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This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

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NIMH Data Archive
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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.
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SSC-Subject

10,190 Shared Subjects

Simons Simplex Collection Subject Info
Federated
Summary
02/20/2013
ssc_subject01
12/16/2022
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, sex
Query race String 30 Required Race of study subject American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported; Other Non-White; Other
Query ethnic_group String 255 Recommended Ethnic group ethnicity
Query phenotype String 200 Required Phenotype/diagnosis for the subject cpea_dx
family_user_def_id String 25 Required Family Pedigree User-Defined ID family
subjectkey_mother GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's biological mother NDAR*
src_mother_id String 100 Required site specific mother ID
subjectkey_father GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's biological father NDAR*
src_father_id String 100 Required site specific father ID
subjectkey_sibling1 GUID Required The NDAR Global Unique Identifier (GUID) for subject's sibling NDAR*
src_sibling1_id String 100 Required site specific sibling1 ID
Query sibling_type1 String 255 Required Type of Sibling
Full Brother FB; Half Mother Brother HMB; Half Father Brother HFB; Full Sister FS; Half Mother Sister HMS; Half Father Sister HFS; Adopted Brother AB; Adopted Sister AS; Unknown
subjectkey_sibling2 GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's sibling NDAR*
src_sibling2_id String 100 Recommended site specific sibling2 ID
Query sibling_type2 String 255 Recommended sibling type
Full Brother FB; Half Mother Brother HMB; Half Father Brother HFB; Full Sister FS; Half Mother Sister HMS; Half Father Sister HFS; Adopted Brother AB; Adopted Sister AS; Unknown
subjectkey_sibling3 GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's sibling NDAR*
src_sibling3_id String 100 Recommended site specific sibling3 ID
Query sibling_type3 String 255 Recommended sibling type
Full Brother FB; Half Mother Brother HMB; Half Father Brother HFB; Full Sister FS; Half Mother Sister HMS; Half Father Sister HFS; Adopted Brother AB; Adopted Sister AS; Unknown
subjectkey_sibling4 GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's sibling NDAR*
Query src_sibling4_id String 100 Recommended site specific sibling4 ID
Query sibling_type4 String 255 Recommended sibling type
Full Brother FB; Half Mother Brother HMB; Half Father Brother HFB; Full Sister FS; Half Mother Sister HMS; Half Father Sister HFS; Adopted Brother AB; Adopted Sister AS; Unknown
Query zygosity String 255 Recommended Zygosity
monozygous; dizygous; trizygotic; 999
999=unknown
Query adi_dx String 15 Recommended ADI: Diagnosis adi_r_cpea_dx
Query ados_dx String 15 Recommended ADOS Diagnosis diagnosis_ados
Query abc_total_score Integer Required Aberrant Behavior Checklist total score 0::174
Query dbaes_bnvtotal Integer Required Total of Section B - Non-Verbal: Qualitative Abnormalities in Communication 0::20; 999 999=missing adi_r_comm_b_non_verbal_total
Query dbaes_bvtotal Integer Required Total of Section B - Verbal: Qualitative Abnormalities in Communication 0::30; 999 999=missing adi_r_b_comm_verbal_total
Query dbaes_atotal Integer Required Total for Section A: Qualitative Abnormalities in Reciprocal Social Interaction 0::30; 999 999 = missing adi_r_soc_a_total
Query dbaes_ctotal Integer Required Total of Section C: Restricted, Repetitive, and Stereotyped Patterns of Behavior 0::25; 999 999=missing adi_r_rrb_c_total
Query dbaes_dtotal Integer Required Total of Section D 0::30; 999 999=missing adi_r_evidence_onset
Query ados_module Integer Required ADOS Module
Query ados_age Integer Recommended Age at ADOS age_at_ados
Query scoresumm_abtotal Integer Required Communication + Social Interaction Total ados_communication_social
Query scoresumm_abtotal_2007 Integer Required Social Affect Total (used only with 2007 scoring algorithm) In module 1 no words, equals A2 + A8 + B1 + B3 + B4 + B5 + B9 + B10 + B11 + 12. In module 1 some words, equals A2 + A7 + A8 + B1 + B3 + B4 + B5 + B9 + B10 + B12. In module 2, equals A7 + A8 + B1 + B2 + B3 + B5 + B6 + B8 + B10 + B11. In module 3, equals A7 + A8 + A9 + B1 + B2 + B4 + B7 + B8 + B9 + B10. Used only with 2007 scoring algorithm. ados_social_affect
Query scoresumm_adtotal_2007 Integer Required Restricted and Repetitive Behavior Total (used only with 2007 scoring algorithm) In module 1 no words, equals A3 + D1 + D2 + D4. In module 1 some words, equals A5 + D1 + D2 + D4. In module 2, equals A5 + D1 + D2 + D4. In module 3, equals A4 + D1 + D2 + D4. Used only with 2007 scoring algorithm. ados_restricted_repetitive
Query composite_totalb Float Required Adaptive Behavior Composite Standard Score 999=missing/NA vineland_ii_composite_standard_score
iqtestname String 255 Required Name of IQ test given to participant
Query ssc_diagnosis_vma Float Recommended Verbal mental age
Query ssc_diagnosis_verbal_iq Float Recommended Estimate of the individual's verbal ability Estimate of the individual's verbal ability and consists of both Deviation IQs (i.e. IQs derived from standard scores) and Ratio IQs (i.e. IQs derived by dividing verbal mental age by chronological age for individuals who were not able to obtain a Verbal Deviation IQ).
Query ssc_diag_v_iq_type Integer Recommended This variable indicates whether the verbal iq reflected in the variable core_descriptive.ssc_diagnosis_verbal_iq is a deviation or ratio IQ 1;2 1 = Deviation; 2 = Ratio. This variable indicates whether the verbal iq reflected in the variable core_descriptive.ssc_diagnosis_verbal_iq is a deviation or ratio IQ; this information is provided for investigators who would like to report the proportion of each type of IQ comprising the sample. A value of 1 indicates that the IQ is a deviation IQ; a value of 2 indicates that the IQ is a ratio IQ (see description of core_descriptive.ssc_diagnosis_verbal_iq above for more information).
Query ssc_diagnosis_nvma Float Recommended Nonverbal mental age
Query ssc_diag_nv_iq Float Recommended Estimate of the individual's nonverbal ability Estimate of the individual's nonverbal ability and consists of both Deviation IQs (i.e. IQs derived from standard scores) and Ratio IQs (i.e. IQs derived by dividing nonverbal mental age by chronological age for individuals who were not able to obtain a Nonverbal Deviation IQ). ssc_diagnosis_nonverbal_iq
Query ssc_diag_nv_iq_type Integer Recommended This variable indicates whether the nonverbal iq reflected in the variable core_descriptive.ssc_diagnosis_nonverbal_iq is a deviation or ratio IQ 1;2 1 = Deviation; 2 = Ratio. This variable indicates whether the nonverbal iq reflected in the variable core_descriptive.ssc_diagnosis_nonverbal_iq is a deviation or ratio IQ; this information is provided for investigators who would like to report the proportion of each type of IQ comprising the sample. A value of 1 indicates that the IQ is a deviation IQ; a value of 2 indicates that the IQ is a ratio IQ (see description of core_descriptive.ssc_diagnosis_nonverbal_iq above for more information). ssc_diagnosis_nonverbal_iq_type
Query ssc_diag_fs_iq Float Recommended Estimate of the individual's overall cognitive ability Estimate of the individual's overall cognitive ability and consists of both Deviation IQs (i.e. IQs derived from standard scores) and Ratio IQs (i.e. IQs derived by dividing their averaged mental ages by chronological age for individuals who were not able to obtain a Full-Scale Deviation IQ). ssc_diagnosis_full_scale_iq
Query ssc_diag_fs_iq_type Integer Recommended This variable indicates whether the full scale iq reflected in the variable core_descriptive.ssc_diagnosis_full_scale_iq is a deviation or ratio IQ 1;2 1 = Deviation; 2 = Ratio. This variable indicates whether the full scale iq reflected in the variable core_descriptive.ssc_diagnosis_full_scale_iq is a deviation or ratio IQ; this information is provided for investigators who would like to report the proportion of each type of IQ comprising the sample. A value of 1 indicates that the IQ is a deviation IQ; a value of 2 indicates that the IQ is a ratio IQ (see description of core_descriptive.ssc_diagnosis_full_scale_iq above for more information). ssc_diagnosis_full_scale_iq_type
Query rbsr_overall_total Integer Recommended Overall score rbs_r_overall_score
Query srs_parent_t_score Float Recommended SRS T scores, based upon the caregiver's report.
Query srs_parent_raw_total Integer Recommended SRS Total Raw Score parent's report
Query srs_teacher_t_score Float Recommended SRS T scores based upon the teacher's report.
Query srs_teacher_raw_total Integer Recommended SRS Total Raw Score teacher's report
Query cbcl_in5_tscr Integer Recommended CBCL 2-5 Internalizing T Score 0 :: 100 cbcl_2_5_internalizing_t_score
Query cbcl_ex5_tscr Integer Recommended CBCL 2-5 Externalizing T Score 0 :: 100 cbcl_2_5_externalizing_t_score
Query cbcl_in6_tscr Integer Recommended CBCL 6-18 Internalizing T Score cbcl_6_18_internalizing_t_score
Query cbcl_ex6_tscr Integer Recommended CBCL 6-18 Externalizing T Score cbcl_6_18_externalizing_t_score
Query regression String 25 Recommended Summary of ADI-R' results (q11-28) of skills loss word loss; other loss; possible loss; no loss
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.