Loading...

National Institute of Mental Health Data Archive (NDA) Sign In
NDA

Enter the email address associated with your existing NDA Account and click Continue Linking Process.

If you do not have an existing NDA account, click Go Back.

Warning Notice 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.
National Institute of Mental Health Data Archive (NDA) Sign In
NDA

Success! An email is on its way!

Please check your email to complete the linking process. The link you receive is only valid for 30 minutes.

Check your spam or junk folder if you do not receive the email in the next few minutes.

Warning Notice 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.
Create or Link an Existing NDA Account

Warning Notice

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.

NIMH Data Archive (NDA) Sign In or Create An Account
Update Password

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

  • Uppercase
  • Lowercase
  • Numbers
  • Special Characters limited to: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;
Update Password

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the NIMH Data Archive (NDA) web site to go to:

Click on the address above if the page does not change within 10 seconds.

Disclaimer

NDA is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
Data Access Terms - Decline Terms

Are you sure you want to cancel? This will decline terms and you will not be authorized for access.

NIMH Data Archive
Filter Cart
No filters selected
Description
Value Range
Notes
Data Structures with shared data
No filters have been selected
helpcenter.filter-cart

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.
Contact NDA Help Desk
Switch User

Demographic Information

189 Shared Subjects

N/A
Clinical Assessments
Demographics
12/17/2019
demo_info01
08/16/2022
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 record_id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY demo_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
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
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
otherrace String 100 Recommended specify other race The following questions are about you or the child's family. race_other
demo_resp_status Integer Recommended respondent's marital status 1::13 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together;9 = Missing/Not Applicable; 10 = Other; 11=Refused to answer; 12= Engaged; 13=Civil union
times_marr Integer Recommended How many times have you married? married_number_times
widowed Integer Recommended Have you ever been widowed? 0 :: 1 0= no; 1 = yes
numchild Integer Recommended number of children number_children
living_arrangements Integer Recommended What are your current living arrangements? 1 :: 7 1= Alone; 2= With partner, not legally married; 3= With spouse and/or children; 4= With parents or adult children; 5= With siblings or other relatives; 6= With friends/ roommates; 7= In a residential treatment facility
country_origin String 100 Recommended Country of Origin birth_country
ssbcmp00 Integer Recommended Complications or difficulties during birth 0;1 0= No; 1= Yes birth_complications
dem_47_a String 150 Recommended What kind of birth complications? birth_complications_desc
ccc2english Integer Recommended Does the subject speak English as a primary language? 0;1;-9 0 = No; 1 = Yes; -9 = Missing value english_primary_lang
eng_first Integer Recommended Is English your first language? 0;1 0 = No; 1 = Yes english_first
bilingual Integer Recommended Raised bilingual? 0 :: 1 0= no; 1 = yes
demo_first_lang_other String 200 Recommended If other language, please specify bilingual_lang
father_eth_main Integer Recommended biological father's main ethnic group 1::16 1=Anglo-Saxon; 2=Northern European; 3=West European; 4=East European,Slavic; 5=Russian; 6=Mediterranean; 7=Ashkenazi Jew; 8=Sephardic Jew; 9=Hispanic,not Puerto Rican; 10=Puerto Rican Hispanic; 11=Mexican Hispanic; 12=Asian; 13=Arab; 14=Native/Alaskan American; 15=African American,not Hispanic Org; 16=Other
father_other_race String 35 Recommended Father Other race (please specify): father_ethnicity_spec
mother_eth_main Integer Recommended biological mother's main ethnic group 1::16 1=Anglo-Saxon 2=Northern European 3=West European 4=East European,Slavic 5=Russian 6=Mediterranean 7=Ashkenazi Jew 8=Sephardic Jew 9=Hispanic,not Puerto Rican 10=Puerto Rican Hispanic 11=Mexican Hispanic 12=Asian 13=Arab 14=Native/Alaskan American 15=African American,not Hispanic Org 16=Other
mother_other_race String 50 Recommended Mother Other race (please specify): mother_ethnicity_spec
educat Float Recommended Number of years in formal education 999=Unknown/Missing years_education
subject_education Integer Recommended Subject's highest completed grade/degree 1 :: 9 1= 7th grade or less; 2= Between 7th and 9th grade; 3= Between 10th and 12th grade; 4= High school graduate (includes GED); 5= Partial college (includes business school, vocational/technical, RN); 6= 4 year college/university graduate; 7= Graduate degree (M.A., Ph.D., M.D., J.D., etc.); 9= Unknown
father_educat Integer Recommended Father's highest completed grade/degree 1 :: 9 1= 7th grade or less; 2= Between 7th and 9th grade; 3= Between 10th and 12th grade; 4= High school graduate (includes GED); 5= Partial college (includes business school, vocational/technical, RN); 6= 4 year college/university graduate; 7= Graduate degree (M.A., Ph.D., M.D., J.D., etc.); 9= Unknown
mother_educat Integer Recommended Mother's highest completed grade/degree 1 :: 9 1= 7th grade or less; 2= Between 7th and 9th grade; 3= Between 10th and 12th grade; 4= High school graduate (includes GED); 5= Partial college (includes business school, vocational/technical, RN); 6= 4 year college/university graduate; 7= Graduate degree (M.A., Ph.D., M.D., J.D., etc.); 9= Unknown
spouse_education Integer Recommended Spouse's highest completed grade/degree 1 :: 9 1= 7th grade or less; 2= Between 7th and 9th grade; 3= Between 10th and 12th grade; 4= High school graduate (includes GED); 5= Partial college (includes business school, vocational/technical, RN); 6= 4 year college/university graduate; 7= Graduate degree (M.A., Ph.D., M.D., J.D., etc.); 9= Unknown
subject_work_status Integer Recommended Subject's usual work status 1 :: 99 1= Full time (40 hrs/week or more); 2= Half-time (approximately 20 hours/week); 3= Quarter time (approximately 10 hours/week); 4= Unemployed; 5= Retired; 6= Homemaker; 7= Student; 8= Volunteer work --full time; 9= Volunteer work --part time; 10= Disabled; 11= Never worked at least 30% time; 12= Other (specify); 99= Unknown
curr_employ_stsp String 1,000 Recommended We would like to know about what you do --are you working now, looking for work, retired, keeping house, a student, or what? Other (Specify) PX011301_Current_Employment_Status_Specify subject_work_other
father_work_status Integer Recommended Father's usual work status 1 :: 99 1= Full time (40 hrs/week or more); 2= Half-time (approximately 20 hours/week); 3= Quarter time (approximately 10 hours/week); 4= Unemployed; 5= Retired; 6= Homemaker; 7= Student; 8= Volunteer work --full time; 9= Volunteer work --part time; 10= Disabled; 11= Never worked at least 30% time; 12= Other (specify); 99= Unknown
employment_father_other String 50 Recommended Which of the following best describes the current employment status of the child's father (if Other selected) father_work_other2_722
mother_work_status Integer Recommended Mother's usual work status 1 :: 99 1= Full time (40 hrs/week or more); 2= Half-time (approximately 20 hours/week); 3= Quarter time (approximately 10 hours/week); 4= Unemployed; 5= Retired; 6= Homemaker; 7= Student; 8= Volunteer work --full time; 9= Volunteer work --part time; 10= Disabled; 11= Never worked at least 30% time; 12= Other (specify); 99= Unknown
employment_mother_other String 50 Recommended Which of the following best describes the current employment status of the child's mother (if Other selected) mother_work_other
spouse_work_status Integer Recommended Spouse's usual work status 1 :: 99 1= Full time (40 hrs/week or more); 2= Half-time (approximately 20 hours/week); 3= Quarter time (approximately 10 hours/week); 4= Unemployed; 5= Retired; 6= Homemaker; 7= Student; 8= Volunteer work --full time; 9= Volunteer work --part time; 10= Disabled; 11= Never worked at least 30% time; 12= Other (specify); 99= Unknown
spouse_work_other String 50 Recommended Specify spouse other work status
soc_class_father Integer Recommended Social Class: father's current or longest held occupation 1 :: 99 1=Families of wealth, education, top-rank social privilege; 2=Families in which the adults hold college or advanced degrees, in professional or high-rank managerial positions; 3=Small businessmen, white-collar and skilled workers, high school graduates; 4=Semi-skilled workers, laborers education below secondary level; 5=Unskilled and semi-skilled workers, elementary education; 9=Unknown
soc_class_mother Integer Recommended Social Class: mother's current or longest held occupation 1 :: 99 1=Families of wealth, education, top-rank social privilege; 2=Families in which the adults hold college or advanced degrees, in professional or high-rank managerial positions; 3=Small businessmen, white-collar and skilled workers, high school graduates; 4=Semi-skilled workers, laborers education below secondary level; 5=Unskilled and semi-skilled workers, elementary education; 9=Unknown
not_work_past_month Integer Recommended Have you been working or going to school in the past month? 0 :: 1 0= no; 1 = yes
occupation_unemployed_length Integer Recommended What is the current length of your [patient's] unemployment? Approximate months unemployed_length
present_occupation Integer Recommended Present Occupation 1::26;99 1 = Executive, administrative, and managerial occupations; 2 = Professional specialty occupations; 3 = Writers, artists, entertainers, and athletes; 4 = Technicians and related support occupations; 5 = Sales occupations; 6 = Administrative support occupations, including clerical; 7 = Private household occupations; 8 = Protective service occupations; 9 = Service occupations except protective and private household; 10 = Farm operators and managers; 11 = Other farming, forestry, and fishing occupations; 12 = Mechanics and repairers, construction trades, extractive occupations, precision production occupations; 13 = Machine operators, assemblers, and inspectors; 14 = Transportation and material-moving occupations; 15 = Handlers, equipment cleaners, helpers, and laborers; 16 = Armed Services; 17 = Disabled; 18 = Housewife / homemaker; 19 = Never worked; 20 = Full time student; 21 = Unemployed; 22 = Retired; 23 = Business; 24 = Public Employee; 25 = Private Employee; 26 = Informal Work; 99 = Unknown
responsjob Integer Recommended The most responsible job ever held 1::21 1=Executive; 2=Professional; 3=Writers; 4=Technicians; 5=Sales Occupations; 6=Administrative Supporter; 7=Private Household; 8=Protective Service; 9=Service;10=Farm Operators 11=Other Farming 12=Mechanics 13=Machine Operators 14=Transportation 15=Handlers 16=Armed Services 17=Disabled 18=Housewife 19=Student 20=Full time student 21=Unemployed/Retired most_respon_job
household_head_occ Integer Recommended Head of household's most responsible occupation 1 :: 99 1 = Executive, administrative, and managerial occupations; 2 = Professional specialty occupations; 3 = Writers, artists, entertainers, and athletes; 4 = Technicians and related support occupations; 5 = Sales occupations; 6 = Administrative support occupations, including clerical; 7 = Private household occupations; 8 = Protective service occupations; 9 = Service occupations except protective and private household; 10 = Farm operators and managers; 11 = Other farming, forestry, and fishing occupations; 12 = Mechanics and repairers, construction trades, extractive occupations, precision production occupations; 13 = Machine operators, assemblers, and inspectors; 14 = Transportation and material-moving occupations; 15 = Handlers, equipment cleaners, helpers, and laborers; 16 = Armed Services; 17 = Disabled; 18 = Housewife / homemaker; 19 = Never worked; 20 = Full time student; 21 = Unemployed; 22 = Retired; 99 = Unknown
participant_soc_class Integer Recommended Social Class of Participant 1 :: 9 1= Situation of wealth education, top-rank social prestige; 2= College or advanced degree, professional or high-rank managerial position; 3= Small businessman, white-collar and skilled worker, high school graduate; 4= Semi-skilled worker, laborer, education below secondary level; 5= Unskilled and semi-skilled worker, elementary education; 9= Unknown
ann_income Integer Recommended Annual Income 1 :: 7 1= Under $10,000; 2= $10,000 - $20,000; 3= $20,000 - $30,000; 4= $30,000 - $50,000; 5= $50,000 - $95,000; 6= $95,000 and up; 7= unknown
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data demo_notes
member_id Integer Recommended Cognition and Brain Lab - Member ID 10; 21::59; 60 10=control; 60 = proband; 21 = mother; 22 = father; 31-39 = sisters; 41-49 = brothers; 51-59 = offspring
family_id1 Integer Recommended Cognition and Brain Lab - Family ID Range: 0001-2000; Individuals from the same family have the same family ID
prelim_dx String 200 Recommended PHCP/PENS2 - Preliminary Diagnosis
socio_demo17a String 100 Recommended If the response is Yes: List the illnesses
socio_demo18 Integer Recommended How would you rate your overall physical health ? excellent, good, fair, or poor? 1 :: 5 1= Excellent; 2= Good; 3= Fair; 4= Poor; 5= Other
socio_demo19 Integer Recommended How would you rate your overall mental health ? excellent, good, fair, or poor? 1 :: 5 1= Excellent; 2= Good; 3= Fair; 4= Poor; 5= Other
socio_demo7 Integer Recommended Have you read anything about mental illness up until now? 0;1;99 0= No; 1= Yes; 99= Does Not Know, Does Not Response
socio_demo10 Integer Recommended Do you have children (biological or not biological)? 0;1;99 0= No; 1= Yes; 99= Does Not Know, Does Not Response
socio_demo12 Integer Recommended How many people, aside from you, live in your household?
socio_demo15 Integer Recommended Considering all your income from employment and from all sources of everyone in your household, which best describes your income before taxes last month? 1 :: 8 1= Less than de 2,000 DOP/mes; 2= 2,000 to 4,999 DOP/mes; 3= 5,000 to 8,999 DOP/mes; 4= 9,000 to 12,999 DOP/mes; 5= 13,000 to 17,999 DOP/mes; 6= 18,000 to 24,999 DOP/mes; 7= 25,000 to 35,999 DOP/mes; 8= 36,000 or more DOP/mes
socio_demo16 Integer Recommended Has your total income changed since March 2020 (i.e. as a result of the coronavirus pandemic)? 0;1;99 0= No; 1= Yes; 99= Other
socio_demo16a String 4,000 Recommended If the response is Yes: Can you describe this change?
socio_demo17 Integer Recommended Do you have any chronic illnesses, such as diabetes, hypertension, or asthma at this time? 0;1;99 0= No; 1= Yes; 99= Does Not Know, Does Not Response
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.