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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.

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NIMH Data Archive
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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).

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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Eysenck Scale for Impulsiveness, Venturesomeness and Empathy

1,223 Shared Subjects

N/A
Clinical Assessments
Personality
10/05/2016
eysenck01
01/13/2022
View Change History
01
Definition
Submission Template
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* nimhid
src_subject_id String 20 Required Subject ID how it's defined in lab/project ptid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY testdate
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
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query visit String 60 Recommended Visit name visitnum
Query eysenck1 Integer Recommended 1. Would you enjoy water skiing? 0;1 1=True; 0=False
Query eysenck2 Integer Recommended 2. Usually do you prefer to stick to brands you know are reliable, to trying new ones on the chance of finding something better? 0;1 1=True; 0=False
Query eysenck3 Integer Recommended 3. Would you feel sorry for a lonely stranger? 0;1 1=True; 0=False
Query eysenck4 Integer Recommended 4. Do you quite enjoy taking risks? 0;1 1=True; 0=False rt18_4
Query eysenck5 Integer Recommended 5. Do you often get emotionally involved in with your friends' problems 0;1 1=True; 0=False
Query eysenck6 Integer Recommended 6. Would you enjoy parachute jumping? 0;1 1=True; 0=False rt18_5
Query eysenck7 Integer Recommended 7. Do you often buy things on impulse? 0;1 1=True; 0=False
Query eysenck8 Integer Recommended 8. Do unhappy people who are sorry for themselves irritate you? 0;1 1=True; 0=False
Query eysenck9 Integer Recommended 9. Do you generally do and say things without stopping to think? 0;1 1=True; 0=False
Query eysenck10 Integer Recommended 10. Are you inclined to get nervous when others around you seem to be nervous? 0;1 1=True; 0=False
Query eysenck11 Integer Recommended 11. Do you often get into a jam because you do things without thinking? 0;1 1=True; 0=False rt18_1
Query eysenck12 Integer Recommended 12. Do you think hitch-hiking is too dangerous a way to travel? 0;1 1=True; 0=False
Query eysenck13 Integer Recommended 13. Do you find it silly for people to cry out of happiness? 0;1 1=True; 0=False
Query eysenck14 Integer Recommended 14. Do you like diving off the highborard? 0;1 1=True; 0=False
Query eysenck15 Integer Recommended 15. Do people you are with have a strong influence on your moods? 0;1 1=True; 0=False
Query eysenck16 Integer Recommended 16. Are you an impulsive person? 0;1 1=True; 0=False
Query eysenck17 Integer Recommended 17. Do you welcome new and exciting experiences and sensations, even if they are a little frightening and unconventional? 0;1 1=True; 0=False rt18_6
Query eysenck18 Integer Recommended 18. Does it affect you very much when one of you friends seems upset? 0;1 1=True; 0=False
Query eysenck19 Integer Recommended 19. Do you usually think carefully before doing anything? 0;1 1=True; 0=False rt18_2
Query eysenck20 Integer Recommended 20. Would you like to learn to fly an aeroplane? 0;1 1=True; 0=False
Query eysenck21 Integer Recommended 21. Do you ever get deeply involved with the feeling of a character in a film, play or novel? 0;1 1=True; 0=False
Query eysenck22 Integer Recommended 22. Do you often do things on the spur of the moment 0;1 1=True; 0=False
Query eysenck23 Integer Recommended 23. Do you get very upset when you see someone cry? 0;1 1=True; 0=False
Query eysenck24 Integer Recommended 24. Do you sometimes find someone else's laughter catching? 0;1 1=True; 0=False
Query eysenck25 Integer Recommended 25. Do you mostly speak without thinking things out? 0;1 1=True; 0=False rt18_3
Query eysenck26 Integer Recommended 26. Do you often get involved in things you later wish you could get out of? 0;1 1=True; 0=False
Query eysenck27 Integer Recommended 27. Do you get so 'carried away' by new and exciting ideas, that you never think of possible snags? 0;1 1=True; 0=False
Query eysenck28 Integer Recommended 28. Do you find it hard to understand people who risk their necks climbing mountains? 0;1 1=True; 0=False
Query eysenck29 Integer Recommended 29. Can you make decisions without worrying about other people's feelings? 0;1 1=True; 0=False
Query eysenck30 Integer Recommended 30. Do you sometimes like doing things that are a bit frightening? 0;1 1=True; 0=False rt18_15
Query eysenck31 Integer Recommended 31. Do you need to use a lot of self-control to keep out of trouble? 0;1 1=True; 0=False
Query eysenck32 Integer Recommended 32. Do you become more irritated than sympathetic when you see someone cry? 0;1 1=True; 0=False
Query eysenck33 Integer Recommended 33. Would you agree that almost everything enjoyable is illegal or immoral? 0;1 1=True; 0=False
Query eysenck34 Integer Recommended 34. Generally do you prefer to enter cold sea water gradually, to diving or jumping straight in? 0;1 1=True; 0=False
Query eysenck35 Integer Recommended 35. Are you often surprised at people's reactions to what you do or say? 0;1 1=True; 0=False
Query eysenck36 Integer Recommended 36. Would you enjoy the sensation of skiing very fast down a high mountain slope? 0;1 1=True; 0=False
Query eysenck37 Integer Recommended 37. Do you like watching people open presents? 0;1 1=True; 0=False
Query eysenck38 Integer Recommended 38. Do you think an evening out is more successful if it is unplanned or arranged at the last moment? 0;1 1=True; 0=False
Query eysenck39 Integer Recommended 39. Would you like to go scuba diving? 0;1 1=True; 0=False
Query eysenck40 Integer Recommended 40. Would you find it very hard to break bad news to someone? 0;1 1=True; 0=False
Query eysenck41 Integer Recommended 41. Would you enjoy fast driving? 0;1 1=True; 0=False
Query eysenck42 Integer Recommended 42. Do you usually work quickly, without bothering to check? 0;1 1=True; 0=False
Query eysenck43 Integer Recommended 43. Do you often change your interests? 0;1 1=True; 0=False
Query eysenck44 Integer Recommended 44. Before making up your mind, do you consider all the advantages and disadvantages? 0;1 1=True; 0=False
Query eysenck45 Integer Recommended 45. Can you get very interested in your friends' problems? 0;1 1=True; 0=False
Query eysenck46 Integer Recommended 46. Would you like to go pot-holing? 0;1 1=True; 0=False
Query eysenck47 Integer Recommended 47. Would you be put off a job involving quite a bit of danger? 0;1 1=True; 0=False
Query eysenck48 Integer Recommended 48. Do you prefer to 'sleep on it' before making decisions? 0;1 1=True; 0=False
Query eysenck49 Integer Recommended 49. When people shout at you, do you shout back? 0;1 1=True; 0=False
Query eysenck50 Integer Recommended 50. Do you feel sorry for very shy people? 0;1 1=True; 0=False
Query eysenck51 Integer Recommended 51. Are you happy when you are with a cheerful group and sad when the others are glum? 0;1 1=True; 0=False
Query eysenck52 Integer Recommended 52. Do you usually make up your mind quickly? 0;1 1=True; 0=False
Query eysenck53 Integer Recommended 53. Can you imagine what it must be like to be very lonely? 0;1 1=True; 0=False
Query eysenck54 Integer Recommended 54. Does it worry you when others are worrying and panicky? 0;1 1=True; 0=False
Query scorei Integer Recommended Impulsiveness Summary Score
Query scorev Integer Recommended Venturesomeness Summary Score
Query scoreem Integer Recommended Empathy Summary Score scoree
Query jun_eysenck2 Integer Recommended Do you sometimes get so restless that you cannot sit in a chair long? 0;1 1=True; 0=False
Query jun_eysenck3 Integer Recommended Do you often long for excitement? 0;1 1=True; 0=False
Query jun_eysenck7 Integer Recommended Would you like to be a pop star? 0;1 1=True; 0=False
Query jun_eysenck9 Integer Recommended Do you save regularly? 0;1 1=True; 0=False
Query jun_eysenck11 Integer Recommended Do you think that people are too bothered about the feelings of animals? 0;1 1=True; 0=False
Query jun_eysenck13 Integer Recommended Would you prefer an exciting job involving travel and adventure to a more safe secure one? 0;1 1=True; 0=False
Query jun_eysenck16 Integer Recommended Would you like to run an adventure playground? 0;1 1=True; 0=False
Query jun_eysenck19 Integer Recommended Would you enjoy gambling? 0;1 1=True; 0=False
Query jun_eysenck31 Integer Recommended When the odds are against you, do you still usually think it worth taking a chance? 0;1 1=True; 0=False
Query jun_eysenck33 Integer Recommended Do you sometimes break rules on the spur of the moment? 0;1 1=True; 0=False
Query jun_eysenck34 Integer Recommended Do you go very carefully when you are in unusual situations9 0;1 1=True; 0=False
Query jun_eysenck35 Integer Recommended Does it make you laugh when you see others in your group laughing? 0;1 1=True; 0=False
Query jun_eysenck37 Integer Recommended At a fairground, would you prefer to play darts and see sideshows to going on the big dipper and the dodgem cars? 0;1 1=True; 0=False
Query jun_eysenck41 Integer Recommended When a friend starts talking about his or her problems, do you try to change the subject? 0;1 1=True; 0=False
Query jun_eysenck45 Integer Recommended Db you get bored more easily than most people, doing the same old things9 0;1 1=True; 0=False
Query jun_eysenck46 Integer Recommended Would you like to travel to exciting places? 0;1 1=True; 0=False
Query jun_eysenck47 Integer Recommended Can you understand why some people get upset so easily? 0;1 1=True; 0=False
Query jun_eysenck52 Integer Recommended Would life with no danger in it be too dull for you? 0;1 1=True; 0=False
Query jun_eysenck53 Integer Recommended Do you feel more annoyed than sorry for someone who is crying? 0;1 1=True; 0=False
Query jun_eysenck55 Integer Recommended Do you prefer getting into a swimming pool slowly to diving straight in? 0;1 1=True; 0=False
Query jun_eysenck57 Integer Recommended Do you get very annoyed if someone keeps you waiting? 0;1 1=True; 0=False
Query jun_eysenck63 Integer Recommended Do you get very restless if you have to stay around home for any length of time? 0;1 1=True; 0=False
Query jun_eysenck64 Integer Recommended Do you prefer quiet holidays to exciting adventurous ones? 0;1 1=True; 0=False
Query jun_eysenck65 Integer Recommended Can you imagine the sadness someone would feel if their pet suddenly died? 0;1 1=True; 0=False
Query jun_eysenck66 Integer Recommended Are you very keen on sport? 0;1 1=True; 0=False
Query jun_eysenck67 Integer Recommended When you watch a favourite TV program, can you feel with the hero or heroine, when they are sad, happy or angry? 0;1 1=True; 0=False
Query jun_eysenck68 Integer Recommended Do you like a lot of ketchup and pickles with your food? 0;1 1=True; 0=False
Query jun_eysenck70 Integer Recommended Would deep sea diving appeal to you? 0;1 1=True; 0=False
Query jun_eysenck71 Integer Recommended Do you think it is stupid to think animals have the same sort of feelings as we have? 0;1 1=True; 0=False
Query jun_eysenck72 Integer Recommended Do you sometimes put down the first answer that comes into your head, during a test and forget to check it later? 0;1 1=True; 0=False
Query jun_eysenck73 Integer Recommended Do you find it hard to give advice to your friends when they ask for it? 0;1 1=True; 0=False
Query jun_eysenck75 Integer Recommended Do you feel very sorry for children who get bullied a lot? 0;1 1=True; 0=False
Query jun_eysenck76 Integer Recommended Would or do you enjoy going to discos? 0;1 1=True; 0=False
rt18_14 Integer Recommended I enjoy getting into new situtations where you can't predict how things will turn out 0;1 0=No; 1= Yes
rt18_16 Integer Recommended I sometimes do crazy things just for fun 0;1 0=No; 1= Yes
rt18_17 Integer Recommended I prefer friends who are excitingly unpredictable 0;1 0=No; 1= Yes
rt18_18 Integer Recommended I like wild, uninhibited parties 0;1 0=No; 1= Yes
rt18_7 Integer Recommended I often try new things just for fun or thrills, even if most people think it is a waste of time 0;1 0=No; 1= Yes
rt18_8 Integer Recommended I often spend money until I run out of cash or get into deby from using too much credit 0;1 0=No; 1= Yes
rt18_9 Integer Recommended I like to think about things for a long time before I make a decision 0;1 0=No; 1= Yes
rt18_10 Integer Recommended I usually think about all the fact in detail before I make a decision 0;1 0=No; 1= Yes
rt18_11 Integer Recommended I enjoy saving money more than spending it on enterainment or thrills 0;1 0=No; 1= Yes
rt18_12 Integer Recommended I often follow my instincts, hunches, or intuition without thinking through all the details 0;1 0=No; 1= Yes
rt18_13 Integer Recommended I often do things on impulse 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.