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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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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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Frailty and Activities Assessment

60 Shared Subjects

N/A
Clinical Assessments
Activity
04/30/2018
fca01
07/27/2018
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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 fss01 Integer Recommended Recent pain in wrist or any acute flare up in hand or wrist from conditions like arthritis, tendonitis or carpal tunnel syndrome? 1::3 1= Right hand or arm; 2= Left hand or arm; 3= Both hands or arms pain
Query fss02 Integer Recommended Surgery on hand or arms in the last 3 months? 1::3 1= Right hand or arm; 2= Left hand or arm; 3= Both hands or arms surgery
dom_hand String 5 Recommended Dominant hand R;L R = Right; L = Left dominanthand, fss03
Query fss04 Float Recommended Grip Strength Trial 1 (kg) trial1
Query fss05 Float Recommended Grip Strength Trial 2 (kg) trial2
Query fss06 Float Recommended Grip Strength Trial 3 (kg) trial3
Query fss07 Float Recommended Average Grip Strength (kg) _scoregripavg
fss09 String 255 Recommended Grip Strength comments gripcomments
Query fss10 Integer Recommended Does the participant use an assistive device for walking? If the response is "YES," please record the type of assistive device used. 0::7 0= No assistive device; 1= Wheelchair; 2= Walker; 3= Quad/tripod cane; 4= Crutches; 5= Standard cane; 6= White cane (has red band at the bottom, used by visually impaired persons); 7= Other (specify) walking1
gst3 String 25 Recommended Assistive device for walking. Other specify fss11, walking2_other
Query fss12 Float Recommended Usual Walking Speed Trial 1 (seconds) walking_trail1
Query fss13 Float Recommended Usual Walking Speed Trial 2 (seconds walking_trail2
Query fss14 Float Recommended Average Walk Speed (seconds) _scoregait
fss15 String 255 Recommended Usual Walking Speed Comments walking_comments
Query height_std Float Recommended Height - Standard Unit -1 = Not known; 999 = Missing fss16, height
weight String 50 Recommended weight -5=item seen but not answered; -999=data not submitted (incomplete)
Query fss18 Float Recommended Last Year Weight weight_last_year
Query fss19 Integer Recommended Does the participant report losing weight in the last year weight_loss
Query fss20 Float Recommended If yes, how much weight has the participant lost weight_loss_lbs
Query strf_waist Float Recommended waist circumference Inches fss21, waistcircum
Query fss22 Float Recommended Hip Circumference (inches) hipcircum
fss23 String 255 Recommended Height/Weight comments weight_height_comments
Query everything_effort Integer Recommended I felt that everything I did was an effort. 0::3;99;999 0 = Rarely or none of the time (less than 1 day); 1 = Some or a little of the time (1-2 days); 2 = Occasionally or a moderate amount of time (3-4 days); 3 = Most or all of the time (5-7 days); 99 = Prefer not to answer; 999= NA/NK/missing exhaustion1, fss24
Query couldnt_get_going Integer Recommended I could not get "going". 0::4;99;999;888;777;555 0 = Rarely or none of the time (less than 1 day); 1 = Some or a little of the time (1-2 days); 2 = Occasionally or a moderate amount of time (3-4 days); 3 = Most or all of the time (5-7 days); 4 = Nearly every day for 2 weeks; 99 = Prefer not to answer; 999= NA/NK/missing; 888 = Skipped ; 777 = Condition Skipped ; 555 = Missing exhaustion2, fss25
fss26 String 255 Recommended Comments about self-reported exhaustion exhaustion_comment
Query fss27 Integer Recommended Physical Activity: Walk for Exercise 0;1 0= No; 1= Yes activity_101
Query fss28 Integer Recommended How often in the last two weeks have you walked for exercise? activity_102
fss29 String 10 Recommended Hours spent walking for exercise in the last two weeks activity_103
Query fss30 Integer Recommended Months per year walking for exercise activity_105
Query fss31 Integer Recommended Physical Activity: Moderately strenuous household chores (scrubbing, etc.) 0;1 0= No; 1= Yes activity_201
Query fss32 Integer Recommended How often in the last two weeks have you done moderately strenuous household chores? activity_202
fss33 String 10 Recommended Hours spent doing moderately strenuous household chores in the last two weeks activity_203
Query fss34 Integer Recommended Months per year doing moderately strenuous household chores activity_205
Query fss35 Integer Recommended Physical Activity: Mow the lawn 0;1 0= No; 1= Yes activity_301
Query fss36 Integer Recommended How often in the last two weeks have you mowed the lawn? activity_302
fss37 String 10 Recommended Hours spent mowing the lawn in the last two weeks activity_303
Query fss38 Integer Recommended Months per year mowing the lawn activity_305
Query fss39 Integer Recommended Physical Activity: Rake the lawn 0;1 0= No; 1= Yes activity_401
Query fss40 Integer Recommended How often in the last two weeks have you raked the lawn? activity_402
fss41 String 10 Recommended Hours spent raking the lawn in the last two weeks activity_403
Query fss42 Integer Recommended Months per year raking the lawn activity_405
Query fss43 Integer Recommended Physical activity: Gardening 0;1 0= No; 1= Yes activity_501
Query fss44 Integer Recommended How often in the last two weeks have you gardened? activity_502
fss45 String 10 Recommended Hours spent gardening in the last two weeks activity_503
Query fss46 Integer Recommended Months per year gardening activity_505
Query fss47 Integer Recommended Physical Activity: Hiking 0;1 0= No; 1= Yes activity_601
Query fss48 Integer Recommended How often in the last two weeks have you gone hiking activity_602
fss49 String 10 Recommended Hours spent hiking in the past two weeks activity_603
Query fss50 Integer Recommended Months per year hiking activity_605
Query fss51 Integer Recommended Physical Activity: Jogging 0;1 0= No; 1= Yes activity_701
Query fss52 Integer Recommended How often in the last two weeks have you gone jogging activity_702
fss53 String 10 Recommended Hours spent jogging in the last two weeks activity_703
Query fss54 Integer Recommended Months per year jogging activity_705
Query fss55 Integer Recommended Physical Activity: Biking 0;1 0= No; 1= Yes activity_801
Query fss56 Integer Recommended How often in the last two weeks have you gone biking activity_802
fss57 String 10 Recommended Hours spent biking in the last two weeks activity_803
Query fss58 Integer Recommended Months per year biking activity_805
Query fss59 Integer Recommended Physical Activity: Exercise cycle 0;1 0= No; 1= Yes activity_901
Query fss60 Integer Recommended How often in the last two weeks have you used an exercise cycle activity_902
fss61 String 10 Recommended Hours spent using an exercise cycle in the last two weeks activity_903
Query fss62 Integer Recommended Months per year using an exercise cycle activity_905
Query fss63 Integer Recommended Physical Activity: Dancing 0;1 0= No; 1= Yes activity_1001
Query fss64 Integer Recommended How often in the last two weeks have you danced activity_1002
fss65 String 10 Recommended Hours spent dancing in the last two weeks activity_1003
Query fss66 Integer Recommended Months per year dancing activity_1005
Query fss67 Integer Recommended Physical Activity: Aerobics 0;1 0= No; 1= Yes activity_1101
Query fss68 Integer Recommended How often in the last two weeks have you done aerobics activity_1102
fss69 String 10 Recommended Hours spent doing aerobics in the last two weeks activity_1103
Query fss70 Integer Recommended Months per year doing aerobics activity_1105
Query fss71 Integer Recommended Physical Activity: Bowling 0;1 0= No; 1= Yes activity_1201
Query fss72 Integer Recommended How often in the last two weeks have you gone bowling activity_1202
fss73 String 10 Recommended Hours spent bowling in the last two weeks activity_1203
Query fss74 Integer Recommended Months per year bowling activity_1205
Query fss75 Integer Recommended Physical Activity: Golf 0;1 0= No; 1= Yes activity_1301
Query fss76 Integer Recommended How often in the last two weeks have you gone Golfing activity_1302
fss77 String 10 Recommended Hours spent Golfing in the last two weeks activity_1303
Query fss78 Integer Recommended Months per year Golfing activity_1305
Query fss79 Integer Recommended Physical Activity: Singles Tennis 0;1 0= No; 1= Yes activity_1401
Query fss80 Integer Recommended How often in the last two weeks have you played Singles Tennis activity_1402
fss81 String 10 Recommended Hours spent playing Singles tennis in the last two weeks activity_1403
Query fss82 Integer Recommended Months per year playing Singles Tennis activity_1405
Query fss83 Integer Recommended Physical Activity: Doubles tennis 0;1 0= No; 1= Yes activity_1501
Query fss84 Integer Recommended How often in the last two weeks have you played Doubles Tennis activity_1502
fss85 String 10 Recommended Hours spent playing Doubles Tennis in the last two weeks activity_1503
Query fss86 Integer Recommended Months per year playing Doubles Tennis activity_1505
Query fss87 Integer Recommended Physical Activity: Callisthenics/General Exercise 0;1 0= No; 1= Yes activity_1601
Query fss88 Integer Recommended How often in the last two weeks have you done Callisthenics/General Exercise? activity_1602
fss89 String 10 Recommended Hours spent doing Callisthenics/General Exercise in the last two weeks activity_1603
Query fss90 Integer Recommended Months per year doing Callisthenics/General Exercise activity_1605
Query fss91 Integer Recommended Physical Activity: Swimming 0;1 0= No; 1= Yes activity_1701
Query fss92 Integer Recommended How often in the last two weeks have you gone swimming activity_1702
fss93 String 10 Recommended Hours spent Swimming in the last two weeks activity_1703
Query fss94 Integer Recommended Months per year Swimming activity_1705
Query fss95 Integer Recommended Physical Activity: Raquetball 0;1 0= No; 1= Yes activity_1801
Query fss96 Integer Recommended How often in the last two weeks have you played Raquetball activity_1802
fss97 String 10 Recommended Hours spent playing Raquetball in the last two weeks activity_1803
Query fss98 Integer Recommended Months per year playing Raquetball activity_1805
Query fss99 Float Recommended Total burnt calories kcal/week _scorekcal
Query activity_104 Integer Recommended Minutes spent walking for exercise in the last two weeks
Query activity_204 Integer Recommended Minutes spent doing moderately strenuous household chores in the last two weeks
Query activity_304 Integer Recommended Minutes spent mowing the lawn in the last two weeks
Query activity_404 Integer Recommended Minutes spent raking the lawn in the last two weeks
Query activity_504 Integer Recommended Minutes spent gardening in the last two weeks
Query activity_604 Integer Recommended Minutes spent hiking in the past two weeks
Query activity_704 Integer Recommended Minutes spent jogging in the last two weeks
Query activity_804 Integer Recommended Minutes spent biking in the last two weeks
Query activity_904 Integer Recommended Minutes spent using an exercise cycle in the last two weeks
Query activity_1004 Integer Recommended Minutes spent dancing in the last two weeks
Query activity_1104 Integer Recommended Minutes spent doing aerobics in the last two weeks
Query activity_1204 Integer Recommended Minutes spent bowling in the last two weeks
Query activity_1304 Integer Recommended Minutes spent Golfing in the last two weeks
Query activity_1404 Integer Recommended Minutes spent playing Singles tennis in the last two weeks
Query activity_1504 Integer Recommended Minutes spent playing Doubles Tennis in the last two weeks
Query activity_1604 Integer Recommended Minutes spent doing Callisthenics/General Exercise in the last two weeks
Query activity_1704 Integer Recommended Minutes spent Swimming in the last two weeks
Query activity_1804 Integer Recommended Minutes spent playing Raquetball in the last two weeks
Query f_scoregripmax Float Recommended Maxiumum grip strength from three trials _scoregripmax
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.