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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.
Switch User

Food Choice Task

0 Shared Subjects

The Food Choice Task was adapted from the work of Hare et al., 2009 to include images with a greater range of caloric density and macronutrient content. The food items were chosen to be representative of a range of dietary choices, instead of emphasizing “junk foods” and “healthy snack foods,” as in the original task. In each of two blocks, 43 food items were presented on a computer screen, of which 25 were low-fat and 18 were high-fat (images and list of food items available in Supplemental Materials, image files available upon request). Items with greater than 30% of calories derived from fat were categorized as “high-fat.” In the first block, participants provided ratings of how healthy each of a series of images of food were; in the second block, the participants rated how tasty each image was. There was no time limit for responding. DOI: 10.1126/science.1168450
Clinical Assessments
Food
07/06/2022
fct01
07/12/2022
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
fct_1 Integer Recommended Health Block: Food 1 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_2 Integer Recommended Health Block: Food 2 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_3 Integer Recommended Health Block: Food 3 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_4 Integer Recommended Health Block: Food 4 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_5 Integer Recommended Health Block: Food 5 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_6 Integer Recommended Health Block: Food 6 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_7 Integer Recommended Health Block: Food 7 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_8 Integer Recommended Health Block: Food 8 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_9 Integer Recommended Health Block: Food 9 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_10 Integer Recommended Health Block: Food 10 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_11 Integer Recommended Health Block: Food 11 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_12 Integer Recommended Health Block: Food 12 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_13 Integer Recommended Health Block: Food 13 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_14 Integer Recommended Health Block: Food 14 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_15 Integer Recommended Health Block: Food 15 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_16 Integer Recommended Health Block: Food 16 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_17 Integer Recommended Health Block: Food 17 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_18 Integer Recommended Health Block: Food 18 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_19 Integer Recommended Health Block: Food 19 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_20 Integer Recommended Health Block: Food 20 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_21 Integer Recommended Health Block: Food 21 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_22 Integer Recommended Health Block: Food 22 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_23 Integer Recommended Health Block: Food 23 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_24 Integer Recommended Health Block: Food 24 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_25 Integer Recommended Health Block: Food 25 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_26 Integer Recommended Health Block: Food 26 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_27 Integer Recommended Health Block: Food 27 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_28 Integer Recommended Health Block: Food 28 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_29 Integer Recommended Health Block: Food 29 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_30 Integer Recommended Health Block: Food 30 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_31 Integer Recommended Health Block: Food 31 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_32 Integer Recommended Health Block: Food 32 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_33 Integer Recommended Health Block: Food 33 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_34 Integer Recommended Health Block: Food 34 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_35 Integer Recommended Health Block: Food 35 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_36 Integer Recommended Health Block: Food 36 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_37 Integer Recommended Health Block: Food 37 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_38 Integer Recommended Health Block: Food 38 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_39 Integer Recommended Health Block: Food 39 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_40 Integer Recommended Health Block: Food 40 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_41 Integer Recommended Health Block: Food 41 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_42 Integer Recommended Health Block: Food 42 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_43 Integer Recommended Health Block: Food 43 1::5 1 = Unhealthy; 2; 3 = Neutral; 4; 5 = Healthy
fct_44 Integer Recommended Taste Block: Food 1 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_45 Integer Recommended Taste Block: Food 2 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_46 Integer Recommended Taste Block: Food 3 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_47 Integer Recommended Taste Block: Food 4 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_48 Integer Recommended Taste Block: Food 5 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_49 Integer Recommended Taste Block: Food 6 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_50 Integer Recommended Taste Block: Food 7 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_51 Integer Recommended Taste Block: Food 8 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_52 Integer Recommended Taste Block: Food 9 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_53 Integer Recommended Taste Block: Food 10 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_54 Integer Recommended Taste Block: Food 11 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_55 Integer Recommended Taste Block: Food 12 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_56 Integer Recommended Taste Block: Food 13 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_57 Integer Recommended Taste Block: Food 14 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_58 Integer Recommended Taste Block: Food 15 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_59 Integer Recommended Taste Block: Food 16 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_60 Integer Recommended Taste Block: Food 17 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_61 Integer Recommended Taste Block: Food 18 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_62 Integer Recommended Taste Block: Food 19 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_63 Integer Recommended Taste Block: Food 20 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_64 Integer Recommended Taste Block: Food 21 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_65 Integer Recommended Taste Block: Food 22 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_66 Integer Recommended Taste Block: Food 23 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_67 Integer Recommended Taste Block: Food 24 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_68 Integer Recommended Taste Block: Food 25 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_69 Integer Recommended Taste Block: Food 26 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_70 Integer Recommended Taste Block: Food 27 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_71 Integer Recommended Taste Block: Food 28 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_72 Integer Recommended Taste Block: Food 29 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_73 Integer Recommended Taste Block: Food 30 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_74 Integer Recommended Taste Block: Food 31 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_75 Integer Recommended Taste Block: Food 32 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_76 Integer Recommended Taste Block: Food 33 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_77 Integer Recommended Taste Block: Food 34 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_78 Integer Recommended Taste Block: Food 35 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_79 Integer Recommended Taste Block: Food 36 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_80 Integer Recommended Taste Block: Food 37 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_81 Integer Recommended Taste Block: Food 38 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_82 Integer Recommended Taste Block: Food 39 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_83 Integer Recommended Taste Block: Food 40 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_84 Integer Recommended Taste Block: Food 41 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_85 Integer Recommended Taste Block: Food 42 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_86 Integer Recommended Taste Block: Food 43 1::5 1 = Bad; 2; 3 = Neutral; 4; 5 = Good
fct_87 Integer Recommended Choice Block: Food 1 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_88 Integer Recommended Choice Block: Food 2 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_89 Integer Recommended Choice Block: Food 3 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_90 Integer Recommended Choice Block: Food 4 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_91 Integer Recommended Choice Block: Food 5 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_92 Integer Recommended Choice Block: Food 6 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_93 Integer Recommended Choice Block: Food 7 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_94 Integer Recommended Choice Block: Food 8 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_95 Integer Recommended Choice Block: Food 9 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_96 Integer Recommended Choice Block: Food 10 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_97 Integer Recommended Choice Block: Food 11 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_98 Integer Recommended Choice Block: Food 12 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_99 Integer Recommended Choice Block: Food 13 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_100 Integer Recommended Choice Block: Food 14 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_101 Integer Recommended Choice Block: Food 15 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_102 Integer Recommended Choice Block: Food 16 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_103 Integer Recommended Choice Block: Food 17 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_104 Integer Recommended Choice Block: Food 18 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_105 Integer Recommended Choice Block: Food 19 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_106 Integer Recommended Choice Block: Food 20 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_107 Integer Recommended Choice Block: Food 21 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_108 Integer Recommended Choice Block: Food 22 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_109 Integer Recommended Choice Block: Food 23 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_110 Integer Recommended Choice Block: Food 24 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_111 Integer Recommended Choice Block: Food 25 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_112 Integer Recommended Choice Block: Food 26 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_113 Integer Recommended Choice Block: Food 27 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_114 Integer Recommended Choice Block: Food 28 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_115 Integer Recommended Choice Block: Food 29 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_116 Integer Recommended Choice Block: Food 30 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_117 Integer Recommended Choice Block: Food 31 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_118 Integer Recommended Choice Block: Food 32 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_119 Integer Recommended Choice Block: Food 33 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_120 Integer Recommended Choice Block: Food 34 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_121 Integer Recommended Choice Block: Food 35 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_122 Integer Recommended Choice Block: Food 36 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_123 Integer Recommended Choice Block: Food 37 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_124 Integer Recommended Choice Block: Food 38 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_125 Integer Recommended Choice Block: Food 39 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_126 Integer Recommended Choice Block: Food 40 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_127 Integer Recommended Choice Block: Food 41 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_128 Integer Recommended Choice Block: Food 42 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
fct_129 Integer Recommended Choice Block: Food 43 1::5 1 = No; 2; 3 = Neutral; 4; 5 = Yes
h_lo Float Recommended Mean ratings on Health trials - Low fat 0 :: 5 0 = Unhealthy; 5 = Healthy
h_hi Float Recommended Mean ratings on Health trials - High fat 0 :: 5 0 = Unhealthy; 5 = Healthy
t_lo Float Recommended Mean ratings on Taste trials - Low fat 0 :: 5 0 = Bad; 5 = Good
t_hi Float Recommended Mean ratings on Taste trials - High fat 0 :: 5 0 = Bad; 5 = Good
cho_noneut_lo Float Recommended Proportion of low fat food choices when neutral ratings are not included 0 :: 1.0
cho_noneut_hi Float Recommended Proportion of high fat food choices when neutral ratings are not included 0 :: 1.0
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.