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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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Clinical History

0 Shared Subjects

N/A
Clinical Assessments
Med History
05/13/2020
demclinhist01
05/21/2020
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 Required field
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 the subject
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported gender
interviewphone_date Date Required Date on which phone screening interview completed. MM/DD/YYYY
interviewclinic_date Date Required Date on which clinic screening interview completed. MM/DD/YYYY
interviewbaseline_date Date Required Date on which baseline enrollment interview completed. MM/DD/YYYY
enrollage Integer Required Age in months at the time of baseline enrollment interview. 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. enrollment_age
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
ethnicity String 30 Recommended Ethnicity of participant
Hispanic or Latino; Not Hispanic or Latino; Unknown
ethnic_group
site String 101 Recommended Site Study Site
trtarm String 200 Recommended Treatment arm arm
risk_ps Integer Recommended Pregnancy risk strata at baseline week 0 0;1 0 = Low risk strata (Pregnant false), 1 = High risk strata (Pregnant true)
risk_css Integer Recommended Clinical status risk strata at baseline week 0 1;2 1 = Low risk strata (Asymptomatic recovery), 2 = High risk strata (Symptomatic recovery, Prodromal, Recovering, Continued Symptomatic)
risk_cst Integer Recommended Clinical status risk type at baseline week 0 0::4 Low risk strata: 0 = Asymptomatic recovery; High risk strata: 1 = Symptomatic Recovery, 2 = Recovering, 3 = Prodromal, 4 = Continued Symptomatic
risk_psr Float Recommended Psychiatric status rating at baseline week 0 1::4 Low risk strata: 1 = No symptoms (no mild, moderate, marked, or severe symptoms & no impairment), 1.5 = Mild Symptoms (? 1 mild symptom & no moderate, marked, or severe symptoms & no moderate impairment); High risk strata: 2 = Residual or Prodromal Symptoms (? 1 mild symptom & no moderate, marked, or severe symptoms & no moderate impairment), 3 = Moderate Symptoms (symptom count sum ? 3 or moderate impairment), 4 = Marked Symptoms (symptom count sum ? 3 or marked or severe impairment)
le_wks Integer Recommended Weeks to last episode at baseline week 0 0::112 Calculated from baseline assessment date to mid-point of season and year of or age at most recent episode of hypomania, mania, or depression. Seasons defined as Fall= September, October, November; Winter= December, January, February; Spring= March, April, May; Summer= June, July, August. Weeks to last episode thus estimated to about 12 weeks, and if in same year and season as baseline assessment assigned as zero weeks.
led_wks Integer Recommended Weeks to last depressive episode at baseline week 0 Calculated from baseline assessment date to mid-point of season and year of or age at most recent episode of hypomania, mania, or depression. Seasons defined as Fall= September, October, November; Winter= December, January, February; Spring= March, April, May; Summer= June, July, August. Weeks to last episode thus estimated to about 12 weeks, and if in same year and season as baseline assessment assigned as zero weeks.
lem_wks Integer Recommended Weeks to last manic episode at baseline week 0 Calculated from baseline assessment date to mid-point of season and year of or age at most recent episode of hypomania, mania, or depression. Seasons defined as Fall= September, October, November; Winter= December, January, February; Spring= March, April, May; Summer= June, July, August. Weeks to last episode thus estimated to about 12 weeks, and if in same year and season as baseline assessment assigned as zero weeks.
lehm_wks Integer Recommended Weeks to last hypomanic episode at baseline week 0 Calculated from baseline assessment date to mid-point of season and year of or age at most recent episode of hypomania, mania, or depression. Seasons defined as Fall= September, October, November; Winter= December, January, February; Spring= March, April, May; Summer= June, July, August. Weeks to last episode thus estimated to about 12 weeks, and if in same year and season as baseline assessment assigned as zero weeks.
nde Float Recommended Number of depressive episodes Average from number of depressive episodes at phone screen and midpoint of category at clinic screen
nde_mini Integer Recommended Number of depressive episodes (MINI) at phone screening
nde_ade Integer Recommended Number of depressive episodes (ADE) at clinic screening 0::10 0 = 0 episodes, 1 = 1 episode, 2 = 2 episodes, 3 = 3 episodes, 4 = 4-5 episodes, 5 = 6-9 episodes, 6 = 10-20 episodes, 7 = 21-50 episodes, 8 = Too Many To Count, 9 = Indeterminate, 10 = Missing
nme Float Recommended Number of manic episodes Average from number of manic episodes at phone screen and midpoint of category at clinic screen
nme_mini Integer Recommended Number of manic episodes (MINI) at phone screening
nme_ade Integer Recommended Number of manic episodes (ADE) at clinic screening 1::10 1 = 1 episode, 2 = 2 episodes, 3 = 3 episodes, 4 = 4-5 episodes, 5 = 6-9 episodes, 6 = 10-20 episodes, 7 = 21-50 episodes, 8 = Too Many To Count, 9 = Indeterminate, 10 = Missing
fde_mos Integer Recommended Age in months at first depressive epsiode at phone and clinic screening Age is rounded to chronological month by years of age
fme_mos Integer Recommended Age in months at first manic episode at phone and clinic screening Age is rounded to chronological month by years of age
nph Integer Recommended Number of psychiatric hospitalizations at phone screening
nsa Integer Recommended Number of suicide attempts at phone screening 0::6 0 = no suicide attempts, 1 = 1 suicide attempt, 2 = 2 suicide attempts, 3 = 3 suicide attempts, 4 = 4-5 suicide attempts, 5 = 6-9 suicide attempts, 6 = 10-20 suicide attempts
hop Integer Recommended History of psychosis at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_none Integer Recommended No current comorbid psychiatric disorder at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_pd Integer Recommended Current comorbid diagnosis of panic disorder at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_agor Integer Recommended Current comorbid diagnosis of agoraphobia at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_gad Integer Recommended Current comorbid diagnosis of generalized anxiety disorder at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_sp Integer Recommended Current comorbid diagnosis of social phobia at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_ocd Integer Recommended Current comorbid diagnosis of obsessive compulsive disorder at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_ptsd Integer Recommended Current comorbid diagnosis of post-traumatic stress disorder at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_buli Integer Recommended Current comorbid diagnosis of bulimia at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_anor Integer Recommended Current comorbid diagnosis of anorexia at phone and clinic screening 0;1 0 = False, 1 = True
ccmd_dys Integer Recommended Current comorbid diagnosis of dysthymia at phone and clinic screening 0;1 0 = False, 1 = True
lcmd_none Integer Recommended No lifetime history of comorbid psychiatric disorders at phone screening 0;1 0 = False, 1 = True
lcmd_pdpa Integer Recommended Lifetime history of panic disorder or panic attacks at phone screening 0;1 0 = False, 1 = True
lcmd_buli Integer Recommended Lifetime history of bulimia at clinic screening 0;1 0 = False, 1 = True
lcmd_anor Integer Recommended Lifetime history of anorexia at clinic screening 0;1 0 = False, 1 = True
lcmd_sud Integer Recommended Lifetime history of substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhbd_none Integer Recommended No family history of bipolar disorder at clinic screening 0;1 0 = False, 1 = True
fhbd_nuclear Integer Recommended Nuclear family history of bipolar disorder at clinic screening 0;1 0 = False, 1 = True
fhbd_maternal Integer Recommended Maternal family history of bipolar disorder at clinic screening 0;1 0 = False, 1 = True
fhbd_paternal Integer Recommended Paternal family history of bipolar disorder at clinic screening 0;1 0 = False, 1 = True
fhsud_none Integer Recommended No family history of substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhsud_nuclear Integer Recommended Nuclear family history of substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhsud_maternal Integer Recommended Maternal family history of substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhsud_paternal Integer Recommended Paternal family history of substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhmhd_none Integer Recommended No family history of mental health disorder other than bipolar disorder or substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhmhd_nuclear Integer Recommended Nuclear family history of mental health disorder other than bipolar disorder or substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhmhd_maternal Integer Recommended Maternal family history of mental health disorder other than bipolar disorder or substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhmhd_paternal Integer Recommended Paternal family history of mental health disorder other than bipolar disorder or substance use disorder at clinic screening 0;1 0 = False, 1 = True
fhs_none Integer Recommended No family history of suicide at clinic screening 0;1 0 = False, 1 = True
fhs_nuclear Integer Recommended Nuclear family history of suicide at clinic screening 0;1 0 = False, 1 = True
fhs_maternal Integer Recommended Maternal family history of suicide at clinic screening 0;1 0 = False, 1 = True
fhs_paternal Integer Recommended Paternal family history of suicide at clinic screening 0;1 0 = False, 1 = True
marst Integer Recommended Marital status at phone screening 1::6 1 = Never married, 2 = Married/domestic partner, 3 = Divorced, 4 = Separated, 5 = Widowed, 6 = Living with significant other ms
npih Integer Recommended Number of people in household at phone screening
hle Integer Recommended Highest level of education at phone screening 1::8 1 = Some high school, 2 = Completed high school/ged, 3 = Some college, 4 = 2-year college, 5 = 4-year college, 6 = Master's degree, 7 = Professional degree, 8 = Doctoral degree
es Integer Recommended Employment status at phone screening 1::6 1 = Employed, 2 = Unemployed, 3 = On disability insurance, 4= Student, 5 = Retired, 6 = Other
yhi Integer Recommended Yearly household income in dollars at phone screening
mid_treatment_date Date Recommended Date mid-treatment assessment completed
post_treatment_date Date Recommended Date post-treatment assessment completed
follow_up_date Date Recommended Date follow-up assessment completed
completed Integer Recommended Checks if completed 0::3 0=No; 1=Yes; 2=Yes, lost; 3=Unverified
withdraw_date Date Recommended Date withdrawn
withdraw_reason Integer Recommended Reason patient withdrew from study 0::8 0= Non-compliance; 1= Did not wish to continue in study; 2= Could not tolerate the treatment; 3= Hospitalization; 4= Illness; 5= Death; 6= Family circumstance; 7= Transportation; 8= Other
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data study_comments
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.