Loading...

National Institute of Mental Health Data Archive (NDA) Sign In
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
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: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;

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.

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.
Switch User

Behavioral Inhibition Questionnaire

845 Shared Subjects

N/A
Clinical Assessments
Behavior
07/01/2015
biq01
11/14/2022
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* GUID_R03
src_subject_id String 20 Required Subject ID how it's defined in lab/project SID_R03
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.
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query biq01 Integer Recommended Approaches new situations or activities very hesitantly 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ01_R03, biq_child_1, biq_parent_1, rbiqparent_1
Query biq02 Integer Recommended Will happily approach a group of unfamiliar children to join in their play 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ02_R03, biq_child_2, biq_parent_2, rbiqparent_2_r
Query biq03 Integer Recommended Is very quiet around new (adult) guests to our home 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ03_R03, biq_child_3, biq_parent_3, rbiqparent_3
Query biq04 Integer Recommended Is cautious in activities that involve physical challenge (e.g. climbing, jumping from heights) 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ04_R03, biq_child_4, biq_parent_4, rbiqparent_4
Query biq05 Integer Recommended Settles in quickly when visiting the homes of people he/she does not know well 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ05_R03, biq_child_5, biq_parent_5, rbiqparent_5_r
Query biq06 Integer Recommended Enjoys being the center of attention 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ06_R03, biq_child_6, biq_parent_6, rbiqparent_6_r
Query biq07 Integer Recommended Is comfortable asking other children to play 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ07_R03, biq_child_7, biq_parent_7, rbiqparent_7_r
Query biq08 Integer Recommended Is shy when first meeting new children 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ08_R03, biq_child_8, biq_parent_8, rbiqparent_8
Query biq09 Integer Recommended Happily separates from parent(s) when left in new situations for the first time 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ09_R03, biq_child_9, biq_parent_9, rbiqparent_9_r
Query biq10 Integer Recommended Is happy to perform in front of others (e.g. singing, dancing) 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ10_R03, biq_child_10, biq_parent_10, rbiqparent_10_r
Query biq11 Integer Recommended Quickly adjusts to new situations 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ11_R03, biq_child_11, biq_parent_11, rbiqparent_11_r
Query biq12 Integer Recommended Is reluctant to approach a group of unfamiliar children to ask to join in 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ12_R03, biq_child_12, biq_parent_12, rbiqparent_12
Query biq13 Integer Recommended Is confident in activities that involve physical challenge (e.g., climbing, jumping from heights) 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ13_R03, biq_child_13, biq_parent_13, rbiqparent_13_r
Query biq14 Integer Recommended Is independent 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ14_R03, biq_child_14, biq_parent_14, rbiqparent_14_r
Query biq15 Integer Recommended Seems comfortable in new situations 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ15_R03, biq_child_15, biq_parent_15, rbiqparent_15_r
Query biq16 Integer Recommended Is very talkative to adult strangers 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ16_R03, biq_child_16, biq_parent_16, rbiqparent_16_r
Query biq17 Integer Recommended Is hesitant to explore new play equipment 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ17_R03, biq_child_17, biq_parent_17, rbiqparent_17
Query biq18 Integer Recommended Gets upset at being left in new situations for the first time 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ18_R03, biq_child_18, biq_parent_18, rbiqparent_18
Query biq19 Integer Recommended Is very friendly with children they have just met 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ19_R03, biq_child_19, biq_parent_19, rbiqparent_19_r
Query biq20 Integer Recommended Tends to watch other children, rather than join in their games 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ20_R03, biq_child_20, biq_parent_20, rbiqparent_20
Query biq21 Integer Recommended Dislikes being the center of attention 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ21_R03, biq_child_21, biq_parent_21, rbiqparent_21
Query biq22 Integer Recommended Is clingy when we visit the homes of people we do not know well 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ22_R03, biq_child_22, biq_parent_22, rbiqparent_22
Query biq23 Integer Recommended Happily approaches new situations or activities 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ22_R03, biq_child_23, biq_parent_23, rbiqparent_23_r
Query biq24 Integer Recommended Is outgoing 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ24_R03, biq_child_24, biq_parent_24, rbiqparent_24_r
Query biq25 Integer Recommended Seems nervous or uncomfortable in new situations 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ25_R03, biq_child_25, biq_parent_25, rbiqparent_25
Query biq26 Integer Recommended Happily chats with new (adult) visitors to my home 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ26_R03, biq_child_26, biq_parent_26, rbiqparent_26_r
Query biq27 Integer Recommended Takes many days to adjust to new situations 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ27_R03, biq_child_27, biq_parent_27, rbiqparent_27
Query biq28 Integer Recommended Is reluctant to perform in front of others (e.g., singing, dancing) 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ28_R03, biq_child_28, biq_parent_28, rbiqparent_28
Query biq29 Integer Recommended Happily explores new play equipment 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ29_R03, biq_child_29, biq_parent_29, rbiqparent_29_r
Query biq30 Integer Recommended Is very quiet with adult strangers 1::7 1=Hardly ever; 2=Infrequently; 3=Once in a while; 4=Sometimes; 5=Often; 6=Very often; 7=Almost always BIQ30_R03, biq_child_30, biq_parent_30, rbiqparent_30
Query biqscale1 Integer Recommended Unfamiliar peer score
Query biqscale2 Integer Recommended Unfamiliar adults score
Query biqscale3 Integer Recommended Performance situations score
Query biqscale4 Integer Recommended Separation/preschool score
Query biqscale5 Integer Recommended Unfamiliar situations score
Query biqscale6 Integer Recommended Physical challenge score
Query biq_total Float Recommended Behavioral inhibition total score rbi_score
respondent String 20 Recommended Respondent Mother;Father;Parent;Guardian;Teacher;Child;Self;Caregiver;Partner;Other
version_form String 121 Recommended Form used/assessment name
timepoint_label String 50 Recommended Timepoint/visit label
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.