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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.

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Once you have selected data of interest you can:

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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.
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    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.
Switch User

ABCD Summary Scores Substance Use

0 Shared Subjects

Caffeine summary scores
Clinical Assessments
Substance Use
07/20/2018
abcd_suss01
05/14/2021
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
eventname String 60 Recommended The event name for which the data was collected
Query su_caff_ss_sum Float Recommended Sum of caff_intake_1, caff_intake_3, caff_intake_4, caff_intake_6 caff_intake_9
Query su_caff_ss_sum_nm Integer Recommended Sum of caff intake. Number of Missing Answers
Query su_caff_ss_sum_nt Integer Recommended Sum of caff intake: Number of Total Questions
Query su_caff_ss_sum_calc Float Recommended Sum of caff_intake_1, caff_intake_3, caff_intake_4, caff_intake_6 caff_intake_9 with "0" replacing blank when tlfb_caff = "0". When heard of caffeine was not endorsed, values for the sum of the five caffeine followup questions will be missing. Here, missing values for the caffeine summary scores have been replaced with "0".
Query su_caff_ss_sum_l Float Recommended Sum of caff_intake_1_l, caff_intake_3_l, caff_intake_4_l, caff_intake_6_l caff_intake_9_l; Followup Annual Visits
Query su_caff_ss_sum_l_nm Integer Recommended Sum of caff_intake : Number Missing Answers ; Followup Annual Visits
Query su_caff_ss_sum_l_nt Integer Recommended Sum of caff_intake Number Total Questions Followup Annual Visits
Query su_caff_ss_sum_calc_l Float Recommended Sum of caff_intake_1_l, caff_intake_3_l, caff_intake_4_l, caff_intake_6_l, caff_intake_9_l; 0 replaces blank when tlfb_caff = 0; Followup Annual Visits When heard of caffeine was not endorsed, values for the sum of the five caffeine followup questions will be missing. Here, missing values for the caffeine summary scores have been replaced with "0.
res_tobacco_total_chew_i Float Recommended Total intensity of positive and negative effects of first smokeless tobacco or chew use sum(res_tobacco_q17_l, res_tobacco_q18_l) su_subj_resp_tobacco_chew_total_l, su_subj_resp_tobacco_ss_chew_int
subj_resp_alc_total_first Float Recommended Number of subjective experiences from drinking alcohol during the first 5 drinking episodes Recode any response greater than 0 to 1; sum(subj_resp_alc_1a_05035c, subj_resp_alc_2a_09e4a7, subj_resp_alc_3a_f9590b, subj_resp_alc_4a_0fff0a) su_subj_resp_alcohol_first_total, su_subj_resp_alcohol_ss_first
subj_resp_alc_total_6mo Float Recommended Number of subjective experiences from drinking alcohol during in the past 6 months Recode any response greater than 0 to 1 sum(subj_resp_alc_1b_c49b04, subj_resp_alc_2b_1eda1e, subj_resp_alc_3b_673be8, subj_resp_alc_4b_d85033) su_subj_resp_alcohol_6mo_total, su_subj_resp_alcohol_ss_6mo
subj_resp_alc_total_heavy Float Recommended Number of subjective experiences from drinking alcohol during their heaviest drinking period Recode any response greater than 0 to 1; sum(subj_resp_alc_1c_1094b2, subj_resp_alc_2c_e373ab, subj_resp_alc_3c_a49455, subj_resp_alc_4c_2fbe55) su_subj_resp_alcohol_heavy_total, su_subj_resp_alcohol_ss_heavy
subj_resp_alc_total_first_i Float Recommended Number of subjective experiences from drinking alcohol during the first 5 drinking episodes Recode any response greater than 0 to 1; sum(subj_resp_alc_1a_I, subj_resp_alc_2a_I, subj_resp_alc_3a_I, subj_resp_alc_4a_I) su_subj_resp_alcohol_first_total_l, su_subj_resp_alcohol_ss_first_int
subj_resp_alc_total_6mo_i Float Recommended Number of subjective experiences from drinking alcohol during in the past 6 months Recode any response greater than 0 to 1; sum(subj_resp_alc_1b_I, subj_resp_alc_2b_I, subj_resp_alc_3b_I, subj_resp_alc_4b_I) su_subj_resp_alcohol_6mo_total_l, su_subj_resp_alcohol_ss_6mo_int
subj_resp_alc_total_heavy_i Float Recommended Number of subjective experiences from drinking alcohol during their heaviest drinking period Recode any response greater than 0 to 1; sum(subj_resp_alc_1c_I, subj_resp_alc_2c_I, subj_resp_alc_3c_I, subj_resp_alc_4c_I) su_subj_resp_alcohol_heavy_total_l, su_subj_resp_alcohol_ss_heavy_int
sub_res_mj_total Float Recommended total number and severity of subjective responses for first marijuana use episode sum(sub_res_mj_q01_ce7e66, sub_res_mj_q02_7e4ec7, sub_res_mj_q03_066715, sub_res_mj_q04_d2aac3, sub_res_mj_q05_b99418, sub_res_mj_q06_5ffdd9, sub_res_mj_q07_e6d97f, sub_res_mj_q08_1bc744, sub_res_mj_q09_2498f8, sub_res_mj_q10_44ac4a, sub_res_mj_q11_c062ca) su_subj_resp_mj_ss, su_subj_resp_mj_total
sub_res_mj_total_i Float Recommended total number and severity of subjective responses for first marijuana use episode sum(sub_res_mj_q01_I, sub_res_mj_q02_I, sub_res_mj_q03_I, sub_res_mj_q04_I, sub_res_mj_q05_I, sub_res_mj_q06_I, sub_res_mj_q07_I, sub_res_mj_q08_I, sub_res_mj_q09_I, sub_res_mj_q10_I, sub_res_mj_q11_I) su_subj_resp_mj_ss_int, su_subj_resp_mj_total_l
res_tobacco_total_cig Float Recommended Total intensity of positive and negative effects of first cigarette use sum(res_tobacco_q01_b4ef79, res_tobacco_q02_fcbb01) su_subj_resp_tobacco_cig_total, su_subj_resp_tobacco_ss_cig
res_tobacco_total_ecig Float Recommended Total intensity of positive and negative effects of first ENDs and/or hookah use sum(res_tobacco_q09_f99ddd, res_tobacco_q10_5e216c) su_subj_resp_tobacco_ecig_total, su_subj_resp_tobacco_ss_ecig
res_tobacco_total_chew Float Recommended Total intensity of positive and negative effects of first smokeless tobacco or chew use sum(res_tobacco_q17_d5609f, res_tobacco_q18_5e32d4) su_subj_resp_tobacco_chew_total, su_subj_resp_tobacco_ss_chew
res_tobacco_total_cig_i Float Recommended Total intensity of positive and negative effects of first cigarette use sum(res_tobacco_q01_l, res_tobacco_q02_l) su_subj_resp_tobacco_cig_total_l, su_subj_resp_tobacco_ss_cig_int
res_tobacco_total_ecig_i Float Recommended Total intensity of positive and negative effects of first ENDs and/or hookah use sum(res_tobacco_q09_l, res_tobacco_q10_l) su_subj_resp_tobacco_ecig_total_l, su_subj_resp_tobacco_ss_ecig_int
meeq_negative_expectancies_ss Float Recommended Strength of negative expectancies for marijuana. Score prorated if some item responses were missing. Sum of [meeq_section_q01, meeq_section_q05, meeq_section_q06]
ceq_positive_expectancies_ss Float Recommended Strength of positive expectancies for electronic nicotine delivery systems. Score prorated if some item responses were missing. Sum of [su_ceq_01, su_ceq_02, su_ceq_03, su_ceq_04]
ceq_negative_expectancies_ss Float Recommended Strength of negative expectancies for electronic nicotine delivery systems. Score prorated if some item responses were missing. Sum of [su_ceq_05, su_ceq_06, su_ceq_07, su_ceq_08]
hss_ss_sum Integer Recommended Sum number of Yes answers (Baseline) Sum number of Yes answers (Baseline)
hss_ss_sum_nm Integer Recommended HSS Sum number missing (Baseline) HSS Sum number missing (Baseline)
hss_ss_sum_nt Integer Recommended HSS Sum number total (Baseline) HSS Sum number total (Baseline)
hss_ss_wt_sum Integer Recommended Weighted scoring (Sum of scores (range 0-52). (Item is weighted by its frequency.) raw score totaled (Baseline) Weighted scoring (Sum of scores (range 0-52). (Item is weighted by its frequency.) raw score totaled (Baseline)
hss_ss_wt_sum_nm Integer Recommended HSS Weighted scoring number missing (Baseline) HSS Weighted scoring number missing (Baseline)
hss_ss_wt_sum_nt Integer Recommended HSS Weighted scoring number total (Baseline) HSS Weighted scoring number total (Baseline)
hss_ss_sum_l Integer Recommended Sum number of Yes answers (Followup Visits) Sum number of Yes answers (Followup Visits)
hss_ss_sum_nm_l Integer Recommended HSS Sum number missing (Followup Visits) HSS Sum number missing (Followup Visits)
hss_ss_sum_nt_l Integer Recommended HSS Sum number total (Followup Visits) HSS Sum number total (Followup Visits)
hss_ss_wt_sum_l Integer Recommended Weighted scoring (Sum of scores (range 0-52). (Item is weighted by its frequency.) raw score totaled (Followup Visits) Weighted scoring (Sum of scores (range 0-52). (Item is weighted by its frequency.) raw score totaled (Followup Visits)
hss_ss_wt_sum_nm_l Integer Recommended HSS Sum and Weighted scoring number missing (Followup Visits) HSS Sum and Weighted scoring number missing (Followup Visits)
hss_ss_wt_sum_nt_l Integer Recommended HSS Weighted scoring number total (Followup Visits) HSS Weighted scoring number total (Followup Visits)
aeq_positive_expectancies_nm Float Recommended Number of items with missing values Number of items with missing values
aeq_positive_expectancies_nt Float Recommended Total number of items Total number of items
aeq_negative_expectancies_nm Float Recommended Number of items with missing values Number of items with missing values
aeq_negative_expectancies_nt Float Recommended Total number of items Total number of items
ascq_positive_expectanciesv1nm Float Recommended Number of items with missing values Number of items with missing values ascq_positive_expectancies_v1_nm
aeq_positive_expectancies_ss Float Recommended Strength of positive expectancies for alcohol. Score prorated if some item responses were missing. Sum of [aeq_section_q01, aeq_section_q02, aeq_section_q06]
ascq_positive_expectanciesv1nt Float Recommended Total number of items Total number of items ascq_positive_expectancies_v1_nt
ascq_negative_expectanciesv1nm Float Recommended Number of items with missing values Number of items with missing values ascq_negative_expectancies_v1_nm
ascq_negative_expectanciesv1nt Float Recommended Total number of items Total number of items ascq_negative_expectancies_v1_nt
ascq_positive_expectanciesv2nm Float Recommended Number of items with missing values Number of items with missing values ascq_positive_expectancies_v2_nm
ascq_positive_expectanciesv2nt Float Recommended Total number of items Total number of items ascq_positive_expectancies_v2_nt
ascq_negative_expectanciesv2nm Float Recommended Number of items with missing values Number of items with missing values ascq_negative_expectancies_v2_nm
ascq_negative_expectanciesv2nt Float Recommended Total number of items Total number of items ascq_negative_expectancies_v2_nt
meeq_positive_expectancies_nm Float Recommended Number of items with missing values Number of items with missing values
meeq_positive_expectancies_nt Float Recommended Total number of items Total number of items
meeq_negative_expectancies_nm Float Recommended Number of items with missing values Number of items with missing values
aeq_negative_expectancies_ss Float Recommended Strength of negative expectancies for alcohol. Score prorated if some item responses were missing. Sum of [aeq_section_q03, aeq_section_q05, aeq_section_q07]
meeq_negative_expectancies_nt Float Recommended Total number of items Total number of items
ceq_positive_expectancies_nm Float Recommended Number of items with missing values Number of items with missing values
ceq_positive_expectancies_nt Float Recommended Total number of items Total number of items
ceq_negative_expectancies_nm Float Recommended Number of items with missing values Number of items with missing values
ceq_negative_expectancies_nt Float Recommended Total number of items Total number of items
ascq_positive_expectanciesv1ss Float Recommended Strength of positive expectancies for tobacco/smoking. Score prorated if some item responses were missing. Sum of [ascq_section_q01_R1, ascq_section_q02_R1, ascq_section_q03_R1, ascq_section_q04_R1] ascq_positive_expectancies_v1_ss
ascq_negative_expectanciesv1ss Float Recommended Strength of negative expectancies for tobacco/smoking. Score prorated if some item responses were missing. Sum of [ascq05_R1, ascq06_R1] ascq_negative_expectancies_v1_ss
ascq_positive_expectanciesv2ss Float Recommended Strength of positive expectancies for tobacco/smoking. Score prorated if some item responses were missing. NOTE: response values of ''uncertain'' were recoded to the lowest response option, ''never'', for computing this score. Sum of [ascq_section_q01_R2, ascq_section_q02_R2, ascq_section_q03_R2, ascq_section_q04_R2] ascq_positive_expectancies_v2_ss
ascq_negative_expectanciesv2ss Float Recommended Strength of negative expectancies for tobacco/smoking. Score prorated if some item responses were missing. NOTE: response values of ''uncertain'' were recoded to the lowest response option, ''never'', for computing this score. Sum of [ascq05_R2, ascq06_R2] ascq_negative_expectancies_v2_ss
meeq_positive_expectancies_ss Float Recommended Strength of positive expectancies for marijuana. Score prorated if some item responses were missing. Sum of [meeq_section_q02, meeq_section_q03, meeq_section_q04]
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

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