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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.

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  • 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.
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  • 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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ABCD Sum Scores Culture & Environment Youth

11,877 Shared Subjects

Culture and environment summary scores - youth surveys
Clinical Assessments
Social Adjustment
12/04/2017
abcd_sscey01
05/20/2021
View Change History
01
Definition
Submission Template
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 Required The event name for which the data was collected
Query pmq_y_ss_mean Float Recommended Parental Monitoring: Mean (parent_monitor_q1_y + parent_monitor_q2_y + parent_monitor_q3_y + parent_monitor_q4_y parent_monitor_q5_y)/5; Validation: no minimum number of answers Karoly, H. C., Callahan, T., et al. (2016) Evaluating the hispanic paradox in the context of adolescent risky sexual behavior: the role of parent monitoring. J Pediatr Psychol 41(4): 429-40. parental_monitoring_ss_mean
Query pmq_y_ss_mean_nm Integer Recommended Parental Monitoring, Mean: Number Missing Answers parental_monitoring_ss_mean_nm
Query pmq_y_ss_mean_nt Integer Recommended Parental Monitoring, Mean: Number Total Questions parental_monitoring_ss_mean_nt
Query fes_y_ss_fc Integer Recommended Conflict Subscale from the Family Environment Scale Sum of Youth Report (RAW Score): fes_youth_q1 + fes_youth_q2 + fes_youth_q3 + fes_youth_q4 + fes_youth_q5 + fes_youth_q6 + fes_youth_q7 + fes_youth_q8 + fes_youth_q9; Validation: Minimum of five items answered Note that the scores for items that are reversed scored already reflect this scoring (fes_youth_q1, fes_youth_q4, fes_youth_q7, fes_youth_q9). Moos, R. H., and Moos, B. S. (1994) Family Environment Scale manual (3rd ed.). Palo Alto, CA: Consulting Psychologists Press. fes_ss_fc
Query fes_y_ss_fc_nm Integer Recommended Conflict Subscale from the Family Environment Scale, Sum of Youth Report: Number Missing Answers fes_ss_fc_nm
Query fes_y_ss_fc_nt Integer Recommended Conflict Subscale from the Family Environment Scale, Sum of Youth Report: Number Total Questions fes_ss_fc_nt
Query fes_y_ss_fc_na Integer Recommended Conflict Subscale from the Family Environment Scale, Sum of Youth Report: Number Answered fes_ss_fc_na
Query fes_y_ss_fc_pr Float Recommended Conflict Subscale from the Family Environment Scale, Sum of Youth Report: Prorated Score (Based on minimum of five items answered): [fes_y_ss_fc]*[fes_y_ss_fc_nt] /[fes_y_ss_fc_na] fes_ss_fc_pr
Query psb_y_ss_mean Float Recommended Prosocial Behavior Subscale Mean of Youth Self Report: (prosocial_q1_y + prosocial_q2_y + prosocial_q3_y)/3; Validation:Minimum of two items answered Goodman, R. (1997) The Strengths and Difficulties Questionnaire: a research note. J Child Psychol Psychiatry 38(5):581-6; Goodman, R., Meltzer, H., & Bailey V. (1998) The Strengths and Difficulties Questionnaire: A pilot study of the validity of the self-report version. European Child and Adolescent Psychiatry 7: 125–130. prosocial_ss_mean
Query psb_y_ss_answered Integer Recommended Prosocial Behavior Subscale, Mean of Youth Self Report: Number Answered prosocial_ss_answered
Query psb_y_ss_mean_nm Integer Recommended Prosocial Behavior Subscale, Mean of Youth Self Report: Number Missing Answers prosocial_ss_mean_nm
Query psb_y_ss_mean_nt Integer Recommended Prosocial Behavior Subscale, Mean of Youth Self Report: Number Total Questions prosocial_ss_mean_nt
Query crpbi_y_ss_parent Float Recommended CRPBI - Acceptance Subscale Mean of Report by Parent Completing Protocol by youth: (crpbi_parent1_y + crpbi_parent2_y + crpbi_parent3_y], crpbi_parent4_y + crpbi_parent5_y)/5; Validation: Minimum of 4 items answered Schaefer, E. S. (1965) Children's reports of parental behavior: an inventory. Child Dev 36: 413-24; Barber, B. K., Olsen, J. E., et al. (1994) Associations between parental psychological and behavioral control and youth internalized and externalized behaviors. Child Dev 65(4): 1120-36; Schludermann, E. H., Schludermann, S. M. (1988). Children’s report on parent behavior (CRPBI-108, CRPBI-30) for older children and adolescents (Tech. Rep.). Winnipeg, Manitoba, Canada: University of Manitoba, Department of: Psychology; Barber, B. K., and Olsen, J. (1997) Socialization in context: Connection, regulation, and autonomy in the family, school, and neighborhood and with peers. Journal of Adolescent Research, 12(2): 287-315. crpbi_acceptance_ss_studycaregiver, crpbi_ss_studycaregiver
Query crpbi_y_ss_parent_nm Integer Recommended CRPBI - Acceptance Subscale, Mean of Report by Parent Completing Protocol by youth: Number Missing Answers crpbi_acceptance_ss_studycaregiver_nm, crpbi_ss_studycaregiver_nm
Query crpbi_y_ss_parent_nt Integer Recommended CRPBI - Acceptance Subscale, Mean of Report by Parent Completing Protocol by youth: Number Total Questions crpbi_acceptance_ss_studycaregiver_nt, crpbi_ss_studycaregiver_nt
Query crpbi_y_ss_caregiver Float Recommended CRPBI - Acceptance Subscale Mean of Report by Secondary Caregiver by youth: (crpbi_caregiver12_y + crpbi_caregiver13_y + crpbi_caregiver14_y + crpbi_caregiver15_y + crpbi_caregiver16_y)/5; Validation: Minimum of four items answered Schaefer, E. S. (1965) Children's reports of parental behavior: an inventory. Child Dev 36: 413-24; Barber, B. K., Olsen, J. E., et al. (1994) Associations between parental psychological and behavioral control and youth internalized and externalized behaviors. Child Dev 65(4): 1120-36; Schludermann, E. H., Schludermann, S. M. (1988). Children’s report on parent behavior (CRPBI-108, CRPBI-30) for older children and adolescents (Tech. Rep.). Winnipeg, Manitoba, Canada: University of Manitoba, Department of: Psychology; Barber, B. K., and Olsen, J. (1997) Socialization in context: Connection, regulation, and autonomy in the family, school, and neighborhood and with peers. Journal of Adolescent Research, 12(2): 287-315. crpbi_acceptance_ss_caregiver
Query crpbi_y_ss_caregiver_nm Integer Recommended CRPBI - Acceptance Subscale, Mean of Report by Secondary Caregiver by youth: Number Missing Answers crpbi_acceptance_ss_caregiver_nm
Query crpbi_y_ss_caregiver_nt Integer Recommended CRPBI - Acceptance Subscale, Mean of Report by Secondary Caregiver by youth: Number Total Questions crpbi_acceptance_ss_caregiver_nt
Query srpf_y_ss_ses Integer Recommended SRPF School Environment Subscale, Sum: school_2_y + school_3_y + school_4_y + school_5_y + school_6_y + school_7_y; Validation: Minimum of five items answered Arthur, M. W., Briney, J. S., et al. (2007) Measuring risk and protection in communities using the Communities That Care Youth Survey. Eval Program Plann 30(2): 197-211. school_risk_phenx_ss_ses
Query srpf_y_ss_ses_nm Integer Recommended SRPF School Environment Subscale, Sum: Number Missing Answers school_risk_phenx_ss_ses_nm
Query srpf_y_ss_ses_nt Integer Recommended SRPF School Environment Subscale, Sum: Number Total Questions school_risk_phenx_ss_ses_nt
Query srpf_y_ss_iiss Integer Recommended SRPF School Involvement Subscale, Sum: school_8_y + school_9_y + school_10_y + school_12_y; Validation: Minimum of three items answered Arthur, M. W., Briney, J. S., et al. (2007) Measuring risk and protection in communities using the Communities That Care Youth Survey. Eval Program Plann 30(2): 197-211. school_risk_phenx_ss_iiss
Query srpf_y_ss_iiss_nm Integer Recommended SRPF School Involvement Subscale, Sum: Number Missing Answers school_risk_phenx_ss_iiss_nm
Query srpf_y_ss_iiss_nt Integer Recommended SRPF School Involvement Subscale, Sum: Number Total Questions school_risk_phenx_ss_iiss_nt
Query srpf_y_ss_dfs Integer Recommended SRPF School Disengagement Subscale, Sum: school_15_y + school_17_y; Validation: All items must be answered Arthur, M. W., Briney, J. S., et al. (2007) Measuring risk and protection in communities using the Communities That Care Youth Survey. Eval Program Plann 30(2): 197-211. school_risk_phenx_ss_dfs
Query srpf_y_ss_dfs_nm Integer Recommended SRPF School Disengagement Subscale, Sum: Number Missing Answers school_risk_phenx_ss_dfs_nm
Query srpf_y_ss_dfs_nt Integer Recommended SRPF School Disengagement Subscale, Sum: Number Total Questions school_risk_phenx_ss_dfs_nt
Query wps_ss_sum Integer Recommended WPS SumSum[wps_q1_y. wps_q2_y. wps_q3_y,wps_q4_y, wps_q5_y, wps_q6_y]Validation: Minimum of 4 items answered (4 answers other than not applicable = 0)
Query wps_ss_sum_nm Integer Recommended WPS Number Missing Answers
Query wps_ss_sum_nt Integer Recommended WPS Number Total Questions
Query dim_y_ss_mean Float Recommended Discrimination Measure mean(dim_matrix_q1,dim_matrix_q2,dim_matrix_q3,dim_matrix_q4,dim_matrix_q5,dim_matrix_q6,dim_matrix_q7); Only add if value 1 - 5; Validation: Minimum of four items must be answered discrimination_ss_mean
Query dim_y_ss_mean_nm Integer Recommended Discrimination Measure mean: Number Missing Answers discrimination_ss_mean_nm
Query dim_y_ss_mean_nt Integer Recommended Discrimination Measure mean: Number Total Questions discrimination_ss_mean_nt
macv_y_ss_fr_nm Integer Recommended Family Referrent Number Missing macvs_ss_fr_nm
macv_y_ss_fr_nt Integer Recommended Family Referrent Number Total macvs_ss_fr_nt
macv_y_ss_fs Float Recommended Family Support Sum Score mean([macv_q2], [macv_q7], [macv_q12], [macv_q16], [macv_q21], [macv_q26]) Validation: All items must be answered macvs_ss_fs
macv_y_ss_fs_nm Integer Recommended Family Support Number Missing macvs_ss_fs_nm
macv_y_ss_fs_nt Integer Recommended Family Support Number Total macvs_ss_fs_nt
pbp_ss_prosocial_peers Float Recommended Involvement with Prosocial Peers sum(pbp_athletes, pbp_church, pbp_good_student) Validation: Minimum of two items must be answered peer_behav_ss_prosocial_peers
pbp_ss_prosocial_peers_nm Integer Recommended Involvement with Prosocial Peers Missing peer_behav_ss_prosocial_peers_nm
pbp_ss_prosocial_peers_nt Integer Recommended Involvement with Prosocial Peers Total peer_behav_ss_prosocial_peers_nt
pbp_ss_rule_break Float Recommended Involvement with Rule Breaking/Delinquent Peers sum(pbp_skip_school, pbp_suspended, pbp_shop_lifted) Validation: Minimum of two items must be answered peer_behav_ss_rule_break
pbp_ss_rule_break_nm Integer Recommended Involvement with Rule Breaking/Delinquent Peers Missing peer_behav_ss_rule_break_nm
pbp_ss_rule_break_nt Integer Recommended Involvement with Rule Breaking/Delinquent Peers Total peer_behav_ss_rule_break_nt
macv_y_ss_fo Float Recommended Family Obligation mean([macv_q3], [macv_q8], [macv_q13], [macv_q17], [macv_q22]) Validation: All questions must be answered macvs_ss_fo
macv_y_ss_fo_nm Integer Recommended Family Obligation Number Missing macvs_ss_fo_nm
macv_y_ss_fo_nt Integer Recommended Family Obligation Number Total macvs_ss_fo_nt
macv_y_ss_fr Float Recommended Family Referrent Sum Score mean[macv_q4], [macv_q9], [macv_q18], [macv_q23], [macv_q27]) Validation: All items must be answered macvs_ss_fr
pnh_ss_protective_scale Integer Recommended Peer Network Health: Protective Scale Score; sum (pnh_substance, pnh_help, pnh_how_much_help, pnh_encourage, pnh_how_much_encourage); Validation: Items #1,#2, and #3 must be answered peer_network_health_ss_protective_scale
pnh_ss_protective_scale_nm Integer Recommended Peer Network Health: Protective Scale Missing peer_network_health_ss_protective_scale_nm
pnh_ss_protective_scale_nt Integer Recommended Peer Network Health: Protective Scale Total peer_network_health_ss_protective_scale_nt
mnbs_ss_monitor_supervision Float Recommended Monitoring/Supervision: mean of 1,2,3,4
mnbs_ss_mean_all Float Recommended all: mean 1-10
macv_y_ss_isr Integer Recommended Independence/Self Reliance: mean:indep/self reliance = 5, 10, 14, 19, 24
macv_y_ss_r Integer Recommended Religion: mean: religion = 1, 6, 11, 15, 20, 25, 28
mnbs_ss_ed_support Float Recommended Educational/support: mean of 8,9,10
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.