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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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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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GEMS Activity Questionnaire

119 Shared Subjects

N/A
Clinical Assessments
Activity
10/14/2016
gems01
10/14/2016
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*
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 gender
Query site String 101 Recommended Site Study Site
Query week Float Recommended Week in level/study 99=week 10-week 14
Query rand_num Integer Recommended Randomization Number 0::2
Query daysrz Integer Recommended days since randomization
Query g1a_bike Integer Recommended GEMS1A: BICYCLING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g1b_bike Integer Recommended GEMS1B: BICYCLING, usually 0::2 0=none; 1=a little; 2=a lot
Query g2a_exercise Integer Recommended GEMS2A: EXERCISE, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g2b_exercise Integer Recommended GEMS2B: EXERCISE, usually 0::2 0=none; 1=a little; 2=a lot
Query g3a_climb Integer Recommended GEMS3A: CLIMB, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g3b_climb Integer Recommended GEMS3B: CLIMB, usually 0::2 0=none; 1=a little; 2=a lot
Query g4a_bball Integer Recommended GEMS4A: BASKETBALL, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g4b_bball Integer Recommended GEMS4B: BASKETBALL, usually 0::2 0=none; 1=a little; 2=a lot
Query g5a_baseball Integer Recommended GEMS5A: BASEBALL, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g5b_baseball Integer Recommended GEMS5B: BASEBALL, usually 0::2 0=none; 1=a little; 2=a lot
Query g6a_football Integer Recommended GEMS6A: FOOTBALL, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g6b_football Integer Recommended GEMS6B: FOOTBALL, usually 0::2 0=none; 1=a little; 2=a lot
Query g7a_soccer Integer Recommended GEMS7A: SOCCER, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g7b_soccer Integer Recommended GEMS7B: SOCCER, usually 0::2 0=none; 1=a little; 2=a lot
Query g8a_volleyball Integer Recommended GEMS8A: VOLLEYBALL, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g8b_volleyball Integer Recommended GEMS8B: VOLLEYBALL, usually 0::2 0=none; 1=a little; 2=a lot
Query g9a_racket Integer Recommended GEMS9A: RACKETBALL, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g9b_racket Integer Recommended GEMS9B: RACKETBALL, usually 0::2 0=none; 1=a little; 2=a lot
Query g10a_ballplay Integer Recommended GEMS10A: BALLPLAY, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g10b_ballplay Integer Recommended GEMS10B: BALLPLAY, usually 0::2 0=none; 1=a little; 2=a lot
Query g11a_games Integer Recommended GEMS11A: GAMES, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g11b_games Integer Recommended GEMS11B: GAMES, usually 0::2 0=none; 1=a little; 2=a lot
Query g12a_outdoor Integer Recommended GEMS12A: OUTDOOR, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g12b_outdoor Integer Recommended GEMS12B: OUTDOOR, usually 0::2 0=none; 1=a little; 2=a lot
Query g13a_waterplay Integer Recommended GEMS13A: WATERPLAY, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g13b_waterplay Integer Recommended GEMS13B: WATERPLAY, usually 0::2 0=none; 1=a little; 2=a lot
Query g14a_swimming Integer Recommended GEMS14A: SWIMMING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g14b_swimming Integer Recommended GEMS14B: SWIMMING, usually 0::2 0=none; 1=a little; 2=a lot
Query g15a_jumprope Integer Recommended GEMS15A: JUMP ROPE, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g15b_jumprope Integer Recommended GEMS15B: JUMP ROPE, usually 0::2 0=none; 1=a little; 2=a lot
Query g16a_dance Integer Recommended GEMS16A: DANCE, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g16b_dance Integer Recommended GEMS16B: DANCE, usually 0::2 0=none; 1=a little; 2=a lot
Query g17a_yardwork Integer Recommended GEMS17A: OUTDOOR CHORES, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g17b_yardwork Integer Recommended GEMS17B: OUTDOOR CHORES, usually 0::2 0=none; 1=a little; 2=a lot
Query g18a_indoorwork Integer Recommended GEMS18A: INDOOR CHORES, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g18b_indoorwork Integer Recommended GEMS18B: INDOOR CHORES, usually 0::2 0=none; 1=a little; 2=a lot
Query g19a_walkrun Integer Recommended GEMS19A: WALKING/RUNNING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g19b_walkrun Integer Recommended GEMS19B: WALKING/RUNNING, usually 0::2 0=none; 1=a little; 2=a lot
Query g20a_walk Integer Recommended GEMS20A: WALKING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g20b_walk Integer Recommended GEMS20B: WALKING, usually 0::2 0=none; 1=a little; 2=a lot
Query g21a_running Integer Recommended GEMS21A: RUNNING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g21b_running Integer Recommended GEMS21B: RUNNING, usually 0::2 0=none; 1=a little; 2=a lot
Query g22a_gymnast Integer Recommended GEMS22A: GYMNASTICS, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g22b_gymnast Integer Recommended GEMS22B: GYMNASTICS, usually 0::2 0=none; 1=a little; 2=a lot
Query g23a_skating Integer Recommended GEMS23A: SKATING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g23b_skating Integer Recommended GEMS23B: SKATING, usually 0::2 0=none; 1=a little; 2=a lot
Query g24a_hiking Integer Recommended GEMS24A: HIKING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g24b_hiking Integer Recommended GEMS24B: HIKING, usually 0::2 0=none; 1=a little; 2=a lot
Query g25a_weights Integer Recommended GEMS25A: WEIGHT LIFTING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g25b_weights Integer Recommended GEMS25B: WEIGHT LIFTING, usually 0::2 0=none; 1=a little; 2=a lot
Query g26a_martial Integer Recommended GEMS26A: MARTIAL ARTS, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g26b_martial Integer Recommended GEMS26B: MARTIAL ARTS, usually 0::2 0=none; 1=a little; 2=a lot
Query g27a_yoga Integer Recommended GEMS27A: YOGA, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g27b_yoga Integer Recommended GEMS27B: YOGA, usually 0::2 0=none; 1=a little; 2=a lot
Query g28a_cheer Integer Recommended GEMS28A: CHEERLEADING, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g28b_cheer Integer Recommended GEMS28B: CHEERLEADING, usually 0::2 0=none; 1=a little; 2=a lot
Query g29a_other Integer Recommended GEMS29A: OTHER, yesterday 0::2 0=none; 1=less than 15 minutes; 2=15 minutes or more
Query g29b_other Integer Recommended GEMS29B: OTHER, usually 0::2 0=none; 1=a little; 2=a lot
g29_s_other String 20 Recommended GEMS29: SPECIFY OTHER
Query g30y_watchtv Integer Recommended GEMS30: WATCH TV or VIDEOS, yesterday 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g31y_videogame Integer Recommended GEMS31: VIDEO GAMES, yesterday 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g32y_crafts Integer Recommended GEMS32: ARTS & CRAFTS, yesterday 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g33y_boardgames Integer Recommended GEMS33: BOARD GAMES, yesterday 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g34y_reading Integer Recommended GEMS34: HOMEWORK or READ, yesterday 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g35y_phonefrnds Integer Recommended GEMS35: PHONE or WITH FRIENDS, yesterday 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g36y_music Integer Recommended GEMS36: PLAY/LISTEN TO MUSIC, yesterday 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g37u_watchtv Integer Recommended GEMS37: WATCH TV or VIDEOS, usually 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g38u_videogame Integer Recommended GEMS38: VIDEO GAMES, usually 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g39u_crafts Integer Recommended GEMS39: ARTS & CRAFTS, usually 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g40u_boardgames Integer Recommended GEMS40: BOARD GAMES, usually 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g41u_reading Integer Recommended GEMS41: HOMEWORK or READ, usually 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g42u_phonefrnds Integer Recommended GEMS42: PHONE or WITH FRIENDS, usually 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query g43u_music Integer Recommended GEMS43: PLAY/LISTEN to MUSIC, usually 0::4 0=none; 1= less than 30 minutes; 2=30 min - 1 hour; 3=1-3 hours; 4=more than 3 hours
Query gmtot_ay Integer Recommended GEMS SUM: Activity Yesterday 0::58
Query gmtot_au Integer Recommended GEMS SUM: Activity Usually 0::58
Query gmtot_sy Integer Recommended GEMS SUM: Sedentary Yesterday 0::28
Query gmtot_su Integer Recommended GEMS SUM: Sedentary Usually 0::28
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.