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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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Adolescent Academic Problems Checklist

918 Shared Subjects

Parent and teacher ratings of problem behaviors that interfere with academic functioning.
Clinical Assessments
Behavior
09/20/2016
aapc01
12/05/2018
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* guid
src_subject_id String 20 Required Subject ID how it's defined in lab/project record_id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY pp_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. age_a
sex String 20 Required Sex of subject at birth
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported gender, sex_a
version_form String 121 Required Form used/assessment name
Query respond Integer Recommended Respondent 1::7;999 1 = Parent; 2 = Teacher; 3=Self; 4= Other; 5= Significant other; 6 = Parent 1; 7 = Parent 2; 999 = Not available
Query respond_detail Integer Recommended Respondent detail 1::8;999 1 = Mother; 2 = Father; 3 = Other relative or custodial adult; 4 = Teacher or caregiver; 5 = Other specialist; 6 = Other; 7 = Child; 8= Spouse; 999 = Not available
Query visnum Float Recommended Numeric Visit Number -1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
Query aapcp_1 Integer Recommended 1. Fails to take class notes 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_1
Query aapcp_2 Integer Recommended 2. Receives poor grades on tests/quizzes 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_2
Query aapcp_3 Integer Recommended 3. Does not follow through on homework instructions 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_3
Query aapcp_4 Integer Recommended 4. Is disruptive in class 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_4
Query aapcp_5 Integer Recommended 5. Does not follow through on instructions given during class 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_5
Query aapcp_6 Integer Recommended 6. Arrives late for class 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_6
Query aapcp_7 Integer Recommended 7. Does not study for tests/quizzes 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_7
Query aapcp_8 Integer Recommended 8. Turns in work that was not completed thoroughly 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_8
Query aapcp_9 Integer Recommended 9. Has poorly organized folders or binders 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_9
Query aapcp_10 Integer Recommended 10. Forgets to bring appropriate materials to class 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_10
Query aapcp_11 Integer Recommended 11. Fails to turn in homework that he/she has already completed 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_11
Query aapcp_12 Integer Recommended 12. Fails to turn in assignments on time 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_12
Query aapcp_13 Integer Recommended 13. Actively refuses to complete work. 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_13
Query aapcp_14 Integer Recommended 14. Has difficulty organizing writing assignments 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_14
Query aapcp_15 Integer Recommended 15. Is noncompliant with adult requests 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_15
Query aapcp_16 Integer Recommended 16. Makes careless errors on work 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_16
Query aapcp_17 Integer Recommended 17. Fails to record homework assignments in a daily planner 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_17
Query aapcp_18 Integer Recommended 18. Fails to participate in class discussions 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_18
Query aapcp_19 Integer Recommended 19. Is off-task during school work 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_19
Query aapcp_20 Integer Recommended 20. Fails to raise hand before speaking in class 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_20
Query aapcp_21 Integer Recommended 21. Leaves longer-term projects until the last minute 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_21
Query aapcp_22 Integer Recommended 22. Skips class for unexcused reasons 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_22
Query aapcp_23 Integer Recommended 23. Poor time management 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_23
Query aapcp_24 Integer Recommended 24.Has difficulty getting started on assignments 0::3 0 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much aapct_24
Query aapc_ts Integer Required AAPC total score
tr_class String 100 Recommended In which class/subject do you teach this student:
Query aescode Integer Recommended Staff code number of person completing this form 999= Missing Data pi_staff
Query visit String 60 Recommended Visit name
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.