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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). 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.

  • 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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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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Data Structures with shared data
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Family Studies Demographics

1,966 Shared Subjects

N/A
Clinical Assessments
Demographics
06/08/2015
fsd01
12/29/2017
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 pid, subjecttaj
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field interviewdate
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. age, age_month
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender, genderid
Query race String 30 Recommended 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 race_bacgrd
Query ethnicity String 30 Recommended Ethnicity of participant
Hispanic or Latino; Not Hispanic or Latino; Unknown
subjectkey_father GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's biological father NDAR* fa_subjectkey
src_father_id String 100 Recommended site specific father ID fa_src_subject_id
Query ques_agebf Integer Recommended Age (or age at death) -Biological Father(in months) 0 :: 1200; -999 -999 = Missing value fa_age
Query ques_genderbf String 50 Recommended Gender -Biological Father
M;F
M = Male; F = Female fa_gender
Query bio_father_race String 150 Recommended Biological Father Race American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported fa_race, paternalrace
Query bio_father_ethnicity String 50 Recommended Biological Father ethnicity (Hispanic or Latino, Not Hispanic or Latino, No Answer)
Hispanic or Latino; Not Hispanic or Latino; No Answer
fa_ethnicity, paternalethnicity
Query et2b Integer Recommended Highest Level of Education Achieved. Biological father 1::12; 99; 77 99=Don't know; 77=Refused; 1=8th grade or less; 2=9th grade or above, not a high school graduate; 3= high school graduate or GED; 4= post high school education, no college degree; 5=vocational-technical = degree or certificate; 6=2-year college degree/associate degree; 7= 4-year college degree/BA, BS degree; 8= some BA/BS work, no degree; 9=master degree, e.g. MSW, MA, MFA, MPH, MBA; 10=PHD, MD, JD, LLB, or other professional graduate degree; 11=other; 12=Less than high school diploma/GED fa_education
Query dem_08b Integer Recommended Father current employment 1::12;99 1=Working full time(35hrs or more a week at one or more jobs); 2=Working part time; 3=Keeping house; 4=Unemployed, looking for work; 5=Unemployed, not looking for work; 6=Disabled; 7=Retired; 8=Student, full time; 9=Student, part time; 10=Other; 11 =Unemployed; 99=Not in household; 12 = Self-employed fa_employment
Query fa_maritalstatus Integer Recommended Marital status (biological father) 1::6 1=Married; 2=Never Married; 3=Not married (living together); 4=Divorced; 5=Separated; 6=Widowed
Query fa_householdincome Integer Recommended Household annual income (biological father) 1::11 1=<3,001; 2=3,001-5,000; 3=5,001-10,000; 4=10,001-20,000; 5=20,001-30,000; 6=30,001-40,000; 7=40,001-50,000; 8=50,001-75,000; 9=75,001-100,000; 10=100,001 and above; 11=Would rather not say
subjectkey_mother GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's biological mother NDAR* mo_subjectkey
src_mother_id String 100 Recommended site specific mother ID mo_src_subject_id
Query ques_agebm Integer Recommended Age (or age at death) -Biological Mother(in months) 0 :: 1200; -999 -999 = Missing value mo_age
Query ques_genderbm String 50 Recommended Gender -Biological Mother
M;F
M = Male; F = Female mo_gender
Query bio_mother_race String 150 Recommended Biological Mother Race
American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
maternalrace, mo_race
Query bio_mother_ethnicity String 50 Recommended Biological Mother Ethnicity
Hispanic or Latino;Not Hispanic or Latino; No Answer
maternalethnicity, mo_ethnicity
Query et2a Integer Recommended Highest Level of Education Achieved. Biological mother 1::12; 99; 77 99=Don't know; 77=Refused; 1=8th grade or less; 2=9th grade or above, not a high school graduate; 3= high school graduate or GED; 4= post high school education, no college degree; 5=vocational-technical = degree or certificate; 6=2-year college degree/associate degree; 7= 4-year college degree/BA, BS degree; 8= some BA/BS work, no degree; 9=master degree, e.g. MSW, MA, MFA, MPH, MBA; 10=PHD, MD, JD, LLB, or other professional graduate degree; 11=other; 12=Less than high school diploma/GED mo_education
Query dem_08a Integer Recommended Mother current employment 1::11;99 1=Working full time(35hrs or more a week at one or more jobs) ; 2=Working part time; 3=Keeping house ; 4=Unemployed, looking for work; 5=Unemployed, not looking for work; 6=Disabled; 7=Retired; 8=Student, full time; 9=Student, part time; 10=Other; 11 =Unemployed; 99=Not in household mo_employment
Query mo_maritalstatus Integer Recommended Marital status (biological mother) 1::6 1=Married; 2=Never Married; 3=Not married (living together); 4=Divorced; 5=Separated; 6=Widowed
Query mo_householdincome Integer Recommended Household annual income (biological mother) 1::11 1=<3,001; 2=3,001-5,000; 3=5,001-10,000; 4=10,001-20,000; 5=20,001-30,000; 6=30,001-40,000; 7=40,001-50,000; 8=50,001-75,000; 9=75,001-100,000; 10=100,001 and above; 11=Would rather not say
subjectkey_sibling1 GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's sibling NDAR* probandguid, sib1_subjectkey
src_sibling1_id String 100 Recommended site specific sibling1 ID probandid, sib1_src_subject_id
Query ques_age1 Integer Recommended Age -Sibling 1(in months) 0 :: 1200 sib1_age
Query ques_gender1 String 50 Recommended Gender -Sibling 1
M;F;T
M = Male; F = Female; T =Transgender sib1_gender
Query sib1_race String 30 Recommended Race- Sibling 1 American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
Query sib1_ethnicity String 30 Recommended Ethnicity- Sibling 1 Hispanic or Latino; Not Hispanic or Latino; No Answer
subjectkey_sibling2 GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's sibling NDAR* sib2_subjectkey
src_sibling2_id String 100 Recommended site specific sibling2 ID sib2_src_subject_id
Query ques_age2 Integer Recommended Age -Sibling 2(in months) 0 :: 1200 sib2_age
Query ques_gender2 String 50 Recommended Gender -Sibling 2
M;F
M = Male; F = Female sib2_gender
Query sib2_race String 30 Recommended Race- Sibling 2 American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
Query sib2_ethnicity String 30 Recommended Ethnicity- Sibling 2 Hispanic or Latino; Not Hispanic or Latino; No Answer
subjectkey_sibling3 GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's sibling NDAR* sib3_subjectkey
Query src_sibling3_id String 100 Recommended site specific sibling3 ID sib3_src_subject_id
Query ques_age3 Integer Recommended Age -Sibling 3(in months) 0 :: 1200 sib3_age
Query ques_gender3 String 50 Recommended Gender -Sibling 3
M;F
M = Male; F = Female sib3_gender
Query sib3_race String 30 Recommended Race- Sibling 3 American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
Query sib3_ethnicity String 30 Recommended Ethnicity- Sibling 3 Hispanic or Latino; Not Hispanic or Latino; No Answer
subjectkey_sibling4 GUID Recommended The NDAR Global Unique Identifier (GUID) for subject's sibling NDAR* sib4_subjectkey
src_sibling4_id String 100 Recommended site specific sibling4 ID sib4_src_subject_id
Query ques_age4 Integer Recommended Age -Sibling 4(in months) 0 :: 1200 sib4_age
Query ques_gender4 String 50 Recommended Gender -Sibling 4
M;F
M = Male; F = Female sib4_gender
Query sib4_race String 30 Recommended Race- Sibling 4 American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
Query sib4_ethnicity String 30 Recommended Ethnicity- Sibling 4 Hispanic or Latino; Not Hispanic or Latino; No Answer
Query mother_other_race String 50 Recommended Mother Other race (please specify): maternalraceother
Query father_other_race String 35 Recommended Father Other race (please specify): paternalraceother
race_other String 100 Recommended Race of Respondent Specify subjrace
Query aschool Integer Recommended Are you currently in school? 1;2; -99; 88; 77 1=Yes; 2=No; -99= N/A ; 88= Missing ; 77= Refused curren_schol
trgrade String 10 Recommended Grade in school -9 = Missing value ifyes_year
asr_49 String 100 Recommended If you attend(ed) school, college, or other education/training, what kind of program was it? ifcoleg_major
curreduccompleted String 50 Recommended Current grade education level completed your_educ
Query empcur Integer Recommended Currently employed 0;1; -99; 77; 88 0 = No; 1 = Yes; -99= N/A ; 88= Missing ; 77= Refused current_emply
psdem5 String 50 Recommended Type of job ifyes_posit
das1ms String 200 Recommended Marital status marit_stats, maritalstat
t1servrd String 50 Recommended Specify housing service: housing
Query ca39 Integer Recommended Subject lives with parents 0::3 0=No; 1=Yes both; 2=Yes mom; 3=Yes dad live_parents
Query therapy_n Integer Recommended subject in therapy 0;1 0=no; 1=yes current_ther
chf_07 String 250 Recommended Type of psychotherapy ifyes_type
Query ciao_meds Integer Recommended Psychiatric Medication: 0;1 0 = No; 1 = Yes current_meds
demo_12 String 50 Recommended If prescribed medications for your psychiatric illness, please list type and dose (if you know): ifyes_whi
Query asd_formaldiagnosis Integer Recommended Autism Spectrum Disorder: Formal diagnosis 0;1;-7;-8;-9 0 = No; 1 = Yes; -7 = Don't know; -8 = Refused to answer; -9 = Does not apply current_asd
nimh_rv_clinhx_20a String 300 Recommended Autism spectrum disorder. Specify ifyes_offdiag
Query medhx_autism_age Integer Recommended Autism: Age diagnosed (in months) old_firsdiag
other_psych_disorder_specify String 200 Recommended specify other psychiatric disorder. current_psychdiag
Query past_psych_med Integer Recommended Past psychiatric medications 1;2 1=Yes; 2=No; ever_takemed
past_meds_described String 200 Recommended describe subjects past medications ifyes_which
Query ifyes_liveaway Integer Recommended If you live with your parents, then have you ever lived away from them? 0;1 0 = No; 1 = Yes
Query evr_sought Integer Recommended Have you EVER sought counseling or therapy? 0;1 0 = No; 1 = Yes
ifyes_treated String 300 Recommended If you have EVER sought counseling or therapy, then please indicate for what.
ifyes_old_tx String 100 Recommended If you have EVER sought counseling or therapy, then how old were you? Age in months
ifyes_old_rx String 110 Recommended If you have EVER taken psychiatric medications, then how old were you?
experienced_any String 250 Recommended Have you experienced any of these experiences over the previous year? Check all that apply: Separation or divorce, marriage, change in individuals in household, financial changes (significant increase or decrease in income), moved, started a new job or changed position at job, death of family member, death of close friend.
Query phenotype String 200 Recommended Phenotype/diagnosis for the subject group
Query edutot Float Recommended Total years of education lgrad
ethnic_group String 255 Recommended Ethnic group
Query occustat Integer Recommended current employment status 1::9 1=A worker for pay;2=Disabled 3=A housewife/househusband; 4=A student; 5=Unemployed; 6=Retired; 7=employed/student; 8 = Does not apply (lives in institution, etc.); 9 = Not known actualoccup
Query thous Integer Recommended Total number of persons in household 0=Does not apply (e.g., in institution), 99=unknown nlivh
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.