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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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NIH Toolbox Emotion Domain - Peer Rejection and Perceived Rejection Surveys

2,156 Shared Subjects

N/A
Clinical Assessments
Relationships
03/17/2017
tlbx_rej01
04/01/2020
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 hcpa_id, record_id, subject
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY asrsdate
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
primary_language String 255 Recommended Subject's Primary Language
nih_pin String 25 Recommended PIN number assigned by the NIH Toolbox pin
version_form String 121 Recommended Form used/assessment name assessment_name, pr_version
Query nih_tlbx_se Float Required Standard Error 999=NA/NK/missing nihtbx_rejection_se, pr_se_score, pr_se_score_par, se
Query nih_tlbx_tscore Float Required T-score 0::200; 999 999=NA/NK/missing nihtbx_rejection_tscore, pr_theta_score, pr_theta_score_par, tscore
Query nih_tlbx_theta Float Required Theta 999=NA/NK/missing nihtbx_rejection_theta, peerrejectprox3_12, percrejection18_85, percrejection8_17, pr_t_score, pr_t_score_par, theta
Query pedpxysd01 Integer Recommended In the past month; please describe how often your child is left out by other children. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query pedpxysd02 Integer Recommended In the past month; please describe how often other children refuse to let your child play with them. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query pedpxysd03 Integer Recommended In the past month; please describe how often your child is not chosen as a playmate. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query pedpxysd04 Integer Recommended In the past month; please describe how often your child is actively rejected by other children who refuse to play with him/her. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query pedpxysd05 Integer Recommended In the past month; please describe how often your child is avoided by other children. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query pedpxysd06 Integer Recommended In the past month; please describe how often your child is not well liked by other children. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query pedpxysd07 Integer Recommended In the past month; please describe how often your child is picked on by other children. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query pedpxysd08 Integer Recommended In the past month; please describe how often your child is teased and made fun of by other children. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query pedpxysd09 Integer Recommended In the past month; please describe how often your child is pushed or shoved around by other children. 1::5 1=Never; 2=Rarely; 3=Sometimes; 4=Usually; 5=Always
Query soc276 Integer Recommended Act like my problems aren't that important. 1::5 1= Never, 2= Rarely, 3= Sometimes, 4= Usually, 5= Always sd1b
Query soc276_theta Float Recommended soc276 Theta
Query soc276_tscore Float Recommended soc276 T Score
Query soc276_se Float Recommended soc276 SE
Query soc279 Integer Recommended Act like they don't have time for me. 1::5 1= Never, 2= Rarely, 3= Sometimes, 4= Usually, 5= Always sd1d
Query soc279_theta Float Recommended soc279 Theta
Query soc279_tscore Float Recommended soc279 T Score
Query soc279_se Float Recommended soc276 SE
Query soc281 Integer Recommended Act like they don't care about me. 1::5 1= Never, 2= Rarely, 3= Sometimes, 4= Usually, 5= Always sd1f
Query soc281_theta Float Recommended soc281 Theta
Query soc281_tscore Float Recommended soc281 T Score
Query soc281_se Float Recommended soc281 SE
Query soc283 Integer Recommended Put me down. 1= Never, 2= Rarely, 3= Sometimes, 4= Usually, 5= Always
Query soc283_theta Float Recommended soc283 Theta
Query soc283_tscore Float Recommended soc283 T Score
Query soc283_se Float Recommended soc283 SE
Query soc287 Integer Recommended Make me feel like I don't fit in. 1::5 1= Never, 2= Rarely, 3= Sometimes, 4= Usually, 5= Always
Query soc287_theta Float Recommended soc287 Theta
Query soc287_tscore Float Recommended soc287 T Score
Query soc287_se Float Recommended soc287 SE
Query pedpxysd01_theta Float Recommended pedpxysd01 Theta
Query pedpxysd01_tscore Float Recommended pedpxysd01 T Score
Query pedpxysd01_se Float Recommended pedpxysd01 SE
Query pedpxysd02_theta Float Recommended pedpxysd02 Theta
Query pedpxysd02_tscore Float Recommended pedpxysd02 T Score
Query pedpxysd02_se Float Recommended pedpxysd02 SE
Query pedpxysd03_theta Float Recommended pedpxysd03 Theta
Query pedpxysd03_tscore Float Recommended pedpxysd03 T Score
Query pedpxysd03_se Float Recommended pedpxysd03 SE
Query pedpxysd04_theta Float Recommended pedpxysd04 Theta
Query pedpxysd04_tscore Float Recommended pedpxysd04 T Score
Query pedpxysd04_se Float Recommended pedpxysd04
Query pedpxysd05_theta Float Recommended pedpxysd05 Theta
Query pedpxysd05_tscore Float Recommended pedpxysd05 T Score
Query pedpxysd05_se Float Recommended pedpxysd05 SE
Query pedpxysd06_theta Float Recommended pedpxysd06 Theta
Query pedpxysd06_tscore Float Recommended pedpxysd06 T Score
Query pedpxysd06_se Float Recommended pedpxysd06 SE
Query pedpxysd07_theta Float Recommended pedpxysd07 Theta
Query pedpxysd07_tscore Float Recommended pedpxysd07 T Score
Query pedpxysd07_se Float Recommended pedpxysd07 SE
Query pedpxysd08_theta Float Recommended pedpxysd08 Theta
Query pedpxysd08_tscore Float Recommended pedpxysd08 T Score
Query pedpxysd08_se Float Recommended pedpxysd08 SE
Query pedpxysd09_theta Float Recommended pedpxysd09 Theta
Query pedpxysd09_tscore Float Recommended pedpxysd09 T Score
Query pedpxysd09_se Float Recommended pedpxysd09 SE
Query pr_score Integer Recommended Peer Rejection Score nihtbx_rejection_par_rawscore, pr_score_par, rawscore
Query visit_num Integer Recommended Visit number 1::3 1=Baseline, 2=12 Month, 3=24 Month
Query aescode Integer Recommended Staff code number of person completing this form 999= Missing Data asrsra
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data notes
Query sd1a Integer Recommended Past Month: Perceived Rejection: Don't listen when I ask for help 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Usually; 5 = Always soc275
Query sd1c Integer Recommended Past Month: Perceived Rejection: Let me down when I am counting on them 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Usually; 5 = Always soc277
Query sd1e Integer Recommended Past Month: Perceived Rejection: Act like they don't want to hear about my problems 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Usually; 5 = Always soc280
Query sd1g Integer Recommended Past Month: Perceived Rejection: Act like they can't be bothered by me or my problems 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Usually; 5 = Always soc282
Query sd1h Integer Recommended Past Month: Perceived Rejection: Avoid talking to me 1::5 1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Usually; 5 = Always soc286
fspgod String 70 Recommended Subject's gender OTHER describe
interview_language String 255 Recommended Language Used in the Interview language
wcst_ni Integer Recommended Number of Items itmcnt
nih_tlbx_fctsc Float Recommended Fully-Corrected T-Score 0::120 fully_corrected_t_score
comqother String 255 Recommended Respondent - Other (text) respondent
fneproc String 20 Recommended name of trial procedure being run
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.