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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 Pre-assessment Parent Survey for Fitbit Protocol

6,571 Shared Subjects

Pre-assessment parent survey for Fitbit protocol
Clinical Assessments
Questionnaire
04/08/2020
abcd_fbprp01
10/27/2020
View Change History
01
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
fitpr_select_language Integer Recommended ¿Español? 0 ; 1 0 = No; 1 = Yes fitbit_pre_select_language, fitpr_select_language___1
fitpr_physical_p Integer Recommended fitbit_assent == 1 && fitbit_permission == 1 In your opinion compared to other kids your child's age how much physical activity does your child engage in? / En su opinión en comparación con otros niños(as) de la edad de su hijo/a ¿cuánta actividad física realiza su hijo/a? 1 :: 5 1= Much less / Mucho menos; 2 = A little less / Un poco menos; 3 =About the same / Más o menos la misma; 4= A little more / Un poco más; 5 =Much more / Mucho más fitbit_pre_physical_p
fitpr_physical_health_p Integer Recommended fitbit_assent == 1 && fitbit_permission == 1 In your opinion do you think the amount of physical activity your child does is healthy? / En su opinión ¿cree usted que la cantidad de actividad física que su hijo/a hace es saludable? 1 ; 0 1=Yes /Si; 0 = No / No fitbit_pre_physical_health_p
fitpr_sedentary_p Integer Recommended fitbit_assent == 1 && fitbit_permission == 1 In your opinion compared to other kids your child's age how many sedentary behaviors does your child engage in? / En su opinión en comparación con otros niños de la edad de su hijo/a ¿en cuántas conductas sedentarias participa su hijo/a? 1 :: 5 1= Much less / Mucho menos; 2 = A little less / Un poco menos; 3 =About the same / Más o menos la misma; 4= A little more / Un poco más; 5 =Much more / Mucho más fitbit_pre_sedentary_p
fitpr_sedentary_health_p Integer Recommended fitbit_assent == 1 && fitbit_permission == 1 In your opinion do you think the amount of sedentary behaviors your child engages in is healthy? / En su opinión ¿cree usted que la cantidad de conductas sedentarias en las que su hijo/a participa es saludable? 1 ; 0 1=Yes /Si; 0 = No / No fitbit_pre_sedentary_health_p
fitpr_worn_tracker_p Integer Recommended fitbit_assent == 1 && fitbit_permission == 1 Has your child ever worn a Fitbit or other activity tracker? / ¿Alguna vez su hijo/a ha usado un Fitbit u otro dispositivo de seguimiento de actividades? 1 ; 0 1=Yes /Si; 0 = No / No fitbit_pre_worn_tracker_p
fitpr_consistent_p Integer Recommended fitpr_worn_tracker_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 Did s/he wear it consistently? / ¿Lo usó constantemente? 1 ; 0 1=Yes /Si; 0 = No / No fitbit_pre_consistent_p
fitpr_remove_amt_p Integer Recommended fitpr_worn_tracker_p == 1 && How often did he/she have to remove it? / ¿Con qué frecuencia tenía que quitárselo? 1 :: 4 1= Often / Con frecuencia; 2 Sometimes / A veces; 3 Infrequently / Con poca frecuencia; 4 Never / Nunca fitbit_pre_remove_amt_p
fitpr_sports_p String 250 Recommended fitpr_remove_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 Please clarify which sports: / Aclare qué deportes: fitbit_pre_sports_p
fitpr_other_p String 250 Recommended fitpr_remove_p == 1 && If Other please describe: / Si es otro descríbalo: fitbit_pre_other_p
fitpr_check_amt_p Integer Recommended fitpr_worn_tracker_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 How often did s/he check the activity tracker throughout the day (while awake)? / ¿Con qué frecuencia revisaba el rastreador de actividades durante el día (mientras estaba despierto/a)? 1 :: 4 1= Several time per day / Varias veces al día; 2 =About once per day / Aproximadamente una vez al día; 3 = Several time per week / Varias veces a la semana; 4= About once per week / Aproximadamente una vez a la semana fitbit_pre_check_amt_p
fitpr_change_p Integer Recommended fitpr_worn_tracker_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 Has s/he changed her activity based on the Information from the tracker? / ¿El/ella ha modificado su actividad según la Información del dispositivo de seguimiento? 1 ; 0 1=Yes /Si; 0 = No / No fitbit_pre_change_p
fitpr_remove_p___1 Integer Recommended fitpr_worn_tracker_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 When did s/he take it off (during what activities)? Shower/Bath 1;0 1 =Yes; 0= No fitbit_pre_remove___1_p
fitpr_remove_p___2 Integer Recommended fitpr_worn_tracker_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 When did s/he take it off (during what activities)? Sports 1;0 1 =Yes; 0= No fitbit_pre_remove___2_p
fitpr_remove_p___3 Integer Recommended fitpr_worn_tracker_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 When did s/he take it off (during what activities)? Swimming 1;0 1 =Yes; 0= No fitbit_pre_remove___3_p
fitpr_remove_p___4 Integer Recommended fitpr_worn_tracker_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 When did s/he take it off (during what activities)? Sleep 1;0 1 =Yes; 0= No fitbit_pre_remove___4_p
fitpr_remove_p___5 Integer Recommended fitpr_worn_tracker_p == 1 && fitbit_assent == 1 && fitbit_permission == 1 When did s/he take it off (during what activities)? Others 1;0 1 =Yes; 0= No fitbit_pre_remove___5_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.