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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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Demographics Combat Service

38 Shared Subjects

N/A
Clinical Assessments
Demographics
11/29/2019
demcom01
08/04/2023
View Change History
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. demographic_age
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
dem4a_t1 Integer Recommended Marital Status 1::6; 999; 888; 777; 555 1= Married; 2= Living with a partner, unmarried; 3= Divorced, separated; 4= Widowed; 5= Single, never married; 6= Other; 999= No Answer; 888= Skipped; 777= Condition Skipped; 555= Missing dem04, demo_marital
dem_13 Integer Recommended Number of years married / living together maritalyears
demo_child Integer Recommended Do you have any children living at home? 0;1 0 = No; 1 = Yes
demo_edu Integer Recommended Total number of years of education (For example: Finished high school would be 12, BA/BS = 16, PhD/MD = 20) dem11_educ
empcur Integer Recommended Currently employed 0;1; -99; 77; 88 0 = No; 1 = Yes; -99= N/A ; 88= Missing ; 77= Refused demo_employ
dem10_t1 String 200 Recommended Occupation demo_occup
occupation_employed_hours Float Recommended How many hours do you [patient] typically work per week? Hours/week demo_avgworkhours
demo_fulltime Integer Recommended In the last 12 months, how many weeks were you employed full-time?
demo_parttime Integer Recommended In the last 12 months, how many weeks were you employed part-time, but not full-time?
demo_incomerange Integer Recommended What is your present household income range in the past year 1::7 1 = $0 - $9,999/yr; 2 = $10,000 - $19,999/yr; 3 = $20,000 - $29,999/yr; 4 = $30,000 - $39,999/yr; 5 = $40,000 - $49,999/yr; 6 = $50,000 - $59,999/yr, 7 = over $60,000/yr
ethnicity String 30 Recommended Ethnicity of participant
Hispanic or Latino; Not Hispanic or Latino; Unknown
dem16, demo_hispanic
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
dem15, demographic_race
demo_branch Integer Recommended In what branch of the military did/do you serve? 1::5; 999; 888; 777; 555 1 = U.S. Army; 2 = U.S. Marine Corps; 3 = U.S. Navy; 4 = U.S. Air Force; 5 = U.S. Coast Guard; 999= No Answer; 888= Skipped; 777= Condition Skipped; 555= Missing dem17
demo_militjob String 75 Recommended What was/is your job in the military?
demo_militrank String 75 Recommended What was/is your highest military rank? dem21_rank
demo_honors Integer Recommended Did you receive any medals or honors in the military? 0;1 0 = No; 1 = Yes
psysoc_92 Integer Recommended Months in Military 0::9999 demo_militmonths
demo_militcombat Integer Recommended How many months did/have you served in combat?
demo_militdatesserv String 75 Recommended What were your dates of service?
demo_datescombat String 75 Recommended What were the dates of combat service?
demo_wounded Integer Recommended Were you wounded in combat? 0;1 0 = No; 1 = Yes
demo_servdisability Integer Recommended Do you have a service connected disability? 0;1 0 = No; 1 = Yes
average_sleep Integer Recommended How much sleep do you average per night? demo_sleep
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 demo_handed
dem18 Integer Recommended How many times have you been deployed to a combat zone?
dem19 String 4,000 Recommended Type of duty right before being deployed the first time?
dem20_deploymentabeginyr Integer Recommended Deployment A-Beginning YEAR:
dem20_deploymentaendyear Integer Recommended Deployment A-End YEAR:
dem20_deploymentalocatio String 4,000 Recommended Deployment A-Location
dem20_deploymentamos Float Recommended Deployment A-MOS:
dem20_deploymentbbeginyr Integer Recommended Deployment B-Beginning YEAR:
dem20_deploymentbendyear Integer Recommended Deployment B-End YEAR:
dem20_deploymentblocatio String 4,000 Recommended Deployment B-Location
dem20_deploymentbmos Float Recommended Deployment B-MOS:
dem20_deploymentcbeginyr Integer Recommended Deployment C-Beginning YEAR:
dem20_deploymentcendyear Integer Recommended Deployment C-End YEAR:
dem20_deploymentclocatio String 4,000 Recommended Deployment C-Location
dem20_deploymentcmos Float Recommended Deployment C-MOS:
dem20b_deploymentdbeginyr Integer Recommended Deployment D-Beginning YEAR:
dem20b_deploymentdendyear Integer Recommended Deployment D-End YEAR:
dem20b_deploymentdlocatio String 4,000 Recommended Deployment D-Location
dem20b_deploymentdmos Float Recommended Deployment D-MOS:
dem20b_deploymentebeginyr Integer Recommended Deployment E-Beginning YEAR:
dem20b_deploymenteendyear Integer Recommended Deployment E-End YEAR:
dem04_o String 4,000 Recommended Please specify the other marital status.
dem20b_deploymentelocatio String 4,000 Recommended Deployment E-Location
dem20b_deploymentemos Float Recommended Deployment E-MOS:
dem20b_deploymentfbeginyr Integer Recommended Deployment F-Beginning YEAR:
dem20b_deploymentfendyear Integer Recommended Deployment F-End YEAR:
dem20b_deploymentflocatio String 4,000 Recommended Deployment F-Location
dem20b_deploymentfmos Float Recommended Deployment F-MOS:
dem22 Integer Recommended What is your total service connection disability percentage?
dem23_adtldisabilitiesdisa String 4,000 Recommended Additional disabilities-Disability
dem23_adtldisabilitiesperc Float Recommended Additional disabilities-Percentage
dem23_disability10disabilit String 4,000 Recommended Disability 10-Disability
dem04b Integer Recommended Are you in a current romantic relationship? 0;1 ; 555;777;888;999 0 = No ; 1 = Yes ;999= No Answer ; 888= Skipped ; 777= Condition Skipped ; 555= missing
dem23_disability10percentag Float Recommended Disability 10-Percentage 0::100
dem23_disability1disabilit String 4,000 Recommended Disability 1-Disability
dem23_disability1percentag Float Recommended Disability 1-Percentage 0::100
dem23_disability2disabilit String 4,000 Recommended Disability 2-Disability
dem23_disability2percentag Float Recommended Disability 2-Percentage 0::100
dem23_disability3disabilit String 4,000 Recommended Disability 3-Disability
dem23_disability3percentag Float Recommended Disability 3-Percentage 0::100
dem23_disability4disabilit String 4,000 Recommended Disability 4-Disability
dem23_disability4percentag Float Recommended Disability 4-Percentage 0::100
dem23_disability5disabilit String 4,000 Recommended Disability 5-Disability
dem06b Integer Recommended If you have a current romantic partner or spouse, how long have you been in the relationship?
dem23_disability5percentag Float Recommended Disability 5-Percentage 0::100
dem23_disability6disabilit String 4,000 Recommended Disability 6-Disability
dem23_disability6percentag Float Recommended Disability 6-Percentage 0::100
dem23_disability7disabilit String 4,000 Recommended Disability 7-Disability
dem23_disability7percentag Float Recommended Disability 7-Percentage 0::100
dem23_disability8disabilit String 4,000 Recommended Disability 8-Disability
dem23_disability8percentag Float Recommended Disability 8-Percentage 0::100
dem23_disability9disabilit String 4,000 Recommended Disability 9-Disability
dem23_disability9percentag Float Recommended Disability 9-Percentage 0::100
dem24 Integer Recommended Are you service connected for unemployability? 0;1 ;555;777;888;999 0 = No ; 1 = Yes ;999= No Answer ; 888= Skipped ; 777= Condition Skipped ; 555= missing
dem08_other String 4,000 Recommended Please specify other employment status.
dem09_income Integer Recommended Please indicate the total amount of money you received during the past year from work, benefits, and compensation.
dem10_incom_famsz Integer Recommended Please indicate the number of people dependent on this income.
dem13_other String 4,000 Recommended Please specify the other degree.
dem05_children Integer Recommended Number of children
dem07_occupation Integer Recommended Please select the category that best represents your current occupation 1 :: 8 ; 555;777;888;999 1 = Higher executive, proprietor of a large business, major professional ; 2 = Business manager, proprietor of medium-sized business, lesser professional ; 3 = Administrative personnel, proprietor of a small business, minor professional ; 4 = Clerical, sales worker, technician, or owner of a little business ; 5 = Skilled manual employee ; 6 = Machine operation and semiskilled employee ; 7 = Unskilled employee ; 8 = Student ;999= No Answer ; 888= Skipped ; 777= Condition Skipped ; 555= missing
dem08_employment Integer Recommended Please indicate your usual employment status in the past year. 1 :: 7 ; 555;777;888;999 1 = Full time (40 hrs/week) ; 2 = Part time (regular hours) ; 3 = Part time (irregular hours) ; 4 = Student ; 5 = Retired/disability ; 6 = Unemployed ; 7 = Other ;999= No Answer ; 888= Skipped ; 777= Condition Skipped ; 555= missing
dem12_college Integer Recommended Are you currently enrolled in college or technical school? 1 :: 5 ;555;777;888;999 1 = Full-time college ; 2 = Part-time college ; 3 = Full-time technical school ; 4 = Part-time technical school ; 5 = Not enrolled ;999= No Answer ; 888= Skipped ; 777= Condition Skipped ; 555= missing
dem13_degree Integer Recommended What is the highest degree you have obtained? 1 :: 9 ;555;777;888;999 1 = Elementary ; 2 = GED ; 3 = Highschool ; 4 = Trade school/certificate ; 5 = Associates degree ; 6 = Bachelor degree ; 7 = Master''s degree ; 8 = Doctorate degree ; 9 = Other ;999= No Answer ; 888= Skipped ; 777= Condition Skipped ; 555= missing
dem14_gpa Float Recommended GPA - For current or last time you were enrolled in school
demo_medicate String 4,000 Recommended Please list any current medications
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.