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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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Acculturation Survey

1,095 Shared Subjects

N/A
Clinical Assessments
Social Adjustment
07/07/2015
acc01
03/15/2023
View Change History
01
Definition
Submission Template
Query Element Name Data Type Size Required Condition 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 aid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY ladder_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
site String 101 Recommended Site Study Site asite
Query clinicid Integer Recommended Clinic ID aclinic
Query interv Integer Recommended Intervention Status 0;1 1=ITV, intervention; 0=TAU, treatment as usual
Query visit String 60 Recommended Visit name eventname, wave
Query days_baseline Integer Recommended Days since baseline lof
Query ustime_coded Integer Recommended About how long have you been in the United States? PX011201_Years_living_in_US_Coded 0::95;97;99 0=less than 1 year; 95= 95+ years; 97=Refused; 99=Don't Know acc2_yrs
Query acc3_age Integer Recommended Age when immigrated to United States
Query acc4 Integer Recommended Imagine a ladder with ten rungs on it. On the top rung of this ladder are the people who are best off-those who have the most money, the most education, and the most respected jobs. On the bottom rung of the ladder are people who are the worst off-those that have the least money, least education, and the least respected jobs, or no job at all. The higher up you are on the ladder, the closer you are to the people at the very top; the lower you are, the closer you are to the people at the very bottom. Where (or on what rung) of this ten-rung ladder would you place yourself? 0::10 ladder_score, mssss_adult_1
Query acc5 Integer Recommended Imagine the same ten-rung ladder. But now, the ladder represents where people stand in their communities. People define 'community' in different ways; please define it in whatever way is most meaningful to you. The top of the ladder is where people with the highest standing in their community would be. At the bottom of the ladder are people who have the lowest standing in their community. Where on this ten-rung ladder do you think you stand at this time of your life, relative to other people in your community? 0::10 mssss_adult_2
Query acc6 Integer Recommended How often do people treat you unfairly because of your race or ethnicity?
Query ustime String 100 Recommended How long you lived in US, years
Query accult_select_language Integer Recommended Test given in Spanish? ¿Español? 0 ; 1 0 = No; 1 = Yes accult_select_language___1
Query speak_eng Integer Recommended How well do you speak English? ¿Qué tan bien habla usted el inglés?
0::3; 8; 9
0 = Poor/Mal; 1 = Fair/Regular; 2 = Good/Bien; 3 = Excellent/Excelente; 8 = Don't Know/No se; 9 = Refused/Niego contestar accult_q1_p, accult_q1_y
Query accult_q2_p Integer Recommended Besides English, do you speak or understand another language or dialect? ¿Además del inglés, habla o entiende otro idioma o dialecto? 0;1 0=No; 1=Yes accult_q2_y
oth_lang String 150 Recommended What other languages are you fluent in? accult_q3_p, accult_q3_y
Query accult_q3_dropdwn_p Integer Recommended accult_q2_p == 1 What other language or dialect do you speak or understand (besides English)? ¿Cuál es el dialecto o idioma que mejor habla o entiende (además del inglés)? 1::57 1 = American Sign Language (ASL); 2 = Arabic; 3 = Arawak; 4 = Bangla; 5 = Bosnian; 6 = Cantonese; 7 = Cham; 8 = An American Indian or Alaska Native language; 9 = Creole; 10 = Croatian; 11 = Dutch; 12 = Filipino; 13 = Finnish; 14 = Flemish; 15 = French; 16 = Frisian; 17 = Gaelic; 18 = Garifuna; 19 = German; 20 = Greek; 21 = Hakka; 22 = Hebrew; 23 = Hindi; 24 = Hokkien; 25 = Hungarian; 26 = Italian; 27 = Japanese; 28 = Jarai; 29 = Khmer; 30 = Korean; 31 = Kuy; 32 = Luganda; 33 = Mandarin; 34 = Nepali; 35 = Papiamento; 36 = Patois; 37 = Persian; 38 = Polish; 39 = Portuguese; 40 = Punjabi; 41 = Romanian; 42 = Russian; 43 = Samoan; 44 = Serbian; 45 = Sinhala; 46 = Sourashtra; 47 = Spanish (Español); 48 = Stieng; 49 = Swahili; 50 = Tagalog; 51 = Tamil; 52 = Telugu; 53 = Thai; 54 = Turkish; 55 = Urdu; 56 = Vietnamese; 57 = Other accult_q3_dropdwn_y
accult_q3_other_p String 30 Conditional accult_q3_dropdwn_p == 57 What other language or dialect do you speak or understand (besides English)? ¿Cuál es el dialecto o idioma que mejor habla o entiende (además del inglés)? accult_q3_other_y
Query friend_speak Integer Conditional accult_q2_p == 1 What language do you speak with most of your friends? ¿En qué idioma habla con la mayoría de sus amistades?
0::4; 8; 9
0 = (Other language) all the time/(Otro idioma) todo el tiempo; 1 = (Other language) most of the time /(Otro idioma) la mayor parte del tiempo; 2 = (Other language) and English equally /(Otro idioma) e inglés igualmente; 3 = English most of the time /Inglés la mayor parte del tiempo; 4 = English all the time/ Inglés todo el tiempo; 8 = Don't Know /No se; 9 = Refused/ Niego contestar accult_q4_p, accult_q4_y
Query family_speak Integer Conditional accult_q2_p == 1 What language do you speak with most of your family? ¿En qué idioma habla con la mayoría de su familia?
0::4; 8; 9
0 = (Other language) all the time/(Otro idioma) todo el tiempo; 1 = (Other language) most of the time /(Otro idioma) la mayor parte del tiempo; 2 = (Other language) and English equally /(Otro idioma) e inglés igualmente; 3 = English most of the time /Inglés la mayor parte del tiempo; 4 = English all the time/ Inglés todo el tiempo; 8 = Don't Know /No se; 9 = Refused/ Niego contestar accult_q5_p, accult_q5_y
Query respond Integer Required Respondent 1::7;999 1 = Parent; 2 = Teacher; 3=Self; 4= Other; 5= Significant other; 6 = Parent 1; 7 = Parent 2; 999 = Not available
teen_subject_id String 20 Recommended Teen subject ID the parent is reporting on
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.