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Filter Cart
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Data Structures with shared data
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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.

Retrospective Measure of Behavioral Inhibition

463 Shared Subjects

N/A
Clinical Assessments
Social Adjustment
02/16/2017
rmbi01
12/07/2018
View Change History
01
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
Query rmbi1 Integer Recommended When unfamiliar visitors came to your home, would you/your child hide or leave the room? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr1_i
Query rmbi2 Integer Recommended At school, did you/your child tend to stand back and watch other children play? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr2_i
Query rmbi3 Integer Recommended Were you/your child reluctant to go to school on your first day or the first day after holidays? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr3_i
Query rmbi4 Integer Recommended Did you/your child prefer parties with crowds of children rather than small gatherings? 0::3;999 3 = no/hardly ever; 2 = some of the time; 1 = yes/most of the time; 0 = do not remember at all; 999 = missing data rmbi_pr4_i
Query rmbi5 Integer Recommended Were you/your child always "on the go"? 0::3;999 3 = no/hardly ever; 2 = some of the time; 1 = yes/most of the time; 0 = do not remember at all; 999 = missing data rmbi_pr5_i
Query rmbi6 Integer Recommended When unfamiliar visitors came to your home, did you/your child feel fearful or nervy? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr6_i
Query rmbi7 Integer Recommended When you/your child went on outings with your family to new places, would you/your child tend to wander off? 0::3;999 3 = no/hardly ever; 2 = some of the time; 1 = yes/most of the time; 0 = do not remember at all; 999 = missing data rmbi_pr7_i
Query rmbi8 Integer Recommended Were you/your child fearful around other people's pets? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr8_i
Query rmbi9 Integer Recommended At school, did you/your child find it difficult to approach and play with new children? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr9_i
Query rmbi10 Integer Recommended When you/your child went on outings with your family to new places, would you/your child spend most of the time next to your mother or father (or caregiver)? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr10_i
Query rmbi11 Integer Recommended Did you/your child want to be surrounded by people and activity? 0::3;999 3 = no/hardly ever; 2 = some of the time; 1 = yes/most of the time; 0 = do not remember at all; 999 = missing data rmbi_pr11_i
Query rmbi12 Integer Recommended Do you/your child consider that you/your child were a shy child? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr12_i
Query rmbi13 Integer Recommended Did you/your child tend to take risks during play, sport or other physical activities? 0::3;999 3 = no/hardly ever; 2 = some of the time; 1 = yes/most of the time; 0 = do not remember at all; 999 = missing data rmbi_pr13_i
Query rmbi14 Integer Recommended Was it difficult for you/your child to stand up in front of the class? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr14_i
Query rmbi15 Integer Recommended Were you/your child outgoing and talkative with other children? 0::3;999 3 = no/hardly ever; 2 = some of the time; 1 = yes/most of the time; 0 = do not remember at all; 999 = missing data rmbi_pr15_i
Query rmbi16 Integer Recommended When you/your child went on outings with your family to new places, would you/your child become quiet or "freeze up"? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr16_i
Query rmbi17 Integer Recommended Did you/your child cry during the school day? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr17_i
Query rmbi18 Integer Recommended When unfamiliar visitors came to your home, would you/your child cling to your mother or father (or caregiver)? 0::3;999 0 = no/hardly ever; 1 = some of the time; 2 = yes/most of the time; 3 = do not remember at all; 999 = missing data rmbi_pr18_i
Query rmbi_fi Integer Recommended RMBI Fearful inhibition scale 2, 4, 5, 9, 11, 15
Query rmbi_na Integer Recommended RMBI Non approach scale 1, 6, 10, 16, 18
Query rmbi_ra Integer Recommended RMBI Risk avoidance scale 7, 8, 13.
Query rmbi_ss Integer Recommended RMBI Shyness and sensitivity scale 3, 12, 14, 17
Query rmbi_total Integer Recommended RMBI Total score
version_form String 121 Recommended Form used/assessment name
Query visit String 60 Recommended Visit name
respondent String 20 Recommended Respondent Mother;Father;Parent;Guardian;Teacher;Child;Self;Caregiver;Partner;Other
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.