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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). 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 fliter 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

  • 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.

  • 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.

  • 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.

Glossary

  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • 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. 

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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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Enviromental Exposure

502 Shared Subjects

N/A
Clinical Assessments
Exposure
12/02/2014
envexpo01

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* pseudo_guid
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 Required field date_interview_ses
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 the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender, sex
Query study_id Integer Recommended Study ID number 46=Acute Phase; 47=Stabilization Phase
Query groups Integer Recommended Group 0;1 0=Control; 1=Case group
Query batteryrepair Integer Recommended 6.1. Does/Did (child) live near (within one mile) automobile battery repair shops= automobile battery recycling or battery processing facilities? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query batteryrepair_date_s String 20 Recommended 6.1.1. If yes= when did (child) live there? Since
Query batteryrepair_date_t String 20 Recommended 6.1.1. If yes= when did (child) live there? To
Query traffic Integer Recommended 6.2. Does/Did (child) live near (within quarter of a mile) a high traffic road? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query traffic_date_s String 20 Recommended 6.2.1. If yes= when did (child) live there? Since
Query traffic_date_t String 20 Recommended 6.2.1. If yes= when did (child) live there? To
Query live_landfills Integer Recommended 6.3. Does/Did (child) live near (within quarter of a mile) landfills or incinerators? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query live_landfills_date_s String 20 Recommended 6.3.1. If yes= when did (child) live there? Since
Query live_landfills_date_t String 20 Recommended 6.3.1. If yes= when did (child) live there? To
Query school_landfills Integer Recommended 6.4. Does/Did (child) attend school near (within quarter of a mile) landfills or incinerators? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query school_landfills_date_s String 20 Recommended 6.4.1. If yes= when was (child) enrolled there? Since
Query school_landfills_date_t String 20 Recommended 6.4.1. If yes= when was (child) enrolled there? To
Query live_farm Integer Recommended 6.5. Does/Did (child) live near (within one mile) a farm? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query live_farm_date_s String 20 Recommended 6.5.1. If yes= when did (child) live there? Since
Query live_farm_date_t String 20 Recommended 6.5.1. If yes= when did (child) live there? To
Query school_farm Integer Recommended 6.6. Does/Did (child) attend school near (within one mile) a farm? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query school_farm_date_s String 20 Recommended 6.6.1. If yes= when was (child) enrolled there? Since
Query school_farm_date_t String 20 Recommended 6.6.1. If yes= when was (child) enrolled there? To
Query live_powerplant Integer Recommended 6.7. Does/Did (child) live near (within one mile) a power plant or capacitor (such as cylindrical devices used in capping fluorescent lights to induct electrical frequencies) plant? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query live_powerplant_date_s String 20 Recommended 6.7.1. If yes= when did (child) live there? Since
Query live_powerplant_date_t String 20 Recommended 6.7.1. If yes= when did (child) live there? To
Query school_powerplant Integer Recommended 6.8. Does/Did (child) attend school near (within one mile) a power plant or capacitor plant? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query school_powerplant_date_s String 20 Recommended 6.8.1. If yes= when was (child) enrolled there? Since
Query school_powerplant_date_t String 20 Recommended 6.8.1. If yes= when was (child) enrolled there? To
Query live_paintpeeling Integer Recommended 6.9. Does/Did (child) live in a house where paint is peeling or chipping off? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query live_paintpeeling_date_s String 20 Recommended 6.9.1. If yes= when did (child) live there? Since
Query live_paintpeeling_date_t String 20 Recommended 6.9.1. If yes= when did (child) live there? To
Query school_paintpeeling Integer Recommended 6.10. Does/Did (child) attend a school where paint is peeling or chipping off? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query school_paintpeeling_date_s String 20 Recommended 6.10.1. If yes= when was (child) enrolled there? Since
Query school_paintpeeling_date_t String 20 Recommended 6.10.1. If yes= when was (child) enrolled there? To
Query household_old_electrical Integer Recommended 6.11. Do/Did (child)'s household own any old electrical devices (e.g. television, radio, transformers, capacitors such as cylindrical devices used to cap fluorescent lights and other heat transfer devices such as hair dryers, etc.) that were built before 1979? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query child_old_electrical Integer Recommended 6.11.1. Does/did (child) play with any old electrical devices or capacitors such as those mentioned in the previous question? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query insecticides Integer Recommended 6.12. Do/Did (child)s household use insecticides, rodenticide, flea bombs or foggers in the home, or herbicide or fungicide on lawns? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query batteryprocessing Integer Recommended 6.13. Does/Did (child) live with an adult whose job involves working with battery repairing, recycling or processing? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query batteryprocessing_date_s String 20 Recommended 6.13.1. If yes= when did (child) live there? Since
Query batteryprocessing_date_t String 20 Recommended 6.13.1. If yes= when did (child) live there? To
Query batteryprocessing_relation String 20 Recommended 6.13.2. If yes= what is the person's relationship to (child)?
Query batteryprocessing_jobtitle String 20 Recommended 6.13.3. What is/was his/her position (job)?
Query construction Integer Recommended 6.14. Does/Did the child live with an adult whose job involves construction of buildings or bridges? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query construction_date_s String 20 Recommended 6.14.1. If yes= when did (child) live there? Since
Query construction_date_t String 20 Recommended 6.14.1. If yes= when did (child) live there? To
Query construction_relation String 20 Recommended 6.14.2. If yes= what is the person's relationship to (child)?
Query construction_jobtitle String 20 Recommended 6.14.3. What is/was his/her position (job)?
Query ceramicworker Integer Recommended 6.15. Does/Did (child) live with an adult whose job involves working with ceramic or tile ceramic manufacturing? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query ceramicworker_date_s String 20 Recommended 6.15.1. If yes= when did (child) live there? Since
Query ceramicworker_date_t String 20 Recommended 6.15.1. If yes= when did (child) live there? To
Query ceramicworker_relation String 20 Recommended 6.15.2. If yes= what is the person's relationship to (child)?
Query ceramicworker_jobtitle String 20 Recommended 6.15.3. What is/was his/her position (job)?
Query roofing_aluminum Integer Recommended 6.16. Does/Did the child live with an adult whose job involves working with aluminum siding or roofing? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query roofing_aluminum_date_s String 20 Recommended 6.16.1. If yes= when did (child) live there? Since
Query roofing_aluminum_date_t String 20 Recommended 6.16.1. If yes= when did (child) live there? To
Query packaging_aluminum Integer Recommended 6.17. Does/Did the child live with an adult whose job involves working with packaging that uses aluminum (e.g. aluminum foil, capsules, tubes, bottles, laminates)? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query packaging_aluminum_date_s String 20 Recommended 6.17.1. If yes= when did (child) live there? Since
Query packaging_aluminum_date_t String 20 Recommended 6.17.1. If yes= when did (child) live there? To
Query radiator Integer Recommended 6.18 .Does/Did (child) live with an adult whose job involves car radiator repair? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query radiator_date_s String 20 Recommended 6.18.1. If yes= when did (child) live there? Since
Query radiator_date_t String 20 Recommended 6.18.1. If yes= when did (child) live there? To
Query radiator_relation String 20 Recommended 6.18.2. If yes= what is the person's relationship to (child)?
Query radiator_jobtitle String 20 Recommended 6.18.3. What is/was his/her position (job)?
Query mining Integer Recommended 6.19. Does/Did (child) live with an adult whose job involves the mining industry? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query mining_date_s String 20 Recommended 6.19.1. If yes= when did (child) live there? Since
Query mining_date_t String 20 Recommended 6.19.1. If yes= when did (child) live there? To
Query mining_relation String 20 Recommended 6.19.2. If yes= what is the person's relationship to (child)?
Query mining_jobtitle String 20 Recommended 6.19.3. What is/was his/her position (job)?
Query bauxite Integer Recommended 6.20. Does/Did (child) live with an adult whose job involves bauxite mining? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query bauxite_date_s String 20 Recommended 6.20.1. If yes= when did (child) live there? Since
Query bauxite_date_t String 20 Recommended 6.20.1. If yes= when did (child) live there? To
Query bauxite_relation String 20 Recommended 6.20.2. If yes= what is the person's relationship to (child)?
Query bauxite_jobtitle String 20 Recommended 6.20.3. What is/was his/her position (job)?
Query smelting Integer Recommended 6.21. Does/Did (child) live with an adult whose job involves smelting? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
smelting_date_s String 20 Recommended 6.21.1. If yes= when did (child) live there? Since
smelting_date_t String 20 Recommended 6.21.1. If yes= when did (child) live there? To
smelting_relation String 20 Recommended 6.21.2. If yes= what is the person's relationship to (child)?
smelting_jobtitle String 20 Recommended 6.21.3. What is/was his/her position (job)?
Query work_powerplant Integer Recommended 6.22. Does/Did (child) live with an adult whose job involves working in a power plant or capacitor plant? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query work_powerplant_date_s String 20 Recommended 6.22.1. If yes= when did (child) live there? Since
Query work_powerplant_date_t String 20 Recommended 6.21.1. If yes= when did (child) live there? To
Query work_powerplan__relation String 20 Recommended 6.22.2. If yes= what is the person's relationship to (child)?
Query work_powerplant_jobtitle String 20 Recommended 6.22.3. What is/was his/her position (job)?
Query work_farm Integer Recommended 6.23. Does/Did (child) live with an adult whose job involves crop spraying pesticides (which include herbicides,weed killers, insecticides, rodenticides, fungicides, etc.) in a farm or a garden? 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query work_farm_date_s String 20 Recommended 6.23.1. If yes= when did (child) live there? Since
Query work_farm_date_t String 20 Recommended 6.23.1. If yes= when did (child) live there? To
Query work_farm_relation String 20 Recommended 6.23.2. If yes= what is the person's relationship to (child)?
Query work_farm_jobtitle String 20 Recommended 6.23.3. What is/was his/her position (job)?
Query work_farm_covering Integer Recommended 6.23.4. Does this person wear special clothing or covering when applying pesticides (no other use)? 0;1;99;-999 1= Yes ; 0= No ; 99= D/K ; -999= Missing
Query work_farm_mask Integer Recommended 6.23.5. Does this person wear a mask/respirator when handling pesticides? 0;1;99;-999 1= Yes ; 0= No ; 99= D/K ; -999= Missing
Query work_farm_eyewear Integer Recommended 6.23.6. Does this person use protective eyewear when applying pesticides? 0;1;99;-999 1= Yes ; 0= No ; 99= D/K ; -999= Missing
Query work_farm_shoes Integer Recommended 6.23.7. Does this person always wear special shoes (no other use) when applying pesticides? 0;1;99;-999 1= Yes ; 0= No ; 99= D/K ; -999= Missing
Query work_farm_tools Integer Recommended 6.23.8. Does this person use special tools (no other use) to mix and apply pesticides? 0;1;99;-999 1= Yes ; 0= No ; 99= D/K ; -999= Missing
Query work_farm_gloves Integer Recommended 6.23.9. Does this person wear gloves when applying pesticides? 0;1;99;-999 1= Yes ; 0= No ; 99= D/K ; -999= Missing
Query work_farm_change_clothes Integer Recommended 6.23.10. Does this person change his/her clothes immediately after applying pesticides? 0;1;99;-999 1= Yes ; 0= No ; 99= D/K ; -999= Missing
Query work_farm_bathe Integer Recommended 6.23.11. Does this person always bathe after applying pesticides? 0;1;99;-999 1= Yes ; 0= No ; 99= D/K ; -999= Missing
Query cosmetics Integer Recommended 6.24. Does (child)'s mother frequently (at least once per week) use the following cosmetics: nail polish, eye shadow, eye liner, mascara, and brow liner? 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query mud Integer Recommended 6.25.1. Mud 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query wallpaper Integer Recommended 6.25.2. Wallpaper 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query paintchips Integer Recommended 6.25.3. Paint chips 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query dirty_hands_soil Integer Recommended 6.25.4. Dirty hands or other soil/dirt covered objects 1;2;99;77;-999 1= Yes ; 2= No ; 99= D/K ; 77= N/A ; -999= Missing
Query eat_without_washing Integer Recommended 6.26. Does (child) eat without washing his/her hands? 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query turtles Integer Recommended 6.27. Does/Did (child) play with turtles? 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query toys Integer Recommended 6.28. Does (child) have any toys? 1;2;-999 1= Yes ; 2= No ; -999= Missing
Query plastic_toy Integer Recommended 6.28.1.1. Plastic 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query stuffed_toy Integer Recommended 6.28.1.2. Stuffed 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query aluminum_toy Integer Recommended 6.28.1.3. Aluminum (e.g., cars, kitchen set, etc.) 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query steel_toy Integer Recommended 6.28.1.4. Steel or metals other than aluminum (e.g.robots etc.) 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query leadfree_toy Integer Recommended 6.28.1.5. Lead-painted 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query electronic_toy Integer Recommended 6.28.1.6. Electronic 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query battery_toy Integer Recommended 6.28.1.7. Battery operated 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query clay_toy Integer Recommended 6.28.1.8. Clay 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query wood_toy Integer Recommended 6.28.1.9. Wooden 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query other_toy Integer Recommended 6.28.1.90. Other 0;1;-999 1= Yes ; 0= No ; -999= Missing
Query other_toy_specify String 20 Recommended Other= Specify
Query stainlesssteel Integer Recommended 6.29.a. Stainless steel 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query castiron Integer Recommended 6.29.b. Cast iron 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query aluminum_dishes Integer Recommended 6.29.c. Aluminum 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query steel_porcelain Integer Recommended 6.29.d. Steel coated with porcelain enamel 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query plastic_dishes Integer Recommended 6.29.e. Plastics 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query teflon Integer Recommended 6.29.f. Teflon 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query ceramic Integer Recommended 6.29.g. Ceramic 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query other_dishes Integer Recommended 6.29.h. Other 1;2;99;-999 1= Yes ; 2= No ; 99= D/K ; -999= Missing
Query other_specify_dishe String 20 Recommended Other= Specify
Query first_dish Integer Recommended 6.29.1.A. First Substances pots and pans are most often used for cooking? 1::6;90;99;-999 1= Stainless steel ; 2= Cast iron ; 3= Aluminum ; 4= Steel coated with porcelain enamel ; 5= Teflon ; 6= Ceramic ; 90= Other= specify ; 99= D/K ; -999= Missing
first_dish_specify String 20 Recommended First dish Other= Specify
Query second_dish Integer Recommended 6.29.1.B. Second Substances pots and pans are most often used for cooking? 1::6;90;99;-999 1= Stainless steel ; 2= Cast iron ; 3= Aluminum ; 4= Steel coated with porcelain enamel ; 5= Teflon ; 6= Ceramic ; 90= Other= specify ; 99= D/K ; -999= Missing
Query second_dish_specify String 20 Recommended Second dish Other= Specify
Query record_ses_f Integer Recommended Record Status 1::7 1= Done ; 2= Not Done ; 3= Withdrawn ; 4= Skipped/Missing ; 5= Deceased ; 6= Site could not reach subject ; 7= Refused record_status_c_part3
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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  • Download a copy of this definition in CSV format
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