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Filter Cart
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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

Beverage Supplement Activity

0 Shared Subjects

Questionnaire to measure consumption of soda, caffeine, supplements, activity, and screen time
Clinical Assessments
Food and Category
02/15/2022
bsa01
03/22/2022
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
visit_year Integer Recommended Year of visit
relationship Integer Recommended Relationship of respondent to individual 1::94;-999 1 = Biological mom; 2 = Biological dad; 3 = Grandparent; 4 = Special education (sped) teacher; 5 = General education teacher; 6 = Occupational therapist; 7 = Speech and language therapist; 8 = Behavioral therapist; 9 = Paraprofessional; 10 = Aide; 11 = Principal; 12 = Administrator; 14 = Content teacher; 15 = Parent center director; 16 = Self; 17=Adoptive mother; 18=Adoptive father; 19=Foster mother; 20 = Foster father; 21=Grandmother; 22=Grandfather; 23=Step-mother; 24 = Step-father; 25=Aunt; 26=Uncle; 28=Both parents;31= Grandmother from mother side; 32= Grandfather from mother side; 33= Grandmother from father side; 34= Grandfather from father side; 36= Brother; 37= Sister; 38= Cousin; 39= female caregiver; 40=male caregiver; 41=Female child; 42=Male child; 43=Spouse/Mate; 44=Friend; 45=Parent; 46=Significant other; 47=Sibling; 48=Son/Daughter; 49=Son-in-law/Daughter-in law; 50=Other Relative; 51=Paid caregiver; 52=Friends; 53=Roommate; 54=Supervisor; 55=mother's boyfriend; 56=other parental figure; 57=Summary; 58=counselor ; 59 = other female relative; 60 = other male relative; 61 = non-relative ; 62=Maternal Aunt; 63=Maternal Uncle; 64=Maternal Cousin; 65 = Paternal Aunt; 66=Paternal Uncle; 67=Paternal Cousin ; 68=Biological/Adoptive Mother and Grandmother; 69=Biological/Adoptive Mother and Stepmother and Grandmother; 70=Biological/Adoptive Mother and Grandmother and Foster Father; 71=Biological/Adoptive Mother and Stepmother and Foster Mother; 72=Biological/Adoptive Mother and Foster Mother; 73=Biological/Adoptive Mother and Biological/Adoptive Father; 74=Biological/Adoptive Mother and Stepmother and Biological/Adoptive Father; 75=Biological/Adoptive Mother and Other; 76=Biological/Adoptive Mother and Stepmother and Stepfather; 77=Biological/Adoptive Mother and Stepfather; 78=Biological/Adoptive Mother and Grandfather; 79=Biological/Adoptive Mother and Stepmother and Foster Father; 80=Biological/Adoptive Mother and Stepmother; 81=Guardian, female; 82=Other female; 83=Guardian, male; 84=Other male; 85=Other/Grandparent/Nanny; 86 = Mother, Father, Guardian; 87 = Daughter, son, grandchild; 88 = Professional (e.g., social worker, nurse, therapist, psychiatrist, or group home staff); -999=Missing; 89 = Biological parent; 90=Other; 91 = Stepparent; 92 = Adoptive parent; 93 = Foster parent; 94 = Co-worker
bevsupp_water Integer Recommended How often unflavored and unsweetened WATER (tap water or plain bottled water) drank? 1::5 1 = Never, 2 = <1 glass or 10 oz bottle/week, 3 = 2-6 glasses or 10 oz bottles/week, 4 = 1-2 glasses or 10 oz bottles/day, 5 = 3 or more glasses or 10 oz bottles/day
bevsupp_soda Integer Recommended How often a 10 oz can, bottle, or glass of a soft drink (SODA or POP) consumed? 1::5 1 = Never, 2 = <1 per week, 3 = 2-6 per week, 4 = 1-2 per day, 5 = 3 or more per day
bevsupp_sodacaff Integer Recommended Is the soda caffeinated or decaffeinated? 1; 2; -888 1 = Caffeinated, 2 = Decaffeinated, -888 = N/A - Doesn't drink soda
bevsupp_sodadiet Integer Recommended Is it normally 'diet soda' or 'regular soda'? 1; 2; -888 1 = Diet Soda, 2 = Regular Soda, -888 = N/A - Doesn't drink soda
bevsupp_sodabrand String 20 Recommended Which soft drink consumed the most?
bevsupp_tea Integer Recommended How often TEA or COFFEE consumed? 1::5 1 = Never, 2 = <1 cup/week, 3 = 2-6 cups/week, 4 = 1-2 cups/day, 5 = 3 or more cups/day
bevsupp_teacaff Integer Recommended Is the tea/coffee normally caffeinated or decaffeinated? 1; 2; -888 1 = Caffeinated, 2 = Decaffeinated, -888 = N/A - Doesn't drink tea/coffee
bevsupp_teasweet Integer Recommended Is it normally sweetened with sugar or artificial sweetener? 1; 2; -888 1 = Sweetened with sugar, honey, or equivalent, 2 = Sweetened with artificial sweetener, -888 = N/A - Not usually sweetened
bevsupp_teabrand String 20 Recommended Which tea or coffee consumed the most?
bevsupp_energy Integer Recommended How often caffeinated ENERGY DRINKS (Red Bull, Monster, etc.) consumed? 1::5 1 = Never, 2 = <1 can/week, 3 = 2-6 cans/week, 4 = 1-2 cans/day, 5 = 3 or more cans/day
bevsupp_energybrand String 20 Recommended Which energy drink consumed the most?
bevsupp_caffreact Integer Recommended Reaction to caffeine? 1::3; -888 1 = Positively impacts behavior (e.g., behaves better, calms down, etc.), 2 = Negatively impacts behavior (e.g., makes behavior worse, increases activity level, poor sleep, etc.), 3 = No change in behavior, -888 = Not applicable ( never or almost never consumed caffeine)
bevsupp_sugjuice Integer Recommended How often sugar-sweetened JUICE DRINKS or other non-carbonated beverages (e.g., Hawaiian Punch, Lemonade, KoolAid, Gatorade, Sunny Delight, Sports Drinks) consumed? 1::5 1 = Never, 2 = <1 glass/week, 3 = 2-6 glasses/week, 4 = 1-2 glasses/day, 5 = 3 or more glasses/day
bevsupp_sugjuicebrand String 20 Recommended Which sugar-sweetened juice consumed the most?
bevsupp_artjuice Integer Recommended How often artificially-sweetened JUICE DRINKS or other non-carbonated beverages (e.g. Crystal Light, Vitamin Water, reduced calorie or sugar-free juice or non-carbonated beverage) consumed? 1::5 1 = Never, 2 = <1 glass/week, 3 = 2-6 glasses/week, 4 = 1-2 glasses/day, 5 = 3 or more glasses/day
bevsupp_artjuicebrand String 20 Recommended Which artificially-sweetened juice consumed the most?
bevsupp_specdietyn Integer Recommended On a SPECIAL DIET? 1;3 1 = No, 3 = Yes
bevsupp_specdiet Integer Recommended What type of diet? 1::7 1 = No special diet, 2 = Gluten free, 3 = Dairy Free, 4 = Vegan, 5 = Vegetarian, 6 = Pescatarian, 7 = Other special diet
bevsupp_specdiet_type String 20 Recommended Other diet details
bevsupp_specdietdate Date Recommended Approximately when current diet started?
bevsupp_foodallergyyn Integer Recommended Have diagnosed food allergy? 1;3 1 = No, 3 = Yes
bevsupp_foodallergy Integer Recommended What type of food allergy? 1::6 1 = No diagnosed food allergy, 2 = Nuts (any), 3 = Dairy products/lactose (any), 4 = Wheat products, 5 = Seafood/shellfish (any), 6 = Other food allergy
bevsupp_foodallergy_type String 20 Recommended Other food allergy details
bevsupp_celiac Integer Recommended Diagnosed with celiac disease? 1;3 1 = No, 3 = Yes
bevsupp_gicomplaints Integer Recommended Have gastrointestinal problems or complaints twice a week or more? (e.g., constipation, diarrhea, abdominal pain, bloating, gas, heartburn) 1;3 1 = No, 3 = Yes
bevsupp_multivit Integer Recommended Multivitamin and mineral supplements taken? 1;3 1 = No, 3 = Yes
bevsupp_multivitbrand String 20 Recommended What brand of multivitamin/mineral supplement taken?
bevsupp_multivitoft Integer Recommended How often supplement taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_othervit Integer Recommended Other vitamin supplements (e.g., vitamin D or folic acid) taken? 1;3;8;9 1= No; 3= Yes; 8= NA; 9= Missing
bevsupp_othervitbrand1 String 20 Recommended What is the brand name of the first other vitamin?
bevsupp_othvitbrand1oft Integer Recommended How often this supplement taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_othervitbrand2 String 20 Recommended What is the brand name of the second other vitamin?
bevsupp_othvitbrand2oft Integer Recommended How often this supplement taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_othermin Integer Recommended Other mineral supplements (e.g,. calcium, iron, potassium, zinc) taken? 1;3 1 = No, 3 = Yes
bevsupp_otherminbrand1 String 20 Recommended What is the brand name of the first other mineral?
bevsupp_otherminbrand1oft Integer Recommended How often this mineral taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_otherminbrand2 String 20 Recommended What is the brand name of the second other mineral?
bevsupp_otherminbrand2oft Integer Recommended How often this mineral taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_morevit Integer Recommended Other vitamins or minerals not listed yet? 1;3 1 = No, 3 = Yes
bevsupp_morevit_type String 20 Recommended What is the brand name of the other vitamin or mineral?
bevsupp_morevitoft Integer Recommended How often this supplement taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_addvit String 20 Recommended List any other vitamins or minerals
bevsupp_oilfattyacid Integer Recommended Supplements containing oils or essential fatty acids (e.g., Omega-3, fish oil, or flaxseed oil) taken? 1;3 1 = No, 3 = Yes
bevsupp_oilfattyacid_type String 20 Recommended What is the brand name of the oil supplement?
bevsupp_oilfattyacidoft Integer Recommended How often oil supplement taken? 1::6; -888 1 = Seasonally (e.g. only in winter months), 2 = Once/month or less, 3 = 2-4 times/month, 4 = 1-2 times/week, 5 = 3-4 times/week, 6 = Daily, -888=N/A
bevsupp_aminoacid Integer Recommended Amino acid supplements (e.g., lysine, glutamine, etc.) taken? 1;3 1 = No, 3 = Yes
bevsupp_aminoacid_type String 20 Recommended What is the brand name of the amino acid supplement?
bevsupp_aminoacidoft Integer Recommended How often amino acid supplement taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_herbal Integer Recommended Products containing 1 or more herbal or botanical ingredients (e.g., Echinacea, St. John's Wort, herbal tea) taken? 1;3 1 = No, 3 = Yes
bevsupp_herbal_type String 20 Recommended What is the brand name of the herbal product?
bevsupp_herbaloft Integer Recommended How often herbal product taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_othersuppmed Integer Recommended Other dietary supplements or over-the-counter medicines (e.g., glucosamine, chondroitin sulfate, coenzyme Q-10, or garlic) taken? 1;3 1 = No, 3 = Yes
bevsupp_othersuppmed_type String 20 Recommended What is the brand name of the dietary supplement?
bevsupp_othersuppmedoft Integer Recommended How often this supplement taken? 1::5; -888 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily, -888=N/A
bevsupp_gelatin Integer Recommended Of all the supplements taken, do any contain gelatin? (in a gelatin capsule or a gummy-type vitamin) 1;3; -888 1 = No, 3 = Yes, -888 = N/A, don't take supplements
bevsupp_gelatinmany Integer Recommended How many supplements contain gelatin or are gummy-type?
bevsupp_gelatinoft Integer Recommended How frequently food items containing gelatin (e.g., jello, pudding, marshmallows, gummy candies, etc.) consumed? 0::5 0 = Never, 1 = Once/month or less, 2 = 2-4 times/month, 3 = 1-2 times/week, 4 = 3-4 times/week, 5 = Daily
bevsupp_reading Integer Recommended On an average day, how many hours spent reading outside of work or school? 1::5 1 = None, 2 = 1 hour or less, 3 = 2 hours, 4 = 3 hours, 5 = 3+ hours
bevsupp_screentimewkday Integer Recommended On an average weekday, how many hours spent on 'screen time' activities? (using apps or Internet on cell phone but not texting/talking, watching TV/movies, playing Nintendo, Playstation, Wii, computer games, etc.)? 1::7 1 = no screen time on an average weekday, 2 = Less than one hour/day during an average weekday , 3 = 1 hour/day, 4 = 2 hours/day, 5 = 3 hours/day, 6 = 4 hours/day, 7 = 5+ hours/day
bevsupp_screentimewkend Integer Recommended On an average weekend (Saturday & Sunday), how many hours spent on 'screen time' activities? (using apps or Internet on cell phone but not texting/talking, watching TV/movies, playing Nintendo, Playstation, Wii, computer games, etc.)? 1::7 1 = None, 2 = 1-5 hours on average weekend, 3 = 6-10 hours, 4 = 11-15 bours, 5 = 16-20 hours, 6 = 21-30 hours, 7 = 31+ hours
bevsupp_healthcond Integer Recommended Health condition that limits your physical activity? 1;3 1 = No, 3 = Yes
bevsupp_healthcond_type String 20 Recommended Please describe health condition(s) that limit physical activity:
bevsupp_homework Integer Recommended In past week on average, how many hours spent doing homework? 1::5 1 = None, 2 = 1 hour or less, 3 = 2 hours, 4 = 3 hours, 5 = 3+ hours
bevsupp_physactive Integer Recommended In past week on average, how many hours spent physically active? 1::8 1 = 0 hours, 2 = 1 hour or less, 3 = 2 hours, 4 = 3 hours, 5 = 4 hours, 6 = 5 hours, 7 = 6 hours, 8 = 7+ hours
bevsupp_gympe Integer Recommended In past week on average, how many hours participated in gym/PE? 1::5; -888 1 = 0 hours, 2 = 1 hour or less, 3 = 2-3 hours, 4 = 4 hours, 5 = 5+ hours; -888 = N/A, not in school in last week
bevsupp_sports Integer Recommended In past 12 months, how many months participated in team sports? 1::4 1 = Never, 2 = 1-4 months in past year, 3 = 5-8 months in past year, 4 = 9-12 months in past year
bevsupp_sleep Integer Recommended On average, how many hours per night slept? 1::5 1 = Less than 6 hours, 2 = 7 hours, 3 = 8 hours, 4 = 9 hours, 5 = 10 + hours
bevsupp_fallasleep Integer Recommended Difficulty falling asleep? 1;3 1 = No, 3 = Yes
bevsupp_sleepthrunite Integer Recommended Difficulty sleeping through the night? 1;3 1 = No, 3 = Yes
bevsupp_sleepconcern Integer Recommended Overall concerned about sleep habits? 1;3 1 = No, 3 = Yes
bevsupp_sleepbehav Integer Recommended Overall worried that poor sleep leads to behavior changes? 1;3 1 = No, 3 = Yes
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.