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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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Delay Discounting Task

2,914 Shared Subjects

N/A
Clinical Assessments
Task Based
07/13/2015
deldisk01
06/11/2020
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* nimhid
src_subject_id String 20 Required Subject ID how it's defined in lab/project ptid, subject
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field sessiondate, studyday
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. age
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender, sex
Query dd_ip1 Float Recommended Delay discounting - Indifference point for 1 day delay 0 :: 10
Query dd_ip2 Float Recommended Delay discounting - Indifference point for 2 day delay 0 :: 10
Query dd_ip30 Float Recommended Delay discounting - Indifference point for 30 day delay 0 :: 10
Query dd_ip180 Float Recommended Delay discounting - Indifference point for 180 day delay 0 :: 10
Query dd_ip360 Float Recommended Delay discounting - Indifference point for 360 day delay 0 :: 10
Query dd_1 Integer Recommended Would you prefer $54 today, or $55 in 117 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_2 Integer Recommended Would you prefer $55 today, or $75 in 61 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_3 Integer Recommended Would you prefer $19 today, or $25 in 53 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_4 Integer Recommended Would you prefer $31 today, or $85 in 7 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_5 Integer Recommended Would you prefer $14 today, or $25 in 19 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_6 Integer Recommended Would you prefer $47 today, or $50 in 160 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_7 Integer Recommended Would you prefer $15 today, or $35 in 13 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_8 Integer Recommended Would you prefer $25 today, or $60 in 14 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_9 Integer Recommended Would you prefer $78 today, or $80 in 162 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_10 Integer Recommended Would you prefer $40 today, or $55 in 62 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_11 Integer Recommended Would you prefer $11 today, or $30 in 7 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_12 Integer Recommended Would you prefer $67 today, or $75 in 119 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_13 Integer Recommended Would you prefer $34 today, or $35 in 186 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_14 Integer Recommended Would you prefer $27 today, or $50 in 21 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_15 Integer Recommended Would you prefer $69 today, or $85 in 91 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_16 Integer Recommended Would you prefer $49 today, or $60 in 89 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_17 Integer Recommended Would you prefer $80 today, or $85 in 157 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_18 Integer Recommended Would you prefer $24 today, or $35 in 29 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_19 Integer Recommended Would you prefer $33 today, or $80 in 14 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_20 Integer Recommended Would you prefer $28 today, or $30 in 179 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_21 Integer Recommended Would you prefer $34 today, or $50 in 30 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_22 Integer Recommended Would you prefer $25 today, or $30 in 80 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_23 Integer Recommended Would you prefer $41 today, or $75 in 20 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_24 Integer Recommended Would you prefer $54 today, or $60 in 111 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_25 Integer Recommended Would you prefer $54 today, or $80 in 30 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_26 Integer Recommended Would you prefer $22 today, or $25 in 136 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query dd_27 Integer Recommended Would you prefer $20 today, or $55 in 7 days? 0;1 0=smaller reward today; 1=larger reward in the specified number of days
Query completed Integer Recommended Checks if completed 0::3 0=No; 1=Yes; 2=Yes, lost; 3=Unverified dd_completed
Query dd_expressions_nips Integer Recommended The total number of successfully determined temporal and probabilistic indifference points 0::10 The procedure determines a total of 10 different indifference points (for five temporal delays, 't1' to 't5', and five probabilistic 'delays', 'p1' to 'p5'). The procedure is stopped as soon as 'expressions.nips' returns 10, i.e. when all indifference points at question have been obtained.
Query dd_t1_ip_found Integer Recommended Has an indifference point has been successfully determined for temporal delay t1 0;1 0=No; 1=Yes
Query dd_t1_ip Float Recommended Indifference point estimate for temporal delay t1 0::10
Query dd_t2_ip_found Integer Recommended Has an indifference point has been successfully determined for temporal delay t2 0;1 0=No; 1=Yes
Query dd_t2_ip Float Recommended Indifference point estimate for temporal delay t2 0::10
Query dd_t3_ip_found Integer Recommended Has an indifference point has been successfully determined for temporal delay t3 0;1 0=No; 1=Yes
Query dd_t3_ip Float Recommended Indifference point estimate for temporal delay t3 0::10
Query dd_t4_ip_found Integer Recommended Has an indifference point has been successfully determined for temporal delay t4 0;1 0=No; 1=Yes
Query dd_t4_ip Float Recommended Indifference point estimate for temporal delay t4 0::10
Query dd_t5_ip_found Integer Recommended Has an indifference point has been successfully determined for temporal delay t5 0;1 0=No; 1=Yes
Query dd_t5_ip Float Recommended Indifference point estimate for temporal delay t5 0::10
Query dd_p1_ip_found Integer Recommended Has an indifference point has been successfully determined for probabilistic delay p1 0;1 0=No; 1=Yes
Query dd_p1_ip Float Recommended Indifference point estimate for probabilistic delay p1 0::10
Query dd_p2_ip_found Integer Recommended Has an indifference point has been successfully determined for probabilistic delay p2 0;1 0=No; 1=Yes
Query dd_p2_ip Float Recommended Indifference point estimate for probabilistic delay p2 0::10
Query dd_p3_ip_found Integer Recommended Has an indifference point has been successfully determined for probabilistic delay p3 0;1 0=No; 1=Yes
Query dd_p3_ip Float Recommended Indifference point estimate for probabilistic delay p3 0::10
Query dd_p4_ip_found Integer Recommended Has an indifference point has been successfully determined for probabilistic delay p4 0;1 0=No; 1=Yes
Query dd_p4_ip Float Recommended Indifference point estimate for probabilistic delay p4 0::10
Query dd_p5_ip_found Integer Recommended Has an indifference point has been successfully determined for probabilistic delay p5 0;1 0=No; 1=Yes
Query dd_p5_ip Float Recommended Indifference point estimate for probabilistic delay p5 0::10
subject_response String 10 Recommended Subject's response choiceresp, delaydisc_choice_ab
Query rt Float Recommended Reaction Time choicert, dd_rt, delaydisc_rt, responsetime
Query delaytrial Integer Recommended time in milliseconds between end of previous stimulus and beginning of current stimulus. delay
Query ddt_small_k Float Recommended k value for small sums of money ($25 to $35)
Query ddt_medium_k Float Recommended k value for medium sums of money ($50 to $60)
Query ddt_large_k Float Recommended k value for large sums of money ($75 to $85)
Query ddt_total_k Float Recommended k value for all sums of money ($25 to $85). Taken as the geometric mean of small k, medium k, and large k
Query ddt_log_small_k Float Recommended The natural log of the k value for small sums of money. Done to reduce skewness.
Query ddt_log_medium_k Float Recommended The natural log of the k value for medium sums of money. Done to reduce skewness.
Query ddt_log_large_k Float Recommended The natural log of the k value for large sums of money. Done to reduce skewness.
Query ddt_log_total_k Float Recommended The natural log of the k value for all sums of money. Done to reduce skewness.
Query ddt_small_incon Integer Recommended Inconsistent responding within the small sums of money (3 or more responses are not consistent with the assigned small k value). Inconsistent responding suggests that the assigned k value is not a good fit for the data. Exclude subject from analyses.
Query ddt_medium_incon Integer Recommended Inconsistent responding within the medium sums of money (3 or more responses are not consistent with the assigned medium k value). Inconsistent responding suggests that the assigned k value is not a good fit for the data. Exclude subject from analyses.
Query ddt_large_incon Integer Recommended Inconsistent responding within the large sums of money (3 or more responses are not consistent with the assigned large k value). Inconsistent responding suggests that the assigned k value is not a good fit for the data. Exclude subject from analyses.
Query ddt_mn_rt Float Recommended Mean reaction time for all trials delaydisc_meanrt
Query ddt_md_rt Float Recommended Median reaction time for all trials delaydisc_medianrt
Query ddt_sd_rt Float Recommended Standard deviation of reaction time for all trials delaydisc_sdrt
Query ddt_items7_typo Integer Recommended This indicates if there was a typo on item 7, in which the delay period is off (should be "13 days" but the typo says "136 days"). The scoring algorithm adjusts for the typo, but this variable may be used to exclude typo data if desired.
left_choice1 String 20 Recommended reward option on the left side of the screen for each item dd_leftamount
right_choice2 String 20 Recommended reward option on the right side of the screen for each item dd_rightamount
delayedchoice String 20 Recommended This variable is supposed to indicate which button selects the delayed choice on a given trial. It is WRONG from item 19 to 27, and thus should NOT be used in calculations.
r_size String 20 Recommended whether the item is small (1), medium (2), or large (3) in monetary magnitude
Query sir Integer Recommended reward size for the immediate choice
Query ldr Integer Recommended reward size for the delayed choice
Query k_indiff Float Recommended discounting INDIFFERENCE value for each item
Query k_rank Integer Recommended Rank of degree of discounting. Higher rank is higher discounting.
site String 101 Recommended Site Study Site siteid
Query timept Integer Recommended Time Point 888 = not applicable; 999 = missing timepoint
Query trial Integer Recommended Trial number 0::400; -777; -999 1 = first; 2= second; 3=third; 4=fourth; 5=fifth; 6=sixth; etc; -777=NA, -999=missing dd_trial, delaydisc_trial
Query ncaid Integer Recommended Primary ID of Neurocognitive Test
delaydisc_type String 15 Recommended Time Length For 6-Trials Bundle (or if catch trial)
Query delaydisc_type_num Integer Recommended Trial # In Set of Six (0-6)
Query delaydisc_current_a Float Recommended Amount of Money Receive Immediately
Query delaydisc_current_k Float Recommended How Deeply Value Decreased w/Time
version_form String 121 Recommended Form used/assessment name ddisc.experimentname, ddisc_valid, delaydisc_batteryid
Query testid Integer Recommended Identifier of Current Test delaydisc_testid
session_id String 20 Recommended session ID/screening ID delaydisc_sittingid
Query cbgroup Integer Recommended Counterbalancing Group delaydisc_group
Query aurora_device Integer Recommended Device Used 1 :: 6 1=iPad; 2=iPhone; 3=Tablet; 4=Android Smartphone; 5=Desktop; 6=Laptop delaydisc_device
Query visit String 60 Recommended Visit name delaydisc_timepoint
Query delaydisc_catch_score Float Recommended Proportion of Correct Responses Across All Trials
Query delaydisc_lnk Float Recommended Natural Log Of K Parameter Averaged Across Conditions
Query delaydisc_twoweeks_lnk Float Recommended Natural Log Of K Parameter For Two Week Delays
Query delaydisc_onemonth_lnk Float Recommended Natural Log Of K Parameter For One Month Delays
Query delaydisc_sixmonths_lnk Float Recommended Natural Log Of K Parameter For Six Month Delays
Query delaydisc_oneyear_lnk Float Recommended Natural Log Of K Parameter For One Year Delays
Query delaydisc_threeyears_lnk Float Recommended Natural Log Of K Parameter For Three Year Delays
Query delaydisc_fiveyears_lnk Float Recommended Natural Log Of K Parameter For Five Year Delays
Query delaydisc_tenyears_lnk Float Recommended Natural Log Of K Parameter For Ten Year Delays
deviceserialnumber String 200 Recommended device serial number/ID delaydisc_useragent
Query testduration Integer Recommended Seconds Taken To Complete Test delaydisc_duration
Query testrestarts Integer Recommended Number Of Times Participant Restarted Test delaydisc_reloaded
experiment_name String 200 Recommended Experiment Name experimentname
Query groups Integer Recommended Group 0;1 0=Control; 1=Case group
stime String 20 Recommended Session time sessiontime
Query block_number Integer Recommended Block Number block
handedness String 29 Recommended handedness R;L;B;999 R = Right; L = Left; B = Both
respondent String 20 Recommended Respondent Mother;Father;Both;Other;Parent;Teacher;Child
Query sv_6mo_200 Float Recommended Subject for Delay / Indifference Point 6mo, Delay Amount $200 ddisc.sv_6mo_200, ddisc_sv_6mo_200
Query sv_3yr_200 Float Recommended Subject for Delay / Indifference Point 3yr, Delay Amount $200 ddisc.sv_3yr_200, ddisc_sv_3yr_200
Query sv_1mo_200 Float Recommended Subject for Delay / Indifference Point 1mo, Delay Amount $200 ddisc.sv_1mo_200, ddisc_sv_1mo_200
Query sv_5yr_200 Float Recommended Subject for Delay / Indifference Point 5yr, Delay Amount $200 ddisc.sv_5yr_200, ddisc_sv_5yr_200
Query sv_10yr_200 Float Recommended Subject for Delay / Indifference Point 10yr, Delay Amount $200 ddisc.sv_10yr_200, ddisc_sv_10yr_200
Query sv_1yr_200 Float Recommended Subject for Delay / Indifference Point 1yr, Delay Amount $200 ddisc.sv_1yr_200, ddisc_sv_1yr_200
Query sv_6mo_40000 Float Recommended Subject for Delay / Indifference Point 6mo, Delay Amount $40000 ddisc.sv_6mo_40000, ddisc_sv_6mo_40000
Query sv_3yr_40000 Float Recommended Subject for Delay / Indifference Point 3yr, Delay Amount $40000 ddisc.sv_3yr_40000, ddisc_sv_3yr_40000
Query sv_1mo_40000 Float Recommended Subject for Delay / Indifference Point 1mo, Delay Amount $40000 ddisc.sv_1mo_40000, ddisc_sv_1mo_40000
Query sv_5yr_40000 Float Recommended Subject for Delay / Indifference Point 5yr, Delay Amount $40000 ddisc.sv_5yr_40000, ddisc_sv_5yr_40000
Query sv_10yr_40000 Float Recommended Subject for Delay / Indifference Point 10yr, Delay Amount $40000 ddisc.sv_10yr_40000, ddisc_sv_10yr_40000
Query sv_1yr_40000 Float Recommended Subject for Delay / Indifference Point 1yr, Delay Amount $40000 ddisc.sv_1yr_40000, ddisc_sv_1yr_40000
Query auc_200 Float Recommended Area Under the Curve for Delay Amount $200 ddisc.auc_200, ddisc_auc_200
Query auc_40000 Float Recommended Area Under the Curve for Delay Amount $40000 ddisc.auc_40000, ddisc_auc_40000
Query mpdat Float Recommended days from enrollment studyday
cogbias_state String 25 Recommended Event Received at Response Termination delaydisc_state
ddisc_sv_1wk_100 Float Recommended Subjective Value / Indifference Point, Amount $100 in 1 week Delay ddisc.sv_1wk_100
ddisc_sv_2wk_100 Float Recommended Subjective Value / Indifference Point, Amount $100 in 2 week Delay ddisc.sv_2wk_100
ddisc_sv_1mo_100 Float Recommended Subjective Value / Indifference Point, Amount $100 in 1 month Delay ddisc.sv_1mo_100
ddisc_sv_6mo_100 Float Recommended Subjective Value / Indifference Point, Amount $100 in 6 month Delay ddisc.sv_6mo_100
ddisc_sv_1yr_100 Float Recommended Subjective Value / Indifference Point, Amount $100 in 1 year Delay ddisc.sv_1yr_100
ddisc_sv_3yr_100 Float Recommended Subjective Value / Indifference Point, Amount $100 in 3 year Delay ddisc.sv_3yr_100
ddisc_auc_20 Float Recommended Area Under the Curve for Delay Amount $20 ddisc.auc_20
ddisc_auc_100 Float Recommended Area Under the Curve for Delay Amount $100 ddisc.auc_100
ddisc_comparemoney Float Recommended Mean accuracy for comparison between two monetary values ddisc.comparemoney
ddisc_comparemoneydelay Float Recommended Mean accuracy for comparison between one monetary value at two different delays ddisc.comparemoneydelay
ddisc_comparedelay Float Recommended Mean accuracy for comparison between two temporal delays ddisc.comparedelay
ddisc_valid Integer Recommended Current Programming Version of the Scoring Code
ddisc_sv_1wk_20 Float Recommended Subjective Value / Indifference Point, Amount $20 in 1 week Delay ddisc.sv_1wk_20
ddisc_sv_2wk_20 Float Recommended Subjective Value / Indifference Point, Amount $20 in 2 week Delay ddisc.sv_2wk_20
ddisc_sv_1mo_20 Float Recommended Subjective Value / Indifference Point, Amount $20 in 1 month Delay ddisc.sv_1mo_20
ddisc_sv_6mo_20 Float Recommended Subjective Value / Indifference Point, Amount $20 in 6 month Delay ddisc.sv_6mo_20
ddisc_sv_1yr_20 Float Recommended Subjective Value / Indifference Point, Amount $20 in 1 year Delay ddisc.sv_1yr_20
ddisc_sv_3yr_20 Float Recommended Subjective Value / Indifference Point, Amount $20 in 3 year Delay ddisc.sv_3yr_20
dd_lefttime String 100 Recommended Time displayed for the left choice
dd_righttime String 100 Recommended Time displayed for the right choice
dd_choice Integer Recommended Subject choice (left or right scenario) 1;2;999;888 1 = left choice, 2 - right choice, 999 = not applicable, 888 = missing
comqother String 255 Recommended Respondent - Other (text)
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

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