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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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Change History For

Wechsler Abbreviated Scale of Intelligence (WASI)

5,018 Shared Subjects

Wechsler Abbreviated Scale of Intelligence (WASI) published in 1999
Clinical Assessments
IQ
08/08/2011
wasi_199903
11/15/2021
View Data Structure
03
Element Name Change Description Before Now When
ss_matrixreasoningtscore2 VALUE_RANGE, VALUE_RANGE: 20 :: 80 VALUE_RANGE: 20 :: 80; 999 12/22/2021 13:51 PM
ss_vocabularytscore2 VALUE_RANGE, VALUE_RANGE: 20 :: 80 VALUE_RANGE: 20 :: 80; 999 12/22/2021 13:51 PM
custom_src_id NEW_MAP_ELEMENT Added data element 'custom_src_id' to data structure 'wasi_199903'. 11/15/2021 14:38 PM
custom_src_id NEW_DATA_ELEMENT 11/15/2021 14:21 PM
sex DESCRIPTION DESCRIPTION: Sex of the subject DESCRIPTION: Sex of subject at birth 07/09/2021 10:38 AM
ss_similaritiestscoreverbal4 NOTES, NOTES: NOTES: 999=missing 01/14/2021 15:05 PM
ss_blockdesigntscoreperf4 NOTES, NOTES: NOTES: 999=missing 01/14/2021 15:04 PM
ss_vocabularytscoreverbal4 NOTES, NOTES: NOTES: 999=missing 01/14/2021 15:04 PM
study DESCRIPTION DESCRIPTION: Study DESCRIPTION: Study; The code for each individual study 01/11/2021 08:51 AM
interview_date NOTES, NOTES: Required field NOTES: 01/08/2021 10:21 AM
bkgrnd_diag ELEMENT_SIZE, ELEMENT_SIZE: 255 ELEMENT_SIZE: 1020 09/22/2020 12:13 PM
visit ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 60 06/25/2020 10:25 AM
resp_source NEW_MAP_ELEMENT Added data element 'resp_source' to data structure 'wasi_199903'. 03/26/2020 14:47 PM
resp_source NEW_DATA_ELEMENT 03/23/2020 15:13 PM
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
wasiblockdes_12_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_13_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_10_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_11_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_7_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_8_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_9_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_3_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_4_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_5_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_6_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_12_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:33 PM
wasiblockdes_13_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:33 PM
wasiblockdes_1_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_2_correct_des NEW_TRANSLATION_RULE 2 = No 02/18/2020 15:33 PM
wasiblockdes_10_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_11_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_6_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_7_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_8_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_9_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_2_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_3_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_4_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_5_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
wasiblockdes_1_correct_des NEW_TRANSLATION_RULE 1 = Yes 02/18/2020 15:32 PM
bkgrnd_diag DESCRIPTION DESCRIPTION: Diagnosis DESCRIPTION: Diagnosis. Provided by parent 09/11/2019 15:06 PM
gender PERMANENTLY ALIASED gender sex 04/22/2019 00:00 AM
site ELEMENT_SIZE, ELEMENT_SIZE: 100 ELEMENT_SIZE: 101 01/30/2019 17:56 PM
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
visit NOTES, NOTES: Character description of each type of visit NOTES: 07/18/2018 13:11 PM
comment ELEMENT_SIZE, ELEMENT_SIZE: 255 ELEMENT_SIZE: 500 01/29/2018 11:55 AM
completed VALUE_RANGE, , NOTES, VALUE_RANGE: 0::2 NOTES: 0=No; 1=Yes; 2=Yes, lost VALUE_RANGE: 0::3 NOTES: 0=No; 1=Yes; 2=Yes, lost; 3=Unverified 01/26/2018 12:16 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
wasipart NEW_MAP_ELEMENT Added data element 'wasipart' to data structure 'wasi_199903'. 05/30/2017 11:40 AM
wasiqual NEW_MAP_ELEMENT Added data element 'wasiqual' to data structure 'wasi_199903'. 05/30/2017 11:40 AM
bkgrnd_diag NEW_MAP_ELEMENT Added data element 'bkgrnd_diag' to data structure 'wasi_199903'. 05/30/2017 11:39 AM
wasienv NEW_MAP_ELEMENT Added data element 'wasienv' to data structure 'wasi_199903'. 05/30/2017 11:39 AM
wasipart NEW_DATA_ELEMENT 05/30/2017 11:39 AM
wasiqual NEW_DATA_ELEMENT 05/30/2017 11:39 AM
wasienv NEW_DATA_ELEMENT 05/30/2017 11:39 AM
completed DESCRIPTION DESCRIPTION: Checks if form is completed DESCRIPTION: Checks if completed 04/11/2017 12:29 PM
completed VALUE_RANGE VALUE_RANGE: 0:2 VALUE_RANGE: 0::2 03/16/2017 17:11 PM
completed VALUE_RANGE, NOTES VALUE_RANGE: 0;1 NOTES: 0=No; 1=Yes VALUE_RANGE: 0:2 NOTES: 0=No; 1=Yes; 2=Yes, lost 03/16/2017 16:33 PM
comment NEW_MAP_ELEMENT Added data element 'comment' to data structure 'wasi_199903'. 01/10/2017 18:08 PM
matrix_1to4_s NEW_DATA_ELEMENT 01/10/2017 18:08 PM
matrix_1to4_s NEW_MAP_ELEMENT Added data element 'matrix_1to4_s' to data structure 'wasi_199903'. 01/10/2017 18:08 PM
visit_num NEW_MAP_ELEMENT Added data element 'visit_num' to data structure 'wasi_199903'. 01/10/2017 18:08 PM
vocab_1to8score NEW_DATA_ELEMENT 01/10/2017 18:08 PM
vocab_1to8score NEW_MAP_ELEMENT Added data element 'vocab_1to8score' to data structure 'wasi_199903'. 01/10/2017 18:08 PM
visit_num NEW_DATA_ELEMENT 01/10/2017 17:38 PM
grade_highed NOTES NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available; 11= High schoo;l 12= College or University; 13= Graduate school; 14= Other NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available; 11= High schoo;l 12= College or University; 13= Graduate school; 14= Other; 15 = Less than high school 10/07/2016 16:00 PM
grade_highed NOTES NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available; 11= High schoo;l 12= College or University; 13= Graduate school; 14= Other 09/19/2016 17:56 PM
gender VALUE_RANGE, NOTES VALUE_RANGE: M;F; T NOTES: M = Male; F = Female; T= Transgender VALUE_RANGE: M;F NOTES: M = Male; F = Female 05/25/2016 11:51 AM
gender DESCRIPTION DESCRIPTION: Gender DESCRIPTION: Sex of the subject 05/25/2016 11:50 AM
visit NEW_MAP_ELEMENT Added data element 'visit' to data structure 'wasi_199903'. 04/05/2016 16:11 PM
wasi_blocks NEW_MAP_ELEMENT Added data element 'wasi_blocks' to data structure 'wasi_199903'. 04/05/2016 16:11 PM
wasi_fsiq_iq2 NEW_MAP_ELEMENT Added data element 'wasi_fsiq_iq2' to data structure 'wasi_199903'. 04/05/2016 16:11 PM
wasi_fsiq_tscore NEW_MAP_ELEMENT Added data element 'wasi_fsiq_tscore' to data structure 'wasi_199903'. 04/05/2016 16:11 PM
wasi_matrxs NEW_MAP_ELEMENT Added data element 'wasi_matrxs' to data structure 'wasi_199903'. 04/05/2016 16:11 PM
wasi_blocks NEW_DATA_ELEMENT 04/05/2016 16:11 PM
wasi_fsiq_iq2 NEW_DATA_ELEMENT 04/05/2016 16:11 PM
wasi_fsiq_tscore NEW_DATA_ELEMENT 04/05/2016 16:11 PM
wasi_matrxs NEW_DATA_ELEMENT 04/05/2016 16:11 PM
wasi_vocs NEW_DATA_ELEMENT 04/05/2016 16:11 PM
wasi_vocs NEW_MAP_ELEMENT Added data element 'wasi_vocs' to data structure 'wasi_199903'. 04/05/2016 16:11 PM
grade_highed NOTES NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available 08/20/2015 15:30 PM
completed NEW_MAP_ELEMENT Added data element 'completed' to data structure 'wasi_199903'. 07/02/2015 12:27 PM
subject_description DESCRIPTION DESCRIPTION: Subject related information (e.g the affectation phenotype, disease information, etc.). DESCRIPTION: Subject related information (e.g the affection, phenotype, disease information, etc.). 06/23/2015 17:09 PM
interview_date DESCRIPTION DESCRIPTION: Date on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYY DESCRIPTION: Date on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYY 06/02/2015 17:40 PM
interview_date DESCRIPTION DESCRIPTION: Date on which the interview/genetic test/sampling/imaging was completed DESCRIPTION: Date on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYY 06/02/2015 17:40 PM
interview_age VALUE_RANGE VALUE_RANGE: 0 :: 1200 VALUE_RANGE: 0 :: 1260 06/01/2015 14:16 PM
comments_misc DESCRIPTION DESCRIPTION: Miscellaneous comments on study, interview, methodology relevant to this form data DESCRIPTION: Miscellaneous comments on study, interview, methodology relevant to this form data 05/29/2015 13:29 PM
site ELEMENT_SIZE ELEMENT_SIZE: 20 ELEMENT_SIZE: 100 05/26/2015 11:15 AM
week NOTES NOTES: NOTES: 99=week 10-week 14 05/19/2015 18:30 PM
week NEW_MAP_ELEMENT Added data element 'week' to data structure 'wasi_199903'. 05/08/2015 12:03 PM
study NEW_MAP_ELEMENT Added data element 'study' to data structure 'wasi_199903'. 04/30/2015 17:28 PM
site NEW_MAP_ELEMENT Added data element 'site' to data structure 'wasi_199903'. 04/30/2015 16:45 PM
subject_description NEW_MAP_ELEMENT Added data element 'subject_description' to data structure 'wasi_199903'. 04/30/2015 16:45 PM
study NOTES NOTES: CPEA or STAART Study NOTES: 04/13/2015 11:31 AM
comments_misc REQUIRED REQUIRED: Optional REQUIRED: Recommended 04/06/2015 14:17 PM
ss_blockdesigntscoreperf4 REQUIRED REQUIRED: Recommended REQUIRED: Required 03/09/2015 08:01 AM
ss_similaritiestscoreverbal4 REQUIRED REQUIRED: Recommended REQUIRED: Required 03/09/2015 08:01 AM
ss_vocabularytscoreverbal4 REQUIRED REQUIRED: Recommended REQUIRED: Required 03/09/2015 08:01 AM
ss_blockdesigntscoreperf4 VALUE_RANGE VALUE_RANGE: 20 :: 80 VALUE_RANGE: 20 :: 80;999 03/09/2015 07:27 AM
ss_similaritiestscoreverbal4 VALUE_RANGE VALUE_RANGE: 20 :: 80 VALUE_RANGE: 20 :: 80;999 03/09/2015 07:27 AM
ss_vocabularytscoreverbal4 VALUE_RANGE VALUE_RANGE: 20 :: 80 VALUE_RANGE: 20 :: 80;999 03/09/2015 07:27 AM
completed NEW_DATA_ELEMENT 02/13/2015 11:34 AM
src_subject_id DESCRIPTION DESCRIPTION: The site or study's subject identification DESCRIPTION: Subject ID how it's defined in lab/project 01/12/2015 18:22 PM
week DESCRIPTION DESCRIPTION: Week in level DESCRIPTION: Week in level/study 01/05/2015 11:19 AM
behavobs_language DESCRIPTION DESCRIPTION: Language DESCRIPTION: Language comments 12/17/2014 18:01 PM
behavobs_attention DESCRIPTION DESCRIPTION: Attention DESCRIPTION: Attention During Test 12/17/2014 18:00 PM
gender VALUE_RANGE, NOTES VALUE_RANGE: M;F NOTES: M = Male; F = Female VALUE_RANGE: M;F; T NOTES: M = Male; F = Female; T= Transgender 12/01/2014 12:34 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.

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