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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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Dietary Questionnaire

560 Shared Subjects

N/A
Clinical Assessments
Food
12/15/2014
dq01
09/16/2021
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 record_id, stepid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY v10_bdq_date, v2_bdq_date, v3_bdq_date, v4_bdq_date, v5_bdq_date, v6_bdq_date, v7_bdq_date, v8_bdq_date, v9_bdq_date
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. v10_bdq_age, v2_bdq_age, v3_bdq_age, v4_bdq_age, v5_bdq_age, v6_bdq_age, v7_bdq_age, v8_bdq_age, v9_bdq_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 daysrz Integer Recommended days since randomization
Query visit String 60 Recommended Visit name o3visit
Query eggyolks Integer Recommended consumption egg yolks over past 4 weeks 0;1 0=Never or less than 5 per week; 1=5 or more per week
Query poultry Integer Recommended poultry consumption over past 4 weeks 0::2 0=0-4 per week; 1=5-9 per week; 2=10 or more per week
Query shelfish Integer Recommended shellfish consumption over past 4 weeks 0::2 0=0-3 per month; 1=1-2 per week; 2=3 or more per week
Query othfish Integer Recommended other fish consump over past 4 weeks 0::3 0=Never or less than 1 per month; 1=1-3 per month; 2=1-2 per week; 3=3 or more per week
Query livers Integer Recommended liver consumption over past 4 weeks 0::3 0=Never or less than 1 per month; 1=1-3 per month; 2=1-2 per week; 3=3 or more per week
Query site String 101 Recommended Site Study Site site_id, siteid
Query diet_participant_attendance Integer Recommended Participant show up for appointment? 0;1 0=Yes; 1=No
Query diet_diary_complete Integer Recommended Diary complete? 0;1 0=Yes; 1=No
Query diet_food_pickup Integer Recommended Food pick up? 0;1 0=Yes; 1=No
ae String 4,000 Recommended Adverse event Description adverse_events
Query diet_compliance Integer Recommended Diet Compliance 1::5 1=Excellent; 5=Poor
Query meat Integer Recommended Eat red meat 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_1meat, v2_bdq_1meat, v3_bdq_1meat, v4_bdq_1meat, v5_bdq_1meat, v6_bdq_1meat, v7_bdq_1meat, v8_bdq_1meat, v9_bdq_1meat
Query sweetbeverage Integer Recommended Drink sweetened beverages 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_2sweetbeverage, v2_bdq_2sweetbeverage, v3_bdq_2sweetbeverage, v4_bdq_2sweetbeverage, v5_bdq_2sweetbeverage, v6_bdq_2sweetbeverage, v7_bdq_2sweetbeverage, v8_bdq_2sweetbeverage, v9_bdq_2sweetbeverage
Query refinedsugar Integer Recommended Eat refined sugar 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_3refinedsugar, v2_bdq_3refinedsugar, v3_bdq_3refinedsugar, v4_bdq_3refinedsugar, v5_bdq_3refinedsugar, v6_bdq_3refinedsugar, v7_bdq_3refinedsugar, v8_bdq_3refinedsugar, v9_bdq_3refinedsugar
Query fruitveggie Integer Recommended Eat fruits and vegetables 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_4fruitveggie, v2_bdq_4fruitveggie, v3_bdq_4fruitveggie, v4_bdq_4fruitveggie, v5_bdq_4fruitveggie, v6_bdq_4fruitveggie, v7_bdq_4fruitveggie, v8_bdq_4fruitveggie, v9_bdq_4fruitveggie
Query multivitamin Integer Recommended Take multivitamins 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_5multivitamin, v2_bdq_5multivitamin, v3_bdq_5multivitamin, v4_bdq_5multivitamin, v5_bdq_5multivitamin, v6_bdq_5multivitamin, v7_bdq_5multivitamin, v8_bdq_5multivitamin, v9_bdq_5multivitamin
medication_name String 255 Recommended Name of medication
medication2_name String 500 Recommended Name second medication that the participant has taken 0 = No medication; 999= Legitimately skipped
medication3_name String 500 Recommended Name third medication that the participant has taken 0 = No medication; 999= Legitimately skipped
medication4_name String 500 Recommended Name fourth medication that the participant has taken 0 = No medication; 999= Legitimately skipped
medication_5_name String 50 Recommended specify med 5
medication_6_name String 50 Recommended specify med 6
medication_7_name String 50 Recommended specify med 7
medication_8_name String 50 Recommended specify med 8
Query saliva_foods Integer Recommended What foods and drinks did you have after 7pm the night prior or the day of providing the samples? 1::8 1= No Problematic Foods; 2= Foods containing caffeine or xanthenes; 3= Alcohol; 4= Dairy Products; 5= 2and3; 6= 2and4; 7= 3and4; 8= 2and3and4
saliva_bedtime String 5 Recommended What time did you go to bed the night prior to providing the samples and what time did you get up this morning? Bedtime: 24 hr clock hh:mm
saliva_wakeup String 5 Recommended What time did you go to bed the night prior to providing the samples and what time did you get up this morning? Wake-Up: 24 hr clock hh:mm
Query saliva_smk Integer Recommended Did you smoke prior to sample? 0;1 0=No; 1=Yes
Query saliva_exrcs Integer Recommended Any aerobic or weight exercises prior to sample? 0;1 0=No; 1=Yes
saliva1_time String 5 Recommended Time sample 1 was taken 24 hr clock hh:mm
saliva2_time String 5 Recommended Time sample 2 was taken 24 hr clock hh:mm
Query saliva_prescr Integer Recommended How many different prescriptions for aniphsychotics, antidepressants or stimulants were taken in the 24 hours prior to providing any samples? Please specify 0::5 5= Greater than 4
version_form String 121 Recommended Form used/assessment name
dsq_4 Integer Recommended During the past month, how often did you drink 100% pure fruit juices such as orange, mango, apple, grape and pineapple juices? Do NOT include fruit?-flavored drinks with added sugar or fruit juice you made at home and added sugar to. 0::10 0 =Never ; 1 = 1 time last month ; 2 = 2-3 times last month ; 3 = 1 time per week ; 4 = 2 times per week ; 5 = 3-4 times per week ; 6 = 5-6 times per week ; 7 = 1 time per day ; 8 = 2-3 times per day ; 9 = 4-5 times per day ; 10 = 6 or more times per day dsq08
dsq_5 Integer Recommended During the past month, how often did you drink coffee or tea that had sugar or honey added to it? Include coffee and tea you sweetened yourself and presweetened tea and coffee drinks such as Arizona Iced Tea and Frappuccino. Do NOT include artificially sweetened coffee or diet tea. 0::10 0 =Never ; 1 = 1 time last month ; 2 = 2-3 times last month ; 3 = 1 time per week ; 4 = 2 times per week ; 5 = 3-4 times per week ; 6 = 5-6 times per week ; 7 = 1 time per day ; 8 = 2-3 times per day ; 9 = 4-5 times per day ; 10 = 6 or more times per day dsq09
dsq_6 Integer Recommended During the past month, how often did you drink sweetened fruit drinks, sports or energy drinks, such as Kool?Aid, lemonade, Hi?C, cranberry drink, Gatorade, Red Bull or Vitamin Water? Include fruit juices you made at home and added sugar to. Do NOT include diet drinks or artificially sweetened drinks. 0::10 0 =Never ; 1 = 1 time last month ; 2 = 2-3 times last month ; 3 = 1 time per week ; 4 = 2 times per week ; 5 = 3-4 times per week ; 6 = 5-6 times per week ; 7 = 1 time per day ; 8 = 2-3 times per day ; 9 = 4-5 times per day ; 10 = 6 or more times per day dsq10
dsq_7 Integer Recommended During the past month, how often did you eat fruit? Include fresh, frozen or canned fruit. Do NOT include juices. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq11
dsq_8 Integer Recommended During the past month, how often did you eat a green leafy or lettuce salad, with or without other vegetables? 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq12
dsq_9 Integer Recommended During the past month, how often did you eat any kind of fried potatoes, including french fries, home fries, or hash brown potatoes? 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq13
dsq_10 Integer Recommended During the past month, how often did you eat any other kind of potatoes, such as baked, boiled, mashed potatoes, sweet potatoes, or potato salad? 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq14
dsq_11 Integer Recommended During the past month, how often did you eat refried beans, baked beans, beans in soup, pork and beans or any other type of cooked dried beans? Do NOT include green beans. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq15
dsq_12 Integer Recommended During the past month, how often did you eat brown rice or other cooked whole grains, such as bulgur, cracked wheat, or millet? Do NOT include white rice. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq16
dsq_13 Integer Recommended During the past month, not including what you just told me about (green salads, potatoes, cooked dried beans), how often did you eat other vegetables? 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq17
dsq_14 Integer Recommended During the past month, how often did you have Mexican?-type salsa made with tomato? 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq18
dsq_15 Integer Recommended During the past month, how often did you eat pizza? Include frozen pizza, fast food pizza, and homemade pizza. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq19
dsq_16 Integer Recommended During the past month, how often did you have tomato sauces such as with spaghetti or noodles or mixed into foods such as lasagna? Do NOT include tomato sauce on pizza. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq20
dsq_17 Integer Recommended During the past month, how often did you eat any kind of cheese? Include cheese as a snack, cheese on burgers, sandwiches, and cheese in foods such as lasagna, quesadillas, or casseroles. Do NOT include cheese on pizza. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq21
dsq_18 Integer Recommended During the past month, how often did you eat red meat, such as beef, pork, ham or sausage? Do NOT include chicken, turkey or seafood. Include red meat you had in sandwiches, lasagna, stew, and other mixtures. Red meats may also include veal, lamb, and any lunch meats made with these meats 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq22
dsq_19 Integer Recommended During the past month, how often did you eat any processed meat, such as bacon, lunch meats, or hot dogs? Include processed meats you had in sandwiches, soups, pizza, casseroles, and other mixtures. ; ; Processed meats are those preserved by smoking, curing, or salting, or by the addition of preservatives. Examples are: ham, bacon, pastrami, salami, sausages, bratwursts, frankfurters, hot dogs, and spam. ; 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq23
dsq_20 Integer Recommended During the past month, how often did you eat whole grain bread including toast, rolls and in sandwiches? Whole grain breads include whole wheat, rye, oatmeal and pumpernickel. Do NOT include white bread. ; 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq24
dsq_21 Integer Recommended During the past month, how often did you eat chocolate or any other types of candy? Do NOT include sugar?-free candy. ; 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq25
dsq_22 Integer Recommended During the past month, how often did you eat doughnuts, sweet rolls, Danish, muffins, pan dulce, or pop-?tarts? Do NOT include sugar-?free items. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq26
dsq_23 Integer Recommended During the past month, how often did you eat cookies, cake, pie or brownies? Do NOT include sugar?-free kinds. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq27
dsq_1 Integer Recommended During the past month, how often did you eat hot or cold cereals? 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq01
dsq_24 Integer Recommended During the past month, how often did you eat ice cream or other frozen desserts? Do NOT include sugar?-free kinds. 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq28
dsq_25 Integer Recommended During the past month, how often did you eat popcorn? 0::10 0= Never, 1= 1 time last month, 2= 2-3 times last month, 3= 1 time per week, 4= 2 times per week, 5= 3-4 times per week, 6= 5-6 times per week, 7= 1 time per day, 8= 2 or more times per day, 9= 4-5 times per day, 10= 6 or more times per day dsq29
dsq_1a String 100 Recommended During the past month, what kind of cereal did you usually eat? (Name cereal). dsq02
dsq_1b String 80 Recommended If there was another kind of cereal that you usually ate during the past month, what kind was it? (Name cereal, if none type none). dsq03
dsq_2 Integer Recommended During the past month, how often did you have any milk (either to drink or on cereal)? Include regular milks, chocolate or other flavored milks, lactose?-free milk, buttermilk. Please do NOT include soy milk or small amounts of milk in coffee or tea. 0::10 0 = Never ; 1 = 1 time last month ; 2 = 2-3 times last month ; 3 = 1 time per week ; 4 = 2 times per week ; 5 = 3-4 times per week ; 6 = 5-6times per week ; 7 = 1 time per day ; 8 = 2-3 times per day ; 9 = 4-5 times per day ; 10 = 6 or more times per day dsq04
dsq_2a Integer Recommended During the past month, what kind of milk did you usually drink? 1::6 1 = Whole or regular milk ; 2 = 2% fat or reduced-fat milk ; 3 = 1%, 1/2%, or low-fat milk ; 4 =Fat-free, skim or nonfat milk ; 5 = soy milk ; 6 = Other kind of milk (name milk) dsq05
dsq_2a_text String 80 Recommended Other kind of milk (name milk) dsq06
dsq_3 Integer Recommended During the past month, how often did you drink regular soda or pop that contains sugar? Do NOT include diet soda. 0::10 0 =Never ; 1 = 1 time last month ; 2 = 2-3 times last month ; 3 = 1 time per week ; 4 = 2 times per week ; 5 = 3-4 times per week ; 6 = 5-6 times per week ; 7 = 1 time per day ; 8 = 2-3 times per day ; 9 = 4-5 times per day ; 10 = 6 or more times per day ; dsq07
visit_year Integer Recommended Year of visit
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:

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