NDA Help Center

Login Dialog

Frequently Asked Questions

Glossary

NDA Help Center

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

Glossary

Loading...

Login
Reset Password

NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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.

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: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;

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
Filter Cart
No filters selected
Description
Value Range
Notes
Data Structures with shared data
No filters have been selected
Switch User

Legal History

0 Shared Subjects

N/A
Clinical Assessments
Questionnaire
12/07/2018
legal01
12/07/2018
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* pseudo_guids
src_subject_id String 20 Required Subject ID how it's defined in lab/project id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field interview_dt_t2, interview_dt_t3, interview_dt_t4
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_t2_mos, age_t3_mos, age_t4_mos
sex String 20 Required Sex of the subject
M;F
M = Male; F = Female gender, gender_t1, gender_t2, gender_t3, gender_t4
parole Integer Recommended Are you currently on probation or parole? 0;1 0 = No; 1 = Yes legal1_t2, legal1_t3, legal1_t4
legal2a_t2 Integer Recommended Are you presently awaiting charges, trial, or sentence? 0;1 0= No; 1= Yes legal2a_t3, legal2a_t4
legal2b_t2 String 200 Recommended If yes, what are the charges? legal2b_t3, legal2b_t4
legal3_t2 Integer Recommended Have you ever been arrested and charged with a crime? 0;1 0= No; 1= Yes legal3_t3, legal3_t4
legal4a_t2 Integer Recommended Arrested and charged with a crime BEFORE your first OEF/OIF/OND deployment? 0;1 0= No; 1= Yes legal4a_t3, legal4a_t4
legal4b_t2 Integer Recommended Crime before deployment: Shoplifting/vandalism: number of times 16= More than 15 times legal4b_t3, legal4b_t4
legal4c_t2 Integer Recommended Crime before deployment: Parole/probation violations: number of times 16= More than 15 times legal4c_t3, legal4c_t4
legal4d_t2 Integer Recommended Crime before deployment: Drug charges: number of times 16= More than 15 times legal4d_t3, legal4d_t4
legal4e_t2 Integer Recommended Crime before deployment: Forgery: number of times 16= More than 15 times legal4e_t3, legal4e_t4
legal4f_t2 Integer Recommended Crime before deployment: Weapons offense: number of times 16= More than 15 times legal4f_t3, legal4f_t4
legal4g_t2 Integer Recommended Crime before deployment: Burglary, larceny, breaking and entering: number of times 16= More than 15 times legal4g_t3, legal4g_t4
legal4h_t2 Integer Recommended Crime before deployment: Robbery: number of times 16= More than 15 times legal4h_t3, legal4h_t4
legal4i_t2 Integer Recommended Crime before deployment: Assault: number of times 16= More than 15 times legal4i_t3, legal4i_t4
legal4j_t2 Integer Recommended Crime before deployment: Arson: number of times 16= More than 15 times legal4j_t3, legal4j_t4
legal4k_t2 Integer Recommended Crime before deployment: Rape: number of times 16= More than 15 times legal4k_t3, legal4k_t4
legal4l_t2 Integer Recommended Crime before deployment: Homicide, manslaughter: number of times 16= More than 15 times legal4l_t3, legal4l_t4
legal4m_t2 Integer Recommended Crime before deployment: Prostitution: number of times 16= More than 15 times legal4m_t3, legal4m_t4
legal4n_t2 Integer Recommended Crime before deployment: Contempt of court: number of times 16= More than 15 times legal4n_t3, legal4n_t4
legal4o_t2 Integer Recommended Crime before deployment: Disorderly conduct, vagrancy, public intoxication : number of times 16= More than 15 times legal4o_t3, legal4o_t4
legal4p_t2 Integer Recommended Crime before deployment: Driving while intoxicated: number of times 16= More than 15 times legal4p_t3, legal4p_t4
legal4q_t2 Integer Recommended Crime before deployment: Major driving violations (reckless driving, speeding, no license, etc.): number of times 16= More than 15 times legal4q_t3, legal4q_t4
legal4r_t2 Integer Recommended Crime before deployment: Other (yes/no) 0;1 0= No; 1= Yes legal4r_t3, legal4r_t4
legal4s_t2 String 200 Recommended Crime before deployment: Other (written out) legal4s_t3, legal4s_t4
legal4t_t2 Integer Recommended Crime before deployment: Other (number of times) 16= More than 15 times legal4t_t3, legal4t_t4
legal4u_t2 Integer Recommended How many of the charges from BEFORE your first OEF/OIF/OND deployment resulted in convictions? 0::30 legal4u_t3, legal4u_t4
legal5a_t2 Integer Recommended Arrested and charged with a crime AFTER your first OEF/OIF/OND deployment? 0;1 0= No; 1= Yes legal5a_t3, legal5a_t4
legal5b_t2 Integer Recommended Crime after deployment: Shoplifting/vandalism: number of times 16= More than 15 times legal5b_t3, legal5b_t4
legal5c_t2 Integer Recommended Crime after deployment: Parole/probation violations: number of times 16= More than 15 times legal5c_t3, legal5c_t4
legal5d_t2 Integer Recommended Crime after deployment: Drug charges: number of times 16= More than 15 times legal5d_t3, legal5d_t4
legal5e_t2 Integer Recommended Crime after deployment: Forgery: number of times 16= More than 15 times legal5e_t3, legal5e_t4
legal5f_t2 Integer Recommended Crime after deployment: Weapons offense: number of times 16= More than 15 times legal5f_t3, legal5f_t4
legal5g_t2 Integer Recommended Crime after deployment: Burglary, larceny, breaking and entering: number of times 16= More than 15 times legal5g_t3, legal5g_t4
legal5h_t2 Integer Recommended Crime after deployment: Robbery: number of times 16= More than 15 times legal5h_t3, legal5h_t4
legal5i_t2 Integer Recommended Crime after deployment: Assault: number of times 16= More than 15 times legal5i_t3, legal5i_t4
legal5j_t2 Integer Recommended Crime after deployment: Arson: number of times 16= More than 15 times legal5j_t3, legal5j_t4
legal5k_t2 Integer Recommended Crime after deployment: Rape: number of times 16= More than 15 times legal5k_t3, legal5k_t4
legal5l_t2 Integer Recommended Crime after deployment: Homicide, manslaughter: number of times 16= More than 15 times legal5l_t3, legal5l_t4
legal5m_t2 Integer Recommended Crime after deployment: Prostitution: number of times 16= More than 15 times legal5m_t3, legal5m_t4
legal5n_t2 Integer Recommended Crime after deployment: Contempt of court: number of times 16= More than 15 times legal5n_t3, legal5n_t4
legal5o_t2 Integer Recommended Crime after deployment: Disorderly conduct, vagrancy, public intoxication : number of times 16= More than 15 times legal5o_t3, legal5o_t4
legal5p_t2 Integer Recommended Crime after deployment: Driving while intoxicated: number of times 16= More than 15 times legal5p_t3, legal5p_t4
legal5q_t2 Integer Recommended Crime after deployment: Major driving violations (reckless driving, speeding, no license, etc.): number of times 16= More than 15 times legal5q_t3, legal5q_t4
legal5r_t2 Integer Recommended Crime after deployment: Other (yes/no) 0;1 0= No; 1= Yes legal5r_t3, legal5r_t4
legal5s_t2 String 200 Recommended Crime after deployment: Other (written out) legal5s_t3, legal5s_t4
legal5t_t2 Integer Recommended Crime after deployment: Other (number of times) 16= More than 15 times legal5t_t3, legal5t_t4
legal5u_t2 Integer Recommended How many of the charges from AFTER your first OEF/OIF/OND deployment resulted in convictions? 0::30 legal5u_t3, legal5u_t4
legal6_t2 Integer Recommended Have you ever been detained or incarcerated in your life? 0;1 0= No; 1= Yes legal6_t3, legal6_t4
legal7a_t2 Integer Recommended Were you incarcerated BEFORE your first OEF/OIF/OND deployment? 0;1 0= No; 1= Yes legal7a_t3, legal7a_t4
legal7b_t2 Integer Recommended Before your first OEF/OIF/OND deployment, how many years in total were you incarcerated? 1::6 1 = Less than a year to less than 3 years; 2= 3 years to less than 6 years; 3= 6 years to less than 9 years; 4= 9 years to less than 12 years; 5= 12 years to less than 15 years; 6= 15 years or more legal7b_t3, legal7b_t4
legal7c_t2 Integer Recommended How many total months were you incarcerated BEFORE deployment?: less than three years 0::36 36= Briefly detained, 1 day or less legal7c_t3, legal7c_t4
legal7d_t2 Integer Recommended How many total months were you incarcerated BEFORE deployment?: three to six years 36::71 legal7d_t3, legal7d_t4
legal7e_t2 Integer Recommended How many total months were you incarcerated BEFORE deployment?: six to nine years 72::107 legal7e_t3, legal7e_t4
legal7f_t2 Integer Recommended How many total months were you incarcerated BEFORE deployment?: nine to twelve years 108::143 legal7f_t3, legal7f_t4
legal7g_t2 Integer Recommended How many total months were you incarcerated BEFORE deployment?: twelve to fifteen years 144::179 legal7g_t3, legal7g_t4
legal8a_t2 Integer Recommended Were you incarcerated AFTER your first OEF/OIF/OND deployment? 0;1 0= No; 1= Yes legal8a_t3, legal8a_t4
legal8b_t2 Integer Recommended Starting AFTER your first OEF/OIF/OND deployment, how many years in total have you been incarcerated? 1::6 1 = Less than a year to less than 3 years; 2= 3 years to less than 6 years; 3= 6 years to less than 9 years; 4= 9 years to less than 12 years; 5= 12 years to less than 15 years; 6= 15 years or more legal8b_t3, legal8b_t4
legal8c_t2 Integer Recommended How many total months were you incarcerated AFTER deployment?: less than three years 0::36 36= Briefly detained, 1 day or less legal8c_t3, legal8c_t4
legal8d_t2 Integer Recommended How many total months were you incarcerated AFTER deployment?: three to six years 36::71 legal8d_t3, legal8d_t4
legal8e_t2 Integer Recommended How many total months were you incarcerated AFTER deployment?: six to nine years 72::107 legal8e_t3, legal8e_t4
legal8f_t2 Integer Recommended How many total months were you incarcerated AFTER deployment?: nine to twelve years 108::143 legal8f_t3, legal8f_t4
legal8g_t2 Integer Recommended How many total months were you incarcerated AFTER deployment?: twelve to fifteen years 144::179 legal8g_t3, legal8g_t4
legal9_t2 Integer Recommended How many days in the past 30 days were you detained or incarcerated? 0::30 legal9_t3, legal9_t4
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.