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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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Munich ChronoType Questionnaire

2,235 Shared Subjects

N/A
Clinical Assessments
Questionnaire
11/21/2016
mctq01
03/28/2023
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 regsch Integer Recommended Work days: Do you have a regular work schedule? (this applies if you are a househusband / housewife or student, etc.)
0;1
1=Yes 0=No mctq_school_yn, munich01, munich_01
Query eo20 Integer Recommended How many days per week do/did you usually work dyflsch, mctq_school_days, munich02, munich_02
wkbed String 10 Recommended Bed time on workdays mctq_school1, munich03, munich_03
wkslp String 10 Recommended Sleep time on workdays mctq_school3, munich04, munich_04
Query wkmnslp Integer Recommended Work days: I need _ minutes to fall asleep 0::999 mctq_school4, munich05, munich_05
wkwakup String 10 Recommended Wake up time on workdays mctq_school5, munich06, munich_06
Query wkalarm Integer Recommended Wake up on workdays. With/Without Alarm Clock 1;2 1=With an Alarm Clock 2=Without an Alarm Clock mctq_school7
Query wkmnup Integer Recommended Wake up on workdays. After _ minutes I get up 0::999 mctq_school6, munich07, munich_07
Query wknap Integer Recommended Work days: If I get a chance, I like to take a siesta/nap 0;1 1=True; 0 = False
Query wkmnnap Integer Recommended Work days nap: I then sleep for _ minutes 0::999
frbed String 10 Recommended Bed time on free days mctq_free1, munich08, munich_10
frslp String 10 Recommended Sleep time on free days mctq_free3, munich09, munich_11
Query frmnslp Integer Recommended Free days: I need _ minutes to fall asleep 0::999 mctq_free4, munich10, munich_12
frwakup String 10 Recommended Wake up time on free days mctq_free5, munich11, munich_13
Query fralarm Integer Recommended Wake up on free days. With/Without Alarm Clock 1;2 1=With an Alarm Clock 2=Without an Alarm Clock mctq_free7
Query frmnup Integer Recommended Wake up on free days. After _minutes I get up 0::999 mctq_free6, munich12, munich_14
Query frnap Integer Recommended Free days. If I get a chance, I like to take a siesta/nap 0;1 1=True 0 = False
Query frmnnap Integer Recommended Free days nap. I then sleep for _ minutes 0::999
Query frprntslp Integer Recommended Is there anything that prevents you from freely choosing your sleep times (e.g., pets, children, etc.)?
0;1
1=Yes 0=No mctq_free8, munich13, munich_16
frprnts String 200 Recommended Is there anything that prevents you from freely choosing your sleep times. If yes please describe below mctq_free10, mctq_free9, munich14, munich_17
Query frdark Integer Recommended I prefer to sleep in a completely dark room. 0;1 1=Yes 0=No
Query frlight Integer Recommended I wake up more easily when morning light shines into my room. 0;1 1=Yes 0=No
Query wkhr Integer Recommended Wake up. On work days: (Hrs) 0::24
Query wkmn Integer Recommended Wake up. On work days: (min) 0::59
Query frhr Integer Recommended Wake up. On free days: (Hrs) 0::24
Query frmn Integer Recommended Wake up. On free days: (min) 0::59
Query present Integer Recommended Subject's punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query child_punct Integer Recommended Punctuality as child 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query teen_punct Integer Recommended Punctuality as teenager 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query mom_punct Integer Recommended Mother's punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query dad_punct Integer Recommended Father punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query numbro Integer Recommended How many brothers do you have?
Query bro1_punct Integer Recommended Brother1's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query bro2_punct Integer Recommended Brother2's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query bro3_punct Integer Recommended Brother3's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query bro4_punct Integer Recommended Brother4's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query bro5_punct Integer Recommended Brother5's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query bro6_punct Integer Recommended 30. Brother6's Punctuality 0::6 0=Extreme Early Type 1=Moderate Early Type 2=Slight Early Type 3=Normal Type 4=Slight Late Type 5=Moderate Late Type 6=Extreme Late Type
Query bro7_punct Integer Recommended Brother7's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query numsis Integer Recommended How many sisters do you have?
Query sis1_punct Integer Recommended Sister1's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query sis2_punct Integer Recommended Sister2's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query sis3_punct Integer Recommended Sister3's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query sis4_punct Integer Recommended Sister4's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query sis5_punct Integer Recommended Sister5's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query sis6_punct Integer Recommended Sister6's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query sis7_punct Integer Recommended Sister7's Punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
Query partner_punct Integer Recommended Partner's (girl/boy friend, spouse) punctuality 0::6 0=Extreme Early Type; 1=Moderate Early Type; 2=Slight Early Type; 3=Normal Type; 4=Slight Late Type; 5=Moderate Late Type; 6=Extreme Late Type
version_form String 121 Recommended Form used/assessment name
mctq_school8 Integer Recommended Past 4 weeks: School Days: If your alarm clock or parents wake you on school days: I regularly wake up BEFORE the alarm rings:
0;1
1 = Yes ; 0 = No
comqother String 255 Recommended Respondent - Other (text)
mctq_shift_worker Integer Recommended I have been a shift- or night-worker in the past three months 0;1 0=No; 1=Yes munich15, munich_18
munich_23 String 10 Recommended For the commute TO work I need ( ) hours and ( ) minutes.
munich_24 String 10 Recommended For the commute FROM work, I need ( ) hours and ( ) minutes
munich_25 String 10 Recommended On average, I spend the following amount of time outdoors in daylight (without a roof above my head) on work/school days. Please give answer in hours and minutes.
munich_26 String 10 Recommended On average, I spend the following amount of time outdoors in daylight (without a roof above my head) on free days. Please give answer in hours and minutes.
munich_27 Integer Recommended I drink ( ) cups of coffee per day.
munich_28 Integer Recommended I drink ( ) cups of coffee per week.
munich_29 Integer Recommended I drink ( ) cups of coffee per month.
munich_30 Integer Recommended I drink ( ) cups of black tea per day.
munich_31 Integer Recommended I drink ( ) cups of black tea per week.
munich_32 Integer Recommended I drink ( ) cups of black tea per month.
munich_33 Integer Recommended I drink ( ) cans of caffeinated drinks (soft-drinks) per day.
munich_34 Integer Recommended I drink ( ) cans of caffeinated drinks (soft-drinks) per week.
munich_35 Integer Recommended I drink ( ) cans of caffeinated drinks (soft-drinks) per month.
munich_08 Integer Recommended I use an alarm clock on work/school days. 0;1 0=No; 1=Yes
munich_09 Integer Recommended I regularly wake up BEFORE the alarm rings. 0;1 0=No; 1=Yes mctq_alarmwb4_t1
munich_15 Integer Recommended My wake up time is due to the use of an alarm clock. 0;1 0=No; 1=Yes
munich_19 String 10 Recommended My usual work schedule starts at ( ) o clock.
munich_20 String 10 Recommended My usual work schedule ends at ( ) o clock.
munich_21 Integer Recommended My work schedules are: 0::3 0= Very flexible, 1= A little flexible, 2= Rather inflexible, 3= Very inflexible
munich_22 Integer Recommended I travel to work. 0::2 0= Within an enclosed vehicle (e.g. car, bus, underground), 1= Not within an enclosed vehicle (e.g. on foot, by bike), 2= I work at home
work_bedtime_am_pm Integer Recommended Bed time on workdays: AM/PM 1;2 1=AM; 2=PM
work_sleeptime_am_pm Integer Recommended Sleep time on workdays: AM/PM 1;2 1=AM; 2=PM
work_wakeup_am_pm Integer Recommended Wake up time on workdays: AM/PM 1;2 1=AM; 2=PM
free_bedtime_am_pm Integer Recommended Bed time on free days: AM/PM 1;2 1=AM; 2=PM
free_sleeptime_am_pm Integer Recommended Sleep time on free days: AM/PM 1;2 1=AM; 2=PM
free_wakeup_am_pm Integer Recommended Wake up time on free days: AM/PM 1;2 1=AM; 2=PM
wkalarm_before Integer Recommended I regularly wake up before the alarm rings (on work days) 0;1 0 = No; 1 = Yes
respondent String 20 Recommended Respondent Mother;Father;Parent;Guardian;Teacher;Child;Self;Caregiver;Partner;Other
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.