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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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ABCD Parent Child Behavior Checklist Scores Aseba (CBCL)

11,877 Shared Subjects

Child Behavior Check List summary scores
Clinical Assessments
Behavior
01/17/2018
abcd_cbcls01
05/27/2021
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
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
eventname String 60 Required The event name for which the data was collected
Query cbcl_scr_syn_anxdep_r Integer Recommended AnxDep CBCL Syndrome Scale (raw score) = cbcl_q14_p and cbcl_q29_p and cbcl_q30_p and cbcl_q31_p and cbcl_q32_p and cbcl_q33_p and cbcl_q35_p and cbcl_q45_p and cbcl_q50_p and cbcl_q52_p and cbcl_q71_p and cbcl_q91_p and cbcl_q112_p 0= Image artifacts prevent radiology read; 1= No abnormal findings ; 2 =Normal anatomical variant of no clinical significance; 3 =Consider clinical referral; 4-=Consider immediate clinical referral
Query cbcl_scr_syn_anxdep_t Integer Recommended AnxDep CBCL Syndrome Scale (t-score)
cbcl_scr_syn_anxdep_m String 200 Recommended AnxDep CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_anxdep_nm Integer Recommended AnxDep CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_withdep_r Integer Recommended WithDep CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_withdep_t Integer Recommended WithDep CBCL Syndrome Scale (t-score)
cbcl_scr_syn_withdep_m String 200 Recommended WithDep CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_withdep_nm Integer Recommended WithDep CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_somatic_r Integer Recommended Somatic CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_somatic_t Integer Recommended Somatic CBCL Syndrome Scale (t-score)
cbcl_scr_syn_somatic_m String 200 Recommended Somatic CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_somatic_nm Integer Recommended Somatic CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_social_r Integer Recommended Social CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_social_t Integer Recommended Social CBCL Syndrome Scale (t-score)
cbcl_scr_syn_social_m String 200 Recommended Social CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_social_nm Integer Recommended Social CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_thought_r Integer Recommended Thought CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_thought_t Integer Recommended Thought CBCL Syndrome Scale (t-score)
cbcl_scr_syn_thought_m String 200 Recommended Thought CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_thought_nm Integer Recommended Thought CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_attention_r Integer Recommended Attention CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_attention_t Integer Recommended Attention CBCL Syndrome Scale (t-score)
cbcl_scr_syn_attention_m String 200 Recommended Attention CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_attention_nm Integer Recommended Attention CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_rulebreak_r Integer Recommended RuleBreak CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_rulebreak_t Integer Recommended RuleBreak CBCL Syndrome Scale (t-score)
cbcl_scr_syn_rulebreak_m String 200 Recommended RuleBreak CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_rulebreak_nm Integer Recommended RuleBreak CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_aggressive_r Integer Recommended Aggressive CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_aggressive_t Integer Recommended Aggressive CBCL Syndrome Scale (t-score)
cbcl_scr_syn_aggressive_m String 200 Recommended Aggressive CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_aggressive_nm Integer Recommended Aggressive CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_internal_r Integer Recommended Internal CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_internal_t Integer Recommended Internal CBCL Syndrome Scale (t-score)
cbcl_scr_syn_internal_m String 2,000 Recommended Internal CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_internal_nm Integer Recommended Internal CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_external_r Integer Recommended External CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_external_t Integer Recommended External CBCL Syndrome Scale (t-score)
cbcl_scr_syn_external_m String 2,000 Recommended External CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_external_nm Integer Recommended External CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_syn_totprob_r Integer Recommended TotProb CBCL Syndrome Scale (raw score)
Query cbcl_scr_syn_totprob_t Integer Recommended TotProb CBCL Syndrome Scale (t-score)
cbcl_scr_syn_totprob_m String 2,000 Recommended TotProb CBCL Syndrome Scale (missing values)
Query cbcl_scr_syn_totprob_nm Integer Recommended TotProb CBCL Syndrome Scale (number of missing values)
Query cbcl_scr_dsm5_depress_r Integer Recommended Depress CBCL DSM5 Scale (raw score)
Query cbcl_scr_dsm5_depress_t Integer Recommended Depress CBCL DSM5 Scale (t-score)
cbcl_scr_dsm5_depress_m String 200 Recommended Depress CBCL DSM5 Scale (missing values)
Query cbcl_scr_dsm5_depress_nm Integer Recommended Depress CBCL DSM5 Scale (number of missing values)
Query cbcl_scr_dsm5_anxdisord_r Integer Recommended AnxDisord CBCL DSM5 Scale (raw score)
Query cbcl_scr_dsm5_anxdisord_t Integer Recommended AnxDisord CBCL DSM5 Scale (t-score)
cbcl_scr_dsm5_anxdisord_m String 200 Recommended AnxDisord CBCL DSM5 Scale (missing values)
Query cbcl_scr_dsm5_anxdisord_nm Integer Recommended AnxDisord CBCL DSM5 Scale (number of missing values)
Query cbcl_scr_dsm5_somaticpr_r Integer Recommended SomaticPr CBCL DSM5 Scale (raw score)
Query cbcl_scr_dsm5_somaticpr_t Integer Recommended SomaticPr CBCL DSM5 Scale (t-score)
cbcl_scr_dsm5_somaticpr_m String 200 Recommended SomaticPr CBCL DSM5 Scale (missing values)
Query cbcl_scr_dsm5_somaticpr_nm Integer Recommended SomaticPr CBCL DSM5 Scale (number of missing values)
Query cbcl_scr_dsm5_adhd_r Integer Recommended ADHD CBCL DSM5 Scale (raw score)
Query cbcl_scr_dsm5_adhd_t Integer Recommended ADHD CBCL DSM5 Scale (t-score)
cbcl_scr_dsm5_adhd_m String 200 Recommended ADHD CBCL DSM5 Scale (missing values)
Query cbcl_scr_dsm5_adhd_nm Integer Recommended ADHD CBCL DSM5 Scale (number of missing values)
Query cbcl_scr_dsm5_opposit_r Integer Recommended Opposit CBCL DSM5 Scale (raw score)
Query cbcl_scr_dsm5_opposit_t Integer Recommended Opposit CBCL DSM5 Scale (t-score)
cbcl_scr_dsm5_opposit_m String 200 Recommended Opposit CBCL DSM5 Scale (missing values)
Query cbcl_scr_dsm5_opposit_nm Integer Recommended Opposit CBCL DSM5 Scale (number of missing values)
Query cbcl_scr_dsm5_conduct_r Integer Recommended Conduct CBCL DSM5 Scale (raw score)
Query cbcl_scr_dsm5_conduct_t Integer Recommended Conduct CBCL DSM5 Scale (t-score)
cbcl_scr_dsm5_conduct_m String 200 Recommended Conduct CBCL DSM5 Scale (missing values)
Query cbcl_scr_dsm5_conduct_nm Integer Recommended Conduct CBCL DSM5 Scale (number of missing values)
Query cbcl_scr_07_sct_r Integer Recommended Sluggish Cognitive Tempo (SCT) CBCL Scale2007 Scale (raw score)
Query cbcl_scr_07_sct_t Integer Recommended Sluggish Cognitive Tempo (SCT) CBCL Scale2007 Scale (t-score)
cbcl_scr_07_sct_m String 200 Recommended Sluggish Cognitive Tempo (SCT) CBCL Scale2007 Scale (missing values)
Query cbcl_scr_07_sct_nm Integer Recommended Sluggish Cognitive Tempo (SCT) CBCL Scale2007 Scale (number of missing values)
Query cbcl_scr_07_ocd_r Integer Recommended Obsessive-Compulsive Problems (OCD) CBCL Scale2007 Scale (raw score)
Query cbcl_scr_07_ocd_t Integer Recommended Obsessive-Compulsive Problems (OCD) CBCL Scale2007 Scale (t-score)
cbcl_scr_07_ocd_m String 200 Recommended Obsessive-Compulsive Problems (OCD) CBCL Scale2007 Scale (missing values)
Query cbcl_scr_07_ocd_nm Integer Recommended Obsessive-Compulsive Problems (OCD) CBCL Scale2007 Scale (number of missing values)
Query cbcl_scr_07_stress_r Integer Recommended Stress CBCL Scale2007 Scale (raw score)
Query cbcl_scr_07_stress_t Integer Recommended Stress CBCL Scale2007 Scale (t-score)
cbcl_scr_07_stress_m String 200 Recommended Stress CBCL Scale2007 Scale (missing values)
Query cbcl_scr_07_stress_nm Integer Recommended Stress CBCL Scale2007 Scale (number of missing values)
cbcl_scr_07_stress_nm_2 Integer Recommended Stress CBCL Scale2007 Scale (number of missing values)
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.