blank. Anxiety; Depression; Alcoholism; Drug Addiction; Other Mental Health Problem
dem_ment02 String 500 Recommended Other mental health problem, specify:
dem_ment03 String 150 Recommended For each mental health problem checked above, please specify which relative had the problem (e.g., mother, father, sister, brother), if they received treatment for the problem, and if the treatment was inpatient or outpatient:
dem_ment04 Integer Recommended If your mother had alcoholism, did she drink heavily or regularly while she was pregnant with you? 0;1; 88;99 0=No; 1=Yes; 88= Unknown; 99= N/A, my mother did not have alcoholism
demo_upd_income Integer Recommended (Updated) What is your yearly income (if you are married, please include the income of your spouse)? 1 :: 5 1= 0 to 10,000; 2= 10,000 to 25,000; 3= 25,000 to 50,000; 4= 50,000 to 100,000; 5= Above 100,000
demo_upd_edu Integer Recommended (Updated) What is the highest level of education you have achieved? 1 :: 8 1= Some high school, no diploma; 2= High school diploma, GED, no college; 3= High school diploma, GED, some college/technical college, no degree; 4= 2 year college degree/technical degree; 5= 4 year college degree; 6= College degree and some graduate school, but no graduate degree; 7= Masters degree; 8= Ph.D., M.D. or J.D. (or some other professional degree)
dem_ment03_02 String 150 Recommended For each mental health problem checked above, please specify which relative had the problem (e.g., mother, father, sister, brother), if they received treatment for the problem, and if the treatment was inpatient or outpatient: Depression
dem_ment03_03 String 150 Recommended For each mental health problem checked above, please specify which relative had the problem (e.g., mother, father, sister, brother), if they received treatment for the problem, and if the treatment was inpatient or outpatient: Alcoholism
dem_ment03_04 String 150 Recommended For each mental health problem checked above, please specify which relative had the problem (e.g., mother, father, sister, brother), if they received treatment for the problem, and if the treatment was inpatient or outpatient: Drug Addiction
dem_ment03_05 String 150 Recommended For each mental health problem checked above, please specify which relative had the problem (e.g., mother, father, sister, brother), if they received treatment for the problem, and if the treatment was inpatient or outpatient: Other Mental Health Problems
race_demo1 Integer Recommended Race of study subject 1 :: 6 1= American Indian or Alaskan Native; 2= Asian or Pacific Islander; 3= Black, not of Hispanic origin; 4= Hispanic; 5= White, not of Hispanic origin; 6= Other or Unknown
dem_ment01_01 Integer Recommended Did a first degree relative (mother, father, siblings) have any of the following mental health problems? Anxiety 0;1 0= No; 1= Yes
dem_ment01_02 Integer Recommended Did a first degree relative (mother, father, siblings) have any of the following mental health problems? Depression 0;1 0= No; 1= Yes
dem_ment01_03 Integer Recommended Did a first degree relative (mother, father, siblings) have any of the following mental health problems? Alcoholism 0;1 0= No; 1= Yes
dem_ment01_04 Integer Recommended Did a first degree relative (mother, father, siblings) have any of the following mental health problems? Drug Addiction 0;1 0= No; 1= Yes
dem_ment01_05 Integer Recommended Did a first degree relative (mother, father, siblings) have any of the following mental health problems? Other Mental Health Problem 0;1 0= No; 1= Yes
dem_ment03_01 String 150 Recommended For each mental health problem checked above, please specify which relative had the problem (e.g., mother, father, sister, brother), if they received treatment for the problem, and if the treatment was inpatient or outpatient: Anxiety
nimh_rv_dem_03 Integer Recommended Current gender identity 0 :: 9;999 0=Male; 1=Female; 2=Trans male/Trans man; 3=Trans female/Trans woman; 4=Genderqueer or Gender non-conforming; 5=Different identity; 6 = Non-binary; 7 = Refused/prefer not to answer; 8 = Do not know; 9= Not listed; 999= Missing dem_gender1
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.