NDA Help Center

Login Dialog

Frequently Asked Questions

Glossary

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 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.

    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.

  • 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. 

Loading...

Login
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.

Disclaimer

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
Description
Value Range
Notes
Data Structures with shared data
No filters have been selected
Switch User

COVID Impacts Questionnaire

0 Shared Subjects

A questionnaire about the impacts COVID-19 had on the participants life, including their employment, family life, and other relationships. The questionnaire also includes questions about whether the participant knows how to protect themselves from the virus.
Clinical Assessments
Health
05/25/2021
covidim01
07/29/2021
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* guid
src_subject_id String 20 Required Subject ID how it's defined in lab/project
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.
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported
covidim_1 Integer Recommended If you were employed in February 2020, how did your employment status change in the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::9 1 = Not employed; 2 = I still went to my workplace for the same number of hours as before the pandemic; 3 = I still went to my workplace, but worked reduced hours; 4 = I worked from home for the same number of hours as before the pandemic; 5 = I worked from home, but worked reduced hours; 6 = I was furloughed; 7 = I lost my job; 8 = I had to quit my job because I needed to take care of people who depend on me (children, parents); 9 = Refused
covidim_2 Integer Recommended If you were employed in February 2020, what is your employment status now? 1::10 1 = Not employed in February 2020, 2 = I go to my workplace for the same number of hours as before the pandemic; 3 = I go to my workplace, but work reduced hours; 4 = I work from home for the same number of hours as before the pandemic; 5 = I work from home, but work reduced hours; 6 = I was furloughed and have been since gone back to work; 7 = I was furloughed, but have not yet gone back to work; 8 = I lost my job and am still not employed; 9 = I lost my job, but have gotten a new one; 10 = Refused
covidim_3 Integer Recommended Did your household income change in the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::5 1 No, there was no change in my household income; 2 = Yes, there were small changes, but I was able to meet all my needs and pay bills; 3 = Yes, there were moderate changes and I had to cut spending, but I was able to meet basic needs and pay; 4 = Yes, there were severe changes and I was unable to meet basic needs or pay bills; 5 = Refused
covidim_4 Integer Recommended Did your access to food change in the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::5 1 = No, my access to food did not change; 2 = Yes, I had enough food, but difficulty getting to the store or finding items; 3 = Yes, I occasionally lacked enough food or good quality foods; 4 = Yes, I frequently lacked enough food; 5 = Refused
covidim_5 Integer Recommended Did your access to medical health change in the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::6 1 = I didn't need access to medical health care during this period; 2 = No, I experienced no changes in my access to needed health care; 3 = I experienced mild changes, such as appointments moved to telehealth instead of in-person visits; 4 = I experienced moderate changes, such as delays in my appointments or in getting prescriptions filled; 5 = I was unable to access needed health care; 6 = Refused
covidim_6 Integer Recommended Did your access to mental health change in the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::6 1 = I didn't need access to mental health care during this period; 2 = No, I experienced no changes in my access to mental health care; 3 = I experienced mild changes, such as appointments moved to telehealth instead of in-person visits; 4 = I experienced moderate changes, such as delays in my appointments or in getting prescriptions filled; 5 = I was unable to access needed health care; 6 = Refused
covidim_7 Integer Recommended Did your access to extended family and trusted friends change in the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::5 1 = No, I experienced no change; 2 = I experienced mild changes, continuing visits with social distancing or increasing my use of phone calls or social media to maintain contacts with friends and family; 3 = I experienced moderate changes, such as loss of contact with some (but not all) friends and family; 4 = I lost contact with all of my friends and family; 5 = Refused
covidim_8 Integer Recommended How can COVID-19 be transmitted? Close contact with an infected person who has symptoms? 0;1 0 = No; 1 = Yes
covidim_9 Integer Recommended How can COVID-19 be transmitted? Close contact with an infected person even if they don't show symptoms of infection? 0;1 0 = No; 1 = Yes
covidim_10 Integer Recommended How can COVID-19 be transmitted? Contact with surfaces an infected person has touched? 0;1 0 = No; 1 = Yes
covidim_11 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Wearing a face mask? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_12 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Washing your hands with soap frequently? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_13 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Seeing a health care provider if you feel sick? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_14 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Seeing a health care provider if you feel healthy but worry that you were exposed? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_15 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Avoiding public spaces, gatherings, and crowds? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_16 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Avoiding contact with people who could be high-risk? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_17 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Avoiding hospitals and clinics? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_18 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Avoiding restaurants? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_19 Integer Recommended In your opinion, how effective are the following actions for keeping you safe from COVID-19? Avoiding public transportation? 1::5 1 = Not effective at all; 2 = Hardly effective; 3 = Somewhat effective; 4 = Effective; 5 = Very effective
covidim_20 Integer Recommended If you have not been directly affected by COVID-19 infection, how likely do you think it is that the following events will happen in light of the pandemic? You will be infected? 1::7 1 = No chance; 2 = Very small chance; 3 = Medium chance; 4 = High chance; 5 = Very high chance; 6 = Absolutely sure; 7 = This has already happened
covidim_21 Integer Recommended If you have not been directly affected by COVID-19 infection, how likely do you think it is that the following events will happen in light of the pandemic? Someone in your direct environment (family, friends, colleagues) will be infected? 1::7 1 = No chance; 2 = Very small chance; 3 = Medium chance; 4 = High chance; 5 = Very high chance; 6 = Absolutely sure; 7 = This has already happened
covidim_22 Integer Recommended If you have not been directly affected by COVID-19 infection, how likely do you think it is that the following events will happen in light of the pandemic? You will have to go to the hospital if you get the infection? 1::7 1 = No chance; 2 = Very small chance; 3 = Medium chance; 4 = High chance; 5 = Very high chance; 6 = Absolutely sure; 7 = This has already happened
covidim_23 Integer Recommended If you have not been directly affected by COVID-19 infection, how likely do you think it is that the following events will happen in light of the pandemic? You will have to go into quarantine independent of you being infected or not? 1::7 1 = No chance; 2 = Very small chance; 3 = Medium chance; 4 = High chance; 5 = Very high chance; 6 = Absolutely sure; 7 = This has already happened
covidim_24 Integer Recommended If you have not been directly affected by COVID-19 infection, how likely do you think it is that the following events will happen in light of the pandemic? You will get infected and you will infect someone else? 1::7 1 = No chance; 2 = Very small chance; 3 = Medium chance; 4 = High chance; 5 = Very high chance; 6 = Absolutely sure; 7 = This has already happened
covidim_25 Integer Recommended If you have not been directly affected by COVID-19 infection, how likely do you think it is that the following events will happen in light of the pandemic? Someone in your direct environment (family, friends, colleagues) will die? 1::7 1 = No chance; 2 = Very small chance; 3 = Medium chance; 4 = High chance; 5 = Very high chance; 6 = Absolutely sure; 7 = This has already happened
covidim_26 Integer Recommended Since February 1, 2020, have you or someone in your home experienced any symptoms of the novel coronavirus (COVID-19)? 1::6 1 = No; 2 = Yes, someone in my home (not including me); 3 = Yes, multiple people in my home (not including me); 4 = Yes, I experienced such symptoms; 5 = Yes, both I and someone in my home experienced symptoms; 6 = I'm not sure/don't know
covidim_27 Integer Recommended Have you ever been tested for coronavirus? 0;1 0 = No; 1 = Yes
covidim_28 Integer Recommended Have you ever tested positive for coronavirus? 1;2 1 = No, I tested negative; 2 = Yes, I tested positive
covidim_29 Integer Recommended Have you been hospitalized for COVID-19? 0;1 0 = No; 1 = Yes
covidim_30 Integer Recommended What is your status now? 1::3 1 = I have recovered and I am symptom free; 2 = I am feeling better but have remaining symptoms; 3 = I am not feeling better
covidim_31 Integer Recommended Have one or more people in your immediate family been diagnosed with COVID-19? 0;1 0 = No; 1 = Yes
covidim_32 Integer Recommended Please rate the symptom severity of the person who was the sicket 1::4 1 = Mild: Symptoms effectively managed at home; 2 = Moderate: required brief hospitalization; 3 = Severe: required ventilation; 4 = Immediate family member died from COVID-19
covidim_33 Integer Recommended Have one or more close friends been diagnosed with COVID-19? 0;1 0 = No; 1 = Yes
covidim_34 Integer Recommended Please rate the symptom severity of the close friend who was the sickest? 1::4 1 = Mild: Symptoms effectively managed at home; 2 = Moderate: Required brief hospitalization; 3 = Severe: Required ventilation; 4 = Close friend member died from COVID-19
covidim_35 Integer Recommended Have you ared for one or more dependents in your home: 0;1 0 = No; 1 = Yes
covidim_36 Integer Recommended Who did you care for? Child/children? 0;1 0 = No; 1 = Yes
covidim_37 Integer Recommended Who did you care for? Elderly (over the age of 70)? 0;1 0 = No; 1 = Yes
covidim_38 Integer Recommended Who did you care for? Someone with a chronic disease or disability? 0;1 0 = No; 1 = Yes
covidim_39 Integer Recommended Have you provided care for someone in your home who had COVID-19? 0;1 0 = No; 1 = Yes
covidim_40 Integer Recommended Who did you care for? Child/children? 0;1 0 = No; 1 = Yes
covidim_41 Integer Recommended Who did you care for? Spouse/partner? 0;1 0 = No; 1 = Yes
covidim_42 Integer Recommended Who did you care for? Parent? 0;1 0 = No; 1 = Yes
covidim_43 Integer Recommended Who did you care for? Other family member? 0;1 0 = No; 1 = Yes
covidim_44 Integer Recommended Who did you care for? Other person? 0;1 0 = No; 1 = Yes
covidim_45 Integer Recommended How many people in your household work in health care or in other jobs that involve direct contact with other people? If none, enter 0
covidim_46 Integer Recommended Have you practiced social distancing (i.e., reduced your physical contact with people outside your home in social, work, or school setting by avoiding large groups and staying 6 or more feet away from other people when out in public)? 0;1 0 = No; 1 = Yes
covidim_47 Integer Recommended Have you stayed at home as much as possible? 0;1 0 = No; 1 = Yes
covidim_48 Integer Recommended Have you self-isolated or quarantined at any time since February 1, 2020? That is, did you separate youself from other people, even those in your own household, to prevent other from getting sick? 1::6 1 = No, I did not self-isolate or quarantine; 2 = Yes, because I had symptoms/was sick; 3 = Yes, because I tested positive for COVID-19; 4; Yes, because I was exposed to a known case; 5 = Yes, because I was exposed to a suspected case; 6 = Yes, because I was unsure of my infection status
covidim_49 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? More handwashing than usual? 0;1 0 = No; 1 = Yes
covidim_50 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? More use of hand sanitizer? 0;1 0 = No; 1 = Yes
covidim_51 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? More cleaning in your home than usual? 0;1 0 = No; 1 = Yes
covidim_52 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? More disinfecting surfaces in your household than usual? 0;1 0 = No; 1 = Yes
covidim_53 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? Disinfecting or wiping down groceries? 0;1 0 = No; 1 = Yes
covidim_54 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? Disinfecting or wiping down mail or packages? 0;1 0 = No; 1 = Yes
covidim_55 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? Stocking up on food and supplies? 0;1 0 = No; 1 = Yes
covidim_56 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? Wearing a mask when out in public? 0;1 0 = No; 1 = Yes
covidim_57 Integer Recommended Have you made any of the following changes to your lifestyle or daily activities because of COVID-19? Not ordering take out from restaurants? 0;1 0 = No; 1 = Yes
covidim_58 Integer Recommended How stressful did you find the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::4 1 = Not at all stressful; 2 = Somewhat stressful; 3 = Moderately stressful; 4 = Very successful
covidim_59 Integer Recommended Were you eating more in general or earing more processed food than usual in the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::4 1 = No, there were no changes, or I was eating slightly less than usual; 2 = Yes, I was eating slightly more than usual; 3 = Yes, I was eating more frequently or eating more processed foods than usual; 4 = Yes, I was eating much more frequently or eating a significantly less healthy diet
covidim_60 Integer Recommended Did your normal level of physical activity change in the initial period of the COVID-19 pandemic (March 1 to June 1, 2020)? 1::4 1 = No, I do not normally exercise; 2 = No, I exercised with the same frequency as I usually do; 3 = Yes, I did not exercise as regularly as usual; 4 = Yes, I did not exercise at all
covidim_61 Integer Recommended Is anyone in your household, other than you, living with a chronic disease (including chronic lung disease, diabetes, cardiovascular disease, chronic renal or liver disease)? 0;1 0 = No; 1 = Yes
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.