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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.
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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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NIMH Data Archive
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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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Demographic Intake Form

147 Shared Subjects

N/A
Clinical Assessments
Demographics
06/02/2017
difo01
07/11/2017
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 subjectid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY date_of_rating
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. demo_01_age
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported demo_04_gender, 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 demo_06_race
Query ethnicity String 30 Recommended Ethnicity of participant Hispanic or Latino; Not Hispanic or Latino; Unknown demo_05_ethn
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 demo_07_ms
Query elig_22 Integer Recommended English fluency
0;1
0=No; 1=Yes demo_08a_lng
behavioralobservations_lang String 255 Recommended Language (e.g., first/native/other language, English fluency, articulation) demo_08_lng
Query subjedu Integer Recommended Subject's Education 1::16;18;20 1; 2; 3; 4; 5; 6; 7; 8; 9; 10=Elementary/ Middle; 11= High School no diploma; 12=H.S. diploma or GED; 13=Vocational; 14=Assoc. or Tech; 15= Some college courses; 16=Bach.; 18=Master; 20=Doc. demo_09_edu
Query empcur Integer Recommended Currently employed
0;1; -99; 77; 88
0 = No; 1 = Yes; -99= N/A ; 88= Missing ; 77= Refused demo__10a_emp
psdem1 String 50 Recommended What kind of job demo_10a_i_emp
psdem2 String 15 Recommended How long you are employed demo_10a_ii_emp
Query psdem3 Integer Recommended unemployment reason 1::3 1=Disabled; 2=Retired; 3=Other demo_10b_emp_i
Query psdem4 String 15 Recommended date of last employment demo_10b_ii_emp
Query psdem5 String 50 Recommended Type of job demo_10b_iii_emp
Query vetstatus Integer Recommended Veteran/Non-Veteran
1;2
1=No; 2=Yes demo_11_vet
Query psdem6 Integer Recommended Concervator
0;1
0=No; 1=Yes demo_12_con
Query psdem7 Integer Recommended Concervator type 1;2 1=County; 2= Private
Query psqc011 String 1,000 Recommended Significant long-term medical problem 1 demo_13_med
Query psycond1_diag String 100 Recommended Psychiatric Condition 1: diagnosis demo_14_psycdx
Query psdem8 Integer Recommended Do you have any problems with your eyesight
0;1
0=No; 1=Yes demo_15_eye
Query psdem9 Integer Recommended If yes, are the problems completely corrected by glasses or contact lenses
0;1
0=No; 1=Yes demo_15a_eye
Query psdem10 Integer Recommended Do you have glasses or lenses with you
0;1
0=No; 1=Yes demo_15b_eye
Query psdem11 String 25 Recommended Type of glasses/contacts (e.g. bifocals, reading, hard or soft contacts) demo_15b_eye_desc
Query psdem12 Integer Recommended Do you have any eye diseases (e.g. cataracts, glaucoma) and/or have you ever had any eye surgeries or injuries (gone to the eye doctor for anything besides getting glasses)
0;1
0=No; 1=Yes demo_16_eye
Query psdem13 String 50 Recommended Eye disease, specify demo_16_eye-ex
Query psdem14 Integer Recommended do you take medication/eye drops
0;1
0=No; 1=Yes demo_16a_eye
psdem15 String 25 Recommended Name of medication/eye drop demo_16b_eye
Query psdem16 Integer Recommended Have you ever had any neurological problems (e.g. epileptic seizures or coma)
0;1
0=No; 1=Yes demo_17_neuro
Query psdem17 String 50 Recommended Neurological problems, specify demo_17a_neuro
Query headinjr Integer Recommended head injury
0;1
0= no; 1= yes demo_18_inj
Query midihist_035a String 250 Recommended Head Injury describe demo_18a_inj
Query psdem18 Integer Recommended Were you unconscious (knocked out)
0;1
0=No; 1=Yes demo_18b_inj-y
Query psdem19 String 15 Recommended Uncounscious/knocked out how long demo_18b_inj
Query psdem20 Integer Recommended Were you hospitalized for head injury
0;1
0=No; 1=Yes demo_18c_inj
Query psdem21 Integer Recommended Did you have a concussion
0;1
0=No; 1=Yes demo_18d_inj
Query baseline_k_005 Integer Recommended Has she/he ever been to a doctor for any of these things…Diabetes /Diabetes
0;1; -888; -999;-7
0=No; 1=Yes; -888=Not Applicable; -999=Missing/NK; -7=Refused //Now I'd like to ask you about your child's use of health services during the past year and throughout his/her whole life. demo_19_diab
Query mdga12 Integer Recommended Diagnosed with: Diabetes Type I (insulin dependent)
0;1
0=No; 1=Yes demo_19a_diab
Query biofatheredu Integer Recommended Bio Father's Education 1::16;18;20 1; 2; 3; 4; 5; 6; 7; 8; 9; 10=Elementary/ Middle; 11= High School no diploma; 12=H.S. diploma or GED; 13=Vocational; 14=Assoc. or Tech; 15= Some college courses; 16=Bach.; 18=Master; 20=Doc. demo_20_fedu
Query employ_f4 String 100 Recommended Description of Father's job demo_20a_focc
Query psdem22 String 25 Recommended What was your father's income level demo_20b_finc
Query biomotheredu Integer Recommended Bio Mother's Education 1::16;18;20 1; 2; 3; 4; 5; 6; 7; 8; 9; 10=Elementary/ Middle; 11= High School no diploma; 12=H.S. diploma or GED; 13=Vocational; 14=Assoc. or Tech; 15= Some college courses; 16=Bach.; 18=Master; 20=Doc. demo_21_medu
Query momoccuc String 100 Recommended mother's current occupation demo_21_mocc
Query psdem23 String 25 Recommended What was your mother's income level demo_21_minc
Query psdem24 Integer Recommended Are you seeing psychiatrist currently 0;1 0=No; 1=Yes demo_22_psych
Query psdem25 String 15 Recommended Last visit to psychiatrist demo_22a_psych
Query psdem26 Integer Recommended Who is responsible for dispensing your daily medications 1;2 1=Me; 2=Someone else demo_23_med
Query psdem27 String 15 Recommended Person responsible for my daily medications demo_23a_med
Query psdem28 Integer Recommended Have you been or are you currently involved in any outpatient day treatment program? Counseling or group therapy 0;1 0=No; 1=Yes demo_24_tx
Query psdem29 String 50 Recommended where did you receive this therapy, how long have you been enrolled, how often do you attend, and what kind of therapy did you receive demo_24a_tx
Query psdem30 Integer Recommended Have you ever been in Cognitive-Behavioral Therapy or Social Skills Training 0;1 0=No; 1=Yes demo_25_cbt
Query psdem31 String 50 Recommended CBT specify
Query psdem32 String 50 Recommended Social Skills Training, specify
Query age_1st_sx Integer Recommended Age of onset of psychiatric symptoms (years) demo_26_pxsym
Query hpl_03 String 10 Recommended How old were you (or what year was) the first time you were hospitalized for psychiatric symptoms in years demo_26a_pxsym
Query dode String 10 Recommended Date of Data Entry date_of_entry
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data notes
Query aescode Integer Recommended Staff code number of person completing this form 999= Missing Data rater
Query t1wk Integer Recommended Weeks since Treatment Session 1 week
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.