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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 filter 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

  • What is a 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.
  • What do I do after filters are added to the Filter Cart?
    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.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    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.

Glossary

  • Workspace
    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.
  • 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 adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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Daily Inventory of Stressful Events

0 Shared Subjects

The Daily Inventory of Stressful Events (DISE) is an interview-based approach to the measurement of multiple aspects of daily stressors through daily interviews. The DISE consists of four components: a list of seven “stem” items that pertain to occurrences of stressful events in various life domains; a series of open-ended probe questions that ascertain a description of the stressful event; a question regarding the perceived severity of the stressor; and a list of structured primary appraisal questions, inquiring about goals and values that were “at risk” because of the event.
Clinical Assessments
Stress
05/11/2022
dise01
05/26/2022
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
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 subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported
dise_stressor Integer Recommended Which of the following types of stressors have you experienced since this time yesterday? 1::7 1=Argument or disagreement; 2=Could have argued, but decided to avoid; 3=Work or school related event; 4=Home related event; 5=Discrimination on the basis of such things as race, sex, age; 6=Close friend or relative related event; 7=Anything else
dise_when String 2,000 Recommended When did this stressful event happen?
dise_stress String 2,000 Recommended What happened during this stressful event, and what about it would most people consider stressful?
dise_past String 2,000 Recommended Have you had any problems with this stressful event in the past?
dise_howlong String 2,000 Recommended How long has this stressful event been going on?
dise_howoften String 2,000 Recommended Does this stressful event happen often?
dise_unusual String 2,000 Recommended Was there anything out of the ordinary in this stressful event?
dise_stress_severity Integer Recommended How stressful was this event for you? 1::4 1=Not at all stressful; 2=Not very stressful ; 3=Somewhat stressful; 4=Very stressful
dise_stress_app1 Integer Recommended How much did this stressful event risk disrupting your daily routine? 1::4 1=Not at all; 2=A little; 3=Some; 4=A lot
dise_stress_app2 Integer Recommended How much did this stressful event risk your financial situation? 1::4 1=Not at all; 2=A little; 3=Some; 4=A lot
dise_stress_app3 Integer Recommended How much did this stressful event risk the way you feel about yourself? 1::4 1=Not at all; 2=A little; 3=Some; 4=A lot
dise_stress_app4 Integer Recommended How much did this stressful event risk the way other people feel about you? 1::4 1=Not at all; 2=A little; 3=Some; 4=A lot
dise_stress_app5 Integer Recommended How much did this stressful event risk your physical health or safety? 1::4 1=Not at all; 2=A little; 3=Some; 4=A lot
dise_stress_app6 Integer Recommended How much did this stressful event risk the health or well-being of someone you care about? 1::4 1=Not at all; 2=A little; 3=Some; 4=A lot
dise_stress_app7 Integer Recommended How much did this stressful event risk your plans for the future? 1::4 1=Not at all; 2=A little; 3=Some; 4=A lot
dise_stressor1_1 Integer Recommended Think of the most stressful disagreement or argument you had since this time yesterday. Who was that with? 1::17; 99 1=Spouse or partner; 2=Child or grandchild; 3=Parent; 4=Sibling; 5=Other relative; 6=Friend; 7=Neighbor; 8=Coworker or fellow student; 9=Boss or teacher; 10=Employee or supervisee; 11=Stranger; 12=Religious group member; 13=Self-help group; 14= Client/Customer/Patient; 15=Groups; 16=Landlord or realtor; 17=Doctor/Nurse/Health Professional; 99=Other (specify)
dise_stressor1_1_other String 100 Recommended Think of the most stressful disagreement or argument you had since this time yesterday. Who was that with? Other, specify:
dise_stressor1_2 String 2,000 Recommended Think of the most stressful disagreement or argument you had since this time yesterday. What kinds of things were said?
dise_stressor2_1 Integer Recommended Think of the most stressful incident in which you could have argued about but you decided to let pass in order to avoid a disagreement. Who was the person you decided not to argue with? 1::17; 99 1=Spouse or partner; 2=Child or grandchild; 3=Parent; 4=Sibling; 5=Other relative; 6=Friend; 7=Neighbor; 8=Coworker or fellow student; 9=Boss or teacher; 10=Employee or supervisee; 11=Stranger; 12=Religious group member; 13=Self-help group; 14= Client/Customer/Patient; 15=Groups; 16=Landlord or realtor; 17=Doctor/Nurse/Health Professional; 99=Other (specify)
dise_stressor2_1_other String 100 Recommended Think of the most stressful incident in which you could have argued about but you decided to let pass in order to avoid a disagreement. Who was the person you decided not to argue with? Other, specify:
dise_stressor2_2 String 2,000 Recommended Think of the most stressful incident in which you could have argued about but you decided to let pass in order to avoid a disagreement. What happened and why did you decide not to get into an argument about it?
dise_stressor2_3 String 2,000 Recommended Think of the most stressful incident in which you could have argued about but you decided to let pass in order to avoid a disagreement. What kinds of things were said?
dise_stressor3_1 String 2,000 Recommended Think of the most stressful work or school related incident. How does this affect your job?
dise_stressor5_1 Integer Recommended Think of the most stressful incident in which you encountered discrimination. What was the basis for the discrimination you experienced? 1::4 1=Race; 2=Sex; 3=Age; 4=Something else
dise_stressor5_1_other String 100 Recommended Think of the most stressful incident in which you encountered discrimination. What was the basis for the discrimination you experienced? Something else, specify:
dise_stressor6_1 String 100 Recommended Think of the most stressful close friend or relative related incident. Who did this happen to?
dise_ds01_1 Integer Recommended Did you have any of the following physical symptoms today? Headache 0;1 0=No; 1=Yes
dise_ds01_2 Integer Recommended Did you have any of the following physical symptoms today? Backache 0;1 0=No; 1=Yes
dise_ds01_3 Integer Recommended Did you have any of the following physical symptoms today? Muscle soreness 0;1 0=No; 1=Yes
dise_ds01_4 Integer Recommended Did you have any of the following physical symptoms today? Fatigue 0;1 0=No; 1=Yes
dise_ds01_5 Integer Recommended Did you have any of the following physical symptoms today? Joint pain 0;1 0=No; 1=Yes
dise_ds01_6 Integer Recommended Did you have any of the following physical symptoms today? Muscle weakness 0;1 0=No; 1=Yes
dise_ds01_7 Integer Recommended Did you have any of the following physical symptoms today? Cough 0;1 0=No; 1=Yes
dise_ds01_8 Integer Recommended Did you have any of the following physical symptoms today? Sore throat 0;1 0=No; 1=Yes
dise_ds01_9 Integer Recommended Did you have any of the following physical symptoms today? Fever 0;1 0=No; 1=Yes
dise_ds01_10 Integer Recommended Did you have any of the following physical symptoms today? Chills 0;1 0=No; 1=Yes
dise_ds01_11 Integer Recommended Did you have any of the following physical symptoms today? Other cold and flu symptoms 0;1 0=No; 1=Yes
dise_ds01_12 Integer Recommended Did you have any of the following physical symptoms today? Nausea 0;1 0=No; 1=Yes
dise_ds01_13 Integer Recommended Did you have any of the following physical symptoms today? Allergies 0;1 0=No; 1=Yes
dise_ds01_14 Integer Recommended Did you have any of the following physical symptoms today? Diarrhea 0;1 0=No; 1=Yes
dise_ds01_15 Integer Recommended Did you have any of the following physical symptoms today? Constipation 0;1 0=No; 1=Yes
dise_ds01_16 Integer Recommended Did you have any of the following physical symptoms today? Poor appetite 0;1 0=No; 1=Yes
dise_ds01_17 Integer Recommended Did you have any of the following physical symptoms today? Other stomach problems 0;1 0=No; 1=Yes
dise_ds01_18 Integer Recommended Did you have any of the following physical symptoms today? Dizziness 0;1 0=No; 1=Yes
dise_ds01_19 Integer Recommended Did you have any of the following physical symptoms today? Shortness of breath or breathing difficulties 0;1 0=No; 1=Yes
dise_ds01_20 Integer Recommended Did you have any of the following physical symptoms today? Menstrual-related symptoms such as cramps, bloating, breast tenderness 0;1 0=No; 1=Yes
dise_ds01_21 Integer Recommended Did you have any of the following physical symptoms today? Hot flashes or flushes 0;1 0=No; 1=Yes
dise_ds01_22 Integer Recommended Did you have any of the following physical symptoms today? Chest pain 0;1 0=No; 1=Yes
dise_ds01_23 Integer Recommended Did you have any of the following physical symptoms today? Other 0;1 0=No; 1=Yes
dise_ds02 Integer Recommended How much of the time today did you feel restless or fidgety? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds03 Integer Recommended How much of the time today did you feel nervous? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds04 Integer Recommended How much of the time today did you feel worthless? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds05 Integer Recommended How much of the time today were you so sad nothing could cheer you up? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds06 Integer Recommended How much of the time today did you feel that everything was an effort? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds07 Integer Recommended How much of the time today did you feel hopeless? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds08 Integer Recommended How much of the time today did you feel lonely? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds09 Integer Recommended How much of the time today did you feel afraid? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds10 Integer Recommended How much of the time today did you feel jittery? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds11 Integer Recommended How much of the time today did you feel irritable? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds12 Integer Recommended How much of the time today did you feel ashamed? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds13 Integer Recommended How much of the time today did you feel upset? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds14 Integer Recommended How much of the time today did you feel angry? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds15 Integer Recommended How much of the time today did you feel frustrated? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds16 Integer Recommended How much of the time today did you feel in good spirits? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds17 Integer Recommended How much of the time today did you feel cheerful? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds18 Integer Recommended How much of the time today did you feel extremely happy? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds19 Integer Recommended How much of the time today did you feel calm and peaceful? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds20 Integer Recommended How much of the time today did you feel satisfied? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds21 Integer Recommended How much of the time today did you feel full of life? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds22 Integer Recommended How much of the time today did you feel close to others? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds23 Integer Recommended How much of the time today did you feel like you belong? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds24 Integer Recommended How much of the time today did you feel enthusiastic? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds25 Integer Recommended How much of the time today did you feel attentive? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds26 Integer Recommended How much of the time today did you feel proud? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds27 Integer Recommended How much of the time today did you feel active? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds28 Integer Recommended How much of the time today did you feel confident? 0::4 0=None of the time; 1=A little of the time; 2=Some of the time; 3=Most of the time; 4=All the time
dise_ds_nascore Float Recommended Negative affect score 0::4
dise_ds_pascore Float Recommended Positive affect score 0::4
dise_ds_angry Integer Recommended During this event, how angry were you feeling? 1::4 1=Very; 2=Somewhat; 3=Not very; 4=Not at all
dise_ds_nervous Integer Recommended During this event, how nervous or anxious were you feeling? 1::4 1=Very; 2=Somewhat; 3=Not very; 4=Not at all
dise_ds_sad Integer Recommended During this event, how sad were you feeling? 1::4 1=Very; 2=Somewhat; 3=Not very; 4=Not at all
dise_ds_shame Integer Recommended During this event, how shameful were you feeling? 1::4 1=Very; 2=Somewhat; 3=Not very; 4=Not at all
dise_ds_control Integer Recommended During this event, how much control did you have over the situation? 1::4 1=A lot; 2=Some; 3=A little; 4=None at all
dise_ds_resolved Integer Recommended Is the issue resolved? 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.