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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.


  • 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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Fagerstrom Test for Nicotine Dependence

4,800 Shared Subjects

Fagerstrom Test for Nicotine Dependence
Clinical Assessments
Substance Use
View Change History
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* ndar_fagerstrom
src_subject_id String 20 Required Subject ID how it's defined in lab/project record_id, subject_id
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_fagerstrom
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field date_fagerstrom, date_ftcd, date_of_interview_contact, fnd_doa, ftnd_date, visit_date_fagerstrom
sex String 20 Required Sex of the subject
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported gender, gender_fagerstrom
Query q01_first_cig Integer Recommended How soon after you wake up do you smoke your first cigarette? 0::3 0=after 60 min; 1 = 31-60 min; 2=6-30 min; 3 = withing 5 min aftrwake, fager_1, firstcig, fnd1_cig_after_waking, ftcd_1, ftnd_8, ftnd_rstcig, how_soon_after_you_wake_up, smoking1
Query q02_forbidden Integer Recommended Do you find it difficult to refrain from smoking in places where it is forbidden? 0;1; 9 0=No; 1=Yes; 9=NA do_you_find_it_difficult_t, fager_2, fnd2_smoking_forbid_places, frbiddn, ftcd_2, ftnd_9, ftnd_forbidden, refrain, smoking2
Query q03_give_up Integer Recommended Which cigarette would you hate most to give up?
0;1; 9
0=All others; 1= First one in the morning; 9= NA fager_3, fnd3_cig_hate_giveup, ftcd_3, ftnd_10, ftnd_giveup, giveup, smoking3, which_cigarette_would_hate, whichgvup
Query q04_per_day Integer Recommended How many cigarettes per day do you smoke? 0::3 0=10 or less; 1=11 to 20; 2=21-30; 3=31 or more cigsaday, cigsperday, fager_4, fnd4_cigs_per_day, ftcd_4, ftnd_11, ftnd_cigperday, how_many_cigarettes_per_da, smoking4
Query q05_frequency Integer Recommended Do you smoke more frequently during the first hours of waking than during the rest of the day? 0;1 0=No; 1=Yes do_you_smoke_more_frequent, fager_5, fnd5_smoke_most_waking, ftcd_5, ftnd_12, ftnd_awakening, morning, smoking5
Query q06_ill Integer Recommended Do you smoke if you are so ill that you are in bed most of the day? 0;1 0=No; 1=Yes do_you_smoke_when_you_are, fager_6, fnd6_smoke_even_ill, ftcd_6, ftnd_13, ftnd_ill, sick, smoking6, whensick
Query nds Integer Recommended Nicotine dependence score 1::5 1=0 No Dependence; 2=1-2 Low Dependence; 3=3-5 Moderately Dependent; 4=6-8 Highly Dependent; 5=9-10 Very Dependent
Query ftnd_7 Integer Recommended Do you currently smoke any cigarettes? Y/N
0::2; -99; 77; 88
0=No; 1=Yes; 2=No, but used to; -99=NA; 77=refused; 88=missing do_you_currently_smoke_cig, fager_0, fagerstrom_nico_dependence, fnd_current_smoker_yn, ftnd8, ftnd_smoking_history, smokecigarettes
Query ftnd_score_total Integer Recommended FTND Total sums all ques fager_total, fnd_smoke_total, ftcd_score, ftnd_score, total, total_score
subject_description String 4,000 Recommended Subject related information (e.g the affection, phenotype, disease information, etc.).
site String 101 Recommended Site Study Site
Query study String 100 Recommended Study
Query week Float Recommended Week in level/study 99=week 10-week 14
comments String 4,000 Recommended Comments about assessment fnd_notes, ftnd_notesexpanded
doa_futdt String 20 Recommended Future date entered (Assessment) fnd_doa_futdt
dode String 10 Recommended Date of Data Entry fnd_dode
dode_futdt String 20 Recommended Future date entered (Data Entry) fnd_dode_futdt
Query form_completed Integer Recommended Was the form completed?
1=Yes; 2=No; 3=Unverified; 4 = N/A-Not in age range fagerstrom_complete, fnd_form_complete
Query form_explain Integer Recommended Why was this form not completed? 86::99 99=Participant unable to complete due to cognitive impairment; 98=Participant unable to complete due to physical impairment; 97=Participant refused to begin/finish; 96=Participant completed but with less than best effort; 95=Participant unable to be contacted; 94=Participant deceased; 93=Participant withdrew consent; 92=Time constraints; 91=Rater forgot to administer; 90=Missed appointment; 89=Participant was terminated from study; 88=Other;87 = Not Done (reason unspecified); 86 = Not Applicable fnd_explain
other_reason_nc String 100 Recommended Other reason form was not completed fnd_other_reason_nc
Query assessment_complete Integer Recommended Complete? 0::2 0=Incomplete; 1=Unverified; 2=Complete fagerstrom_nicotine_dependence_complete, fagerstron_complete, ftnd_fagerstrom_test_for_nicotine_dependence_complete
Query fnd_smoker_yn Integer Recommended Have you ever been a smoker (past or current)? 0;1 0=No; 1=Yes ftcd_ever
Query fnd_how_long_quit Integer Recommended How long has it been since you quit smoking?
Query fnd_units_since_quit_smoking Integer Recommended Units for time since quit smoking 1::4 1=Days; 2=Weeks; 3=Months; 4=Years
Query ftcd_days Integer Recommended If YES, have you smoked in the past 30 days? 0;1 0=No; 1=Yes smokeinpastmonth
Query mhx052 Integer Recommended Does the client currently use chewing tobacco 0;1 0=No; 1=Yes
Query mhx053 Integer Recommended How soon after you wake up to do you place your first dip 0::3 0=after 60 min; 1 = 31-60 min; 2=6-30 min; 3 = withing 5 min
Query mhx054 Integer Recommended How often do you intentionally swallow tobacco juice 1::3 1=Always; 2=Sometimes; 3=Never
Query mhx055 Integer Recommended Which chew would you hate to give up most 0;1 0=All others; 1= First one in the morning
Query mhx056 Integer Recommended How many cans/pouches per week do you use 1::3 1=more than 3; 2= 2-3; 3=1
Query mhx057 Integer Recommended Do you chew more frequently during the first hours after awakening than during the rest of the day 0;1 0=No; 1=Yes
Query mhx058 Integer Recommended Do you chew if you are so ill that you are in bed most of the day 0;1 0=No; 1=Yes
Query chwscore Integer Recommended Total Score for Chewing Tobacco Section Items (uses re-coded values)
Query wrstscor String 25 Recommended Worst Score (Cigarette vs Tobacco)
Query visit String 60 Recommended Visit name
Query dusa1a Integer Recommended If yes, on average, how many cigarettes per day have you smoked in the past 7 days? 0::100; 999 999= Legitimately skipped ftnd9
Query first_cig_smoke_reg_age Integer Recommended How old were you when you first started smoking cigarettes FAIRLY REGULARLY? PX030702_First_Cigarette_Smoking_Regularly_Age 1::99;999 ftnd10
Query fgrstrm_packs Integer Recommended How many packs of cigarettes per day have you smoked at the most?
sample Integer Recommended Training or randomized case 1::5 1 = randomized; 2 = training; 3=randomized-control; 4=randomized-intervention; 5=concurrent cohort-intervention
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.