NDA Help Center

Login Dialog

Frequently Asked Questions


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). 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. 


Reset Password

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.

Warning Notice

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.

Update Password

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

  • Uppercase
  • Lowercase
  • Numbers
  • Special Characters limited to: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the NIMH Data Archive (NDA) web site to go to:

Click on the address above if the page does not change within 10 seconds.


NDA is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
Filter Cart
No filters selected
Value Range
Data Structures with shared data
No filters have been selected
Switch User

Endicott Work Productivity Scale

807 Shared Subjects

Clinical Assessments
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*
src_subject_id String 20 Required Subject ID how it's defined in lab/project id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field v10_ewps_date, v2_ewps_date
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. v10_ewps_age, v2_ewps_age
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query visday Integer Recommended Number of days from study baseline to date of visit date
Query phase Integer Recommended Phase 9 =follow up
Query week Float Recommended Week in level/study 99=week 10-week 14
Query site String 101 Recommended Site Study Site siteid
Query ewps_1 Integer Recommended Do you receive pay or other money for any type of work? 0;1 0 = No;1 = Yes pay, v10_ewps_pay_otherwork, v2_ewps_pay_otherwork
Query ewps_2 Integer Recommended Do you do volunteer work? 0;1 0 = No;1 = Yes v10_ewps_volunteer, v2_ewps_volunteer, volunter
Query ewps_3 Integer Recommended If you do not receive money for your work and do not do volunteer work, please indicate why you do not; 1::4 1 = I am physically ill;2 = I am too upset, depressed, or nervous;3 = I can't find work;4 = Other (please specify) notwork, v10_ewps_no_workvolunteer_why, v2_ewps_no_workvolunteer_why
Query ewps_4 Integer Recommended I am self-employed. 0;1 0 = No;1 = Yes selfemp, v10_ewps_selfemploy, v2_ewps_selfemploy
Query ewps_5 Integer Recommended I work for someone else 0;1 0 = No;1 = Yes v10_ewps_workforsomeone, v2_ewps_workforsomeone, workfor
Query ewps_6 Integer Recommended I have a boss/supervisor. 0;1 0 = No;1 = Yes boss, v10_ewps_boss, v2_ewps_boss
Query ewps_7 Integer Recommended I have co-workers with whom I must work. 0;1 0 = No;1 = Yes coworker, v10_ewps_coworkers, v2_ewps_coworkers
Query ewps_8 Integer Recommended I supervise others at work 0;1 0 = No;1 = Yes supervis, v10_ewps_supervise, v2_ewps_supervise
Query ewps_9 Integer Recommended I deal with clients/customers/vendors 0;1 0 = No;1 = Yes clients, v10_ewps_clients, v2_ewps_clients
Query ewps_10 Integer Recommended How many hours do you usually work or would you usually be expected to work? v10_ewps_hoursweek_expected, v2_ewps_hoursweek_expected, workhrs
Query ewps_11 Integer Recommended How many hours did you work last week? If you missed time at work last week, please note all reasons why v10_ewps_hours_lastweek, v2_ewps_hours_lastweek, workweek
Query ewps_12 Integer Recommended I had a day off (Holiday/vacation) 0::2 0=Unchecked;1=Checked; 2 = N/A dayoff, v2_ewps_missedwork_dayoff
Query ewps_13 Integer Recommended I was physically ill 0::2 0=Unchecked;1=Checked; 2 = N/A physill, v2_ewps_missedwork_physically_ill
Query ewps_14 Integer Recommended Too upset, depressed, or nervous 0::2 0=Unchecked;1=Checked; 2 = N/A depress, v2_ewps_missedwork_upset
Query ewps_15 Integer Recommended Missed work. Other (please specify) 0;1 0=Unchecked;1=Checked other, v10_ewps_missedwork_why_other, v2_ewps_missedwork_why_other
Query ewps_16 Integer Recommended Arrive at work late or leave work early? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always arrivelt, v10_ewps_pastweek_1earlylate, v2_ewps_pastweek_1earlylate
Query ewps_17 Integer Recommended Take longer lunch hours or coffee breaks? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always lngbreak, v10_ewps_pastweek_2longbreak, v2_ewps_pastweek_2longbreak
Query ewps_18 Integer Recommended Just do no work at times when you would be expected to be working? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always nowork, v10_ewps_pastweek_3nowork, v2_ewps_pastweek_3nowork
Query ewps_19 Integer Recommended Find yourself daydreaming, worrying or staring into space when you should be working? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always daydream, v10_ewps_pastweek_4daydream, v2_ewps_pastweek_4daydream
Query ewps_20 Integer Recommended Have to do a job over because you made a mistake or your supervisor told you to do a job over? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always jobover, v10_ewps_pastweek_5repeatjob, v2_ewps_pastweek_5repeatjob
Query ewps_21 Integer Recommended Waste time looking for misplaced supplies, materials, papers, phone numbers, etc.? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always v10_ewps_pastweek_6wastetime, v2_ewps_pastweek_6wastetime, wastetm
Query ewps_22 Integer Recommended Find you have forgotten to call someone? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always call, v10_ewps_pastweek_7forgetcall, v2_ewps_pastweek_7forgetcall
Query ewps_23 Integer Recommended Find you have forgotten to respond to a request? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always respond, v10_ewps_pastweek_8forgetresponse, v2_ewps_pastweek_8forgetresponse
Query ewps_24 Integer Recommended Become annoyed with or irritated by co-workers boss/supervisor, clients/customers/vendors or others? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always annoyed, v10_ewps_pastweek_9annoyed, v2_ewps_pastweek_9annoyed
Query ewps_25 Integer Recommended Become impatient with others at work? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always impatient, v10_ewps_pastweek_10impatient, v2_ewps_pastweek_10impatient
Query ewps_26 Integer Recommended Avoid attending meetings? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always avmeetin, v10_ewps_pastweek_11avoidmeeting, v2_ewps_pastweek_11avoidmeeting
Query ewps_27 Integer Recommended Avoid interaction with co-workers, clients, vendors or supervisors 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always interact, v10_ewps_pastweek_12avoidothers, v2_ewps_pastweek_12avoidothers
Query ewps_28 Integer Recommended Have a co-worker redo something you had completed? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always redowork, v10_ewps_pastweek_13coworkerredo, v2_ewps_pastweek_13coworkerredo
Query ewps_29 Integer Recommended Find it difficult to concentrate on the task at hand? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always concentr, v10_ewps_pastweek_14difficultconcentrate, v2_ewps_pastweek_14difficultconcentrate
Query ewps_30 Integer Recommended Fall asleep unexpectedly or become very sleepy while at work? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always fallaslp, v10_ewps_pastweek_15asleep, v2_ewps_pastweek_15asleep
Query ewps_31 Integer Recommended Become restless while at work? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always restless, v10_ewps_pastweek_16restless, v2_ewps_pastweek_16restless
Query ewps_32 Integer Recommended Notice that your productivity for the time spent is lower than expected? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always lowprod, v10_ewps_pastweek_17lowproductivity, v2_ewps_pastweek_17lowproductivity
Query ewps_33 Integer Recommended Notice that your efficiency for the time spent is lower than expected? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always loweffic, v10_ewps_pastweek_18lowefficiency, v2_ewps_pastweek_18lowefficiency
Query ewps_34 Integer Recommended Lose interest or become bored with your work? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always loseint, v10_ewps_pastweek_19bored, v2_ewps_pastweek_19bored
Query ewps_35 Integer Recommended Work more slowly or take longer to complete tasks than expected? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always v10_ewps_pastweek_20slow, v2_ewps_pastweek_20slow, workslow
Query ewps_36 Integer Recommended Have your boss/co-workers remind you to do things? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always remind, v10_ewps_pastweek_21reminders, v2_ewps_pastweek_21reminders
Query ewps_37 Integer Recommended Not want to return phone calls or putt off returning calls? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always putoff, v10_ewps_pastweek_22notreturncall, v2_ewps_pastweek_22notreturncall
Query ewps_38 Integer Recommended Have trouble organizing work or setting priorities? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always setprior, v10_ewps_pastweek_23organizationproblems, v2_ewps_pastweek_23organizationproblems
Query ewps_39 Integer Recommended Fail to finish assigned tasks? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always failfnsh, v10_ewps_pastweek_24failtofinish, v2_ewps_pastweek_24failtofinish
Query ewps_40 Integer Recommended Feel too exhausted to do your work? 0::4 0 = Never;1 = Rarely;2 = Sometimes;3 = Often;4 = Almost Always exhaustd, v10_ewps_pastweek_25exhausted, v2_ewps_pastweek_25exhausted
Query ewps_41 Integer Recommended Skip form 0;1 0=No; 1=Yes works
Query ewpstot Integer Recommended EWPS total score v2_ewps_total
demo_edu_other String 100 Recommended Education other: specify v10_ewps_education, v2_ewps_education
occup_sp String 100 Recommended Occupation other. Please describe: v10_ewps_occupation, v2_ewps_occupation
ewps_3a String 20 Recommended Do not receive money or volunteer, why not - other (describe) v10_ewps_no_workvolunteer_why_other, v2_ewps_no_workvolunteer_why_other
ewps_13a String 20 Recommended If you missed work, why - ill (describe) v10_ewps_missedwork_why_ill_describe, v2_ewps_missedwork_why_ill_describe
version_form String 121 Recommended Form used/assessment name
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.