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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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Change History For

Auditory Hallucinations Rating Scale

131 Shared Subjects

N/A
Clinical Assessments
Hallucinations
06/07/2016
ahrs01
11/28/2023
View Data Structure
01
Definition
Submission Template
Element Name Change Description Before Now When
ahrs_11alt NEW_MAP_ELEMENT Added data element 'ahrs_11alt' to data structure 'ahrs01'. 11/28/2023 09:15 AM
ahrs_11alt NEW_DATA_ELEMENT 11/28/2023 09:15 AM
sex DESCRIPTION DESCRIPTION: Sex of the subject DESCRIPTION: Sex of subject at birth 07/09/2021 10:38 AM
interview_date NOTES, NOTES: Required field NOTES: 01/08/2021 10:21 AM
time_point NOTES, NOTES: 1=Baseline (STARD); 2=Level exit (STARD); 3= Quarterly follow up (STARD);5= Screening; 10= Baseline; 21, 22, 23 = Mid-point 1, 2, 3; 30= End-of-treatment; 41, 42, 43= Follow-up1, 2, 3 etc. NOTES: 1=Baseline (STARD); 2=Level exit (STARD); 3= Quarterly follow up (STARD);5= Screening; 10= Baseline; 21, 22, 23 = Mid-point 1, 2, 3; 30= End-of-treatment; 41, 42, 43= Follow-up1, 2, 3 etc.; 601 = 6 Month Reassessment ; 602 = 12 Month Reassessment ; 603 = 18 Month Reassessment 09/11/2020 10:17 AM
sex VALUE_RANGE, , NOTES, VALUE_RANGE: M;F NOTES: M = Male; F = Female VALUE_RANGE: M;F; O; NR NOTES: M = Male; F = Female; O=Other; NR = Not reported 02/21/2020 13:02 PM
ahrs2 NEW_MAP_ELEMENT Added data element 'ahrs2' to data structure 'ahrs01'. 01/13/2020 13:43 PM
ahrs3 NEW_MAP_ELEMENT Added data element 'ahrs3' to data structure 'ahrs01'. 01/13/2020 13:43 PM
ahrs5 NEW_MAP_ELEMENT Added data element 'ahrs5' to data structure 'ahrs01'. 01/13/2020 13:43 PM
ahrs6 NEW_MAP_ELEMENT Added data element 'ahrs6' to data structure 'ahrs01'. 01/13/2020 13:43 PM
ahrs1 NEW_MAP_ELEMENT Added data element 'ahrs1' to data structure 'ahrs01'. 01/13/2020 13:43 PM
ahrs1 NEW_DATA_ELEMENT 01/13/2020 13:43 PM
ahrs2 NEW_DATA_ELEMENT 01/13/2020 13:43 PM
ahrs3 NEW_DATA_ELEMENT 01/13/2020 13:43 PM
ahrs5 NEW_DATA_ELEMENT 01/13/2020 13:43 PM
ahrs6 NEW_DATA_ELEMENT 01/13/2020 13:43 PM
time_point NOTES, NOTES: 5= Screening; 10= Baseline; 21, 22, 23 = Mid-point 1, 2, 3; 30= End-of-treatment; 41, 42, 43= Follow-up1, 2, 3 etc. NOTES: 1=Baseline (STARD); 2=Level exit (STARD); 3= Quarterly follow up (STARD);5= Screening; 10= Baseline; 21, 22, 23 = Mid-point 1, 2, 3; 30= End-of-treatment; 41, 42, 43= Follow-up1, 2, 3 etc. 05/02/2019 16:09 PM
gender PERMANENTLY ALIASED gender sex 04/22/2019 00:00 AM
gender DESCRIPTION DESCRIPTION: Sex of the subject DESCRIPTION: Sex of the subject 08/22/2018 10:43 AM
gender DESCRIPTION DESCRIPTION: Block Brief 2000: Sex of the subject DESCRIPTION: Sex of the subject 08/20/2018 10:21 AM
gender DESCRIPTION DESCRIPTION: Sex of the subject DESCRIPTION: Block Brief 2000: Sex of the subject 08/14/2018 16:18 PM
interview_date DESCRIPTION DESCRIPTION: Date on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYY DESCRIPTION: Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY 08/28/2017 15:10 PM
days_baseline NEW_MAP_ELEMENT Added data element 'days_baseline' to data structure 'ahrs01'. 06/27/2016 10:40 AM
study_condition NEW_MAP_ELEMENT Added data element 'study_condition' to data structure 'ahrs01'. 06/27/2016 10:40 AM
time_point NEW_MAP_ELEMENT Added data element 'time_point' to data structure 'ahrs01'. 06/27/2016 10:40 AM
time_point NOTES NOTES: "5= Screening; 10= Baseline; 21, 22, 23 = Mid-point 1, 2, 3; 30= End-of-treatment; 41, 42, 43= Follow-up1, 2, 3 etc." NOTES: 5= Screening; 10= Baseline; 21, 22, 23 = Mid-point 1, 2, 3; 30= End-of-treatment; 41, 42, 43= Follow-up1, 2, 3 etc. 06/27/2016 10:38 AM
ahrs_5 DESCRIPTION DESCRIPTION: Location. When you hear your voices where do they sound like they re coming from? - inside your head and/or outside your head? - If voices sound like they are outside your head, whereabouts do they sound like they�re coming from? DESCRIPTION: Location. When you hear your voices where do they sound like they're coming from? - inside your head and/or outside your head? - If voices sound like they are outside your head, whereabouts do they sound like they're coming from? 06/08/2016 16:40 PM
ahrs_5 DESCRIPTION DESCRIPTION: Location. When you hear your voices where do they sound like they're coming from? - inside your head and/or outside your head? - If voices sound like they are outside your head, whereabouts do they sound like they�re coming from? DESCRIPTION: Location. When you hear your voices where do they sound like they re coming from? - inside your head and/or outside your head? - If voices sound like they are outside your head, whereabouts do they sound like they�re coming from? 06/08/2016 16:39 PM
Data Structure Change History

This page displays a list of all the changes that have been made to this data structure since its original definition. You can view the element name, the attribute that was changed, previous and subsequent values, and the timestamp of the change. Use the search bar to filter the displayed changes.

Please email the The NDA Help Desk with any questions.