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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 fliter 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

  • 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.

  • 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.

  • 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.

Glossary

  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • 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. 

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ABCD Parent Pubertal Development Scale and Menstrual Cycle Survey History (PDMS)

11,878 Shared Subjects

Pubertal stage and menstrual phase (for postmenarcheal girls) - parent survey
Clinical Assessments
Phys Characteristics
12/04/2017
abcd_ppdms01
10/27/2020
View Change History
01
Definition
Submission Template
Query Element Name Data Type Size Required Condition 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 pds_select_language___1 Integer Recommended ¿Español? (1, Sí) 0 ; 1 0 = No; 1 = Yes pubertdev_select_language_p
Query pubertal_sex_p Integer Recommended What sex was your child assigned at birth? ¿Qué sexo le fue asignado a su niño(a) al nacer? 1 ; 2 1 = Male Masculino; 2 = Female Femenino pubertdev_sex_p
Query pds_1_p Integer Recommended Would you say that your child's growth in height: Con respecto a la estatura de su niño(a), ¿diría usted que...? 1 ; 2 ; 3 ; 4 ; 999 1 = has not yet begun to spurt Aún no ha empezado a crecer.; 2 = has barely started Apenas ha empezado a crecer.; 3 = is definitely underway Definitivamente está creciendo.; 4 = seems complete Parece haber terminado de crecer.; 999 = I don't know No sé pubertdev_1_p
Query pds_2_p Integer Recommended And how about the growth of your child's body hair ("body hair" means hair any place other than their head, such as under their arms)? Would you say that your child's body hair growth: ¿Y qué diría del crecimiento del vello corporal de su niño(a) ("vello corporal" se refiere al vello que crece en cualquier parte del cuerpo que no sea el pelo de la cabeza, como en las axilas)?¿Diría usted que el vello corporal de su niño(a)...? 1 ; 2 ; 3 ; 4 ; 999 1 = has not yet begun to grow Aún no le ha empezado a salir.; 2 = has barely started to grow Apenas le está empezando a salir.; 3 = is definitely underway Definitivamente ya le está saliendo.; 4 = seems complete Parece haber terminado de salir.; 999 = I don't know No sé pubertdev_2_p
Query pds_3_p Integer Recommended Have you noticed any changes to their skin, especially pimples? ¿Ha notado cambios en la piel de su niño(a), particularmente acné, granos o espinillas? 1 ; 2 ; 3 ; 4 ; 999 1 = skin has not yet started changing Su piel aún no ha empezado a mostrar cambios.; 2 = skin has barely started changing Su piel apenas ha empezado a mostrar cambios.; 3 = skin changes are definitely underway Definitivamente ya están ocurriendo cambios en su piel.; 4 = skin changes seem complete Parece haber terminado de cambiarle la piel.; 999 = I don't know No sé pubertdev_3_p
Query pds_m5_p Integer Recommended pubertal_sex_p == 1 Has he begun to grow hair on his face? ¿A su niño le ha empezado a crecer vello en la cara? 1 ; 2 ; 3 ; 4 ; 999 1 = facial hair has not yet started growing Aún no le ha empezado a salir vello facial.; 2 = facial hair has barely started growing Apenas le ha empezado a salir vello facial.; 3 = facial hair has definitely started Definitivamente ya le ha empezado a salir vello facial.; 4 = facial growth seems complete Ya parece haber terminado de salirle el vello facial.; 999 = I don't know No sé pubertdev_m5_p
Query pds_m4_p Integer Recommended pubertal_sex_p == 1 Have you noticed a deepening of his voice? ¿Ha notado que la voz de su niño se ha vuelto más profunda? 1 ; 2 ; 3 ; 4 ; 999 1 = voice has not yet started changing Su voz aún no ha empezado a cambiar.; 2 = voice has barely started changing Su voz apenas ha empezado a cambiar.; 3 = voice changes are definitely underway Definitivamente ya están ocurriendo cambios en su voz.; 4 = voice changes seem complete Parece haber terminado de cambiar su voz.; 999 = I don't know No sé pubertdev_m4_p
Query pds_f4_p Integer Recommended pubertal_sex_p == 2 Have you noticed that your child's breasts have begun to grow? ¿Ha notado que los senos de su niña han empezado a crecer? 1 ; 2 ; 3 ; 4 ; 999 1 = have not yet started growing Aún no le han empezado a crecer.; 2 = have barely started growing Apenas le han empezado a crecer.; 3 = breast growth is definitely underway Definitivamente ya le están creciendo los senos.; 4 = breast growth seems complete Sus senos ya parecen haber terminado de crecer.; 999 = I don't know No sé pubertdev_f4_p
Query pds_f5b_p Integer Recommended pubertal_sex_p == 2 Has your child begun to menstruate? 4 ; 1 ; 999 4 = Yes Sí; 1 = No No; 999 = I don't know No sé pubertdev_f5b_p
pds_f6_p String 30 Recommended pds_f5b_p == 4 && isNull(pds_f6_p_dk) How old were they when they started to menstruate? If you don't know, please choose "don't know" in what follows below Si no sabe, por favor escoja "no se" en lo que sigue abajo pubertdev_f6_p
Query pds_f6_p_dk Integer Recommended pds_f5b_p == 4 && isNull(pds_f6_p) How old were they when they started to menstruate? 999 999 = Don't know No lo sé pubertdev_f6_dk_p
menstrualcycle1_p String 30 Recommended pds_f5b_p == 4 What was the date of the first day of your child's last period? menstrual_1_p
menstrualcycle2_p String 30 Recommended pds_f5b_p == 4 && isNull(menstrualcycle2_p_dk) On average, how many days are there between the first day of their period and the first day of their next period? (e.g., 30 days) If you don't know, please choose "don't know" in what follows below Si no sabe, por favor escoja "no se" en lo que sigue abajo menstrual_2_p
Query menstrualcycle2_p_dk Integer Recommended pds_f5b_p == 4 && isNull(menstrualcycle2_p) On average, how many days are there between the first day of their period and the first day of their next period? (e.g., 30 days) 999 999 = Don't know No lo sé menstrual_2_p_dk
Query menstrualcycle3_p Integer Recommended pds_f5b_p == 4 Is your child's menstrual cycle regular? 1 ; 0 ; 999 1 = Yes Sí; 0 = No No; 999 = Don't know No sé menstrual_3_p
Query menstrualcycle4_p Integer Recommended pds_f5b_p == 4 Is your child currently using hormonal birth control (e.g. the pill, hormone patch, hormone injection)? 1 ; 0 ; 999 1 = Yes Sí; 0 = No No; 999 = Don't know No sé menstrual_4_p
Query menstrualcycle5_p Integer Recommended pds_f5b_p == 4 Do they experience premenstrual irritability, fatigue, tearfulness, etc., which start before their period and stop within a few days of bleeding? 1 ; 2 ; 3 ; 4 ; 999 1 = Not at all Para nada; 2 = Mild Leves; 3 = Moderate Moderados; 4 = Severe Graves; 999 = Don't know No sé menstrual_5_p
Query menstrualcycle6_p Integer Recommended pds_f5b_p == 4 Do their premenstrual symptoms interfere with their relationships with family and friends, productivity, and/or social life activities? 1 ; 2 ; 3 ; 4 ; 999 1 = Not at all Para nada; 2 = Mild Leves; 3 = Moderate Moderados; 4 = Severe Graves; 999 = Don't know No sé menstrual_6_p
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.