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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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Data Structures with shared data
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ABC-CT Eye Tracking Derived Results

0 Shared Subjects

N/A
Neurosignal Recordings
Evaluated Data
06/26/2020
abc_vt_et01
07/01/2020
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*
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
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
edf1 String 20 Recommended Name of SR data file in EDF format from first session
edf2 String 20 Recommended Name of SR data file in EDF format from second session
etam_activity_perct Float Recommended Gaze percentage at activities relative to valid acquired ET data
0 :: 1;999
999= NA et_activity_perct
etam_background_perct Float Recommended Gaze percentage at background scene elements relative to valid acquired ET data
0::1;999
999= NA et_background_perct
etam_heads_perct Float Recommended Gaze percentage at faces and heads relative to valid acquired ET data
0::1;999
999= NA et_heads_perct
etam_looking_perct_alltrials Float Recommended Average amount of valid ET data averaged across all trials whether valid or not
0::1;999
999= NA et_looking_perct_alltrials, etbm_looking_perct_alltrials, etplr_looking_perct_alltrials, etsi_looking_perct_alltrials, etss_looking_perct_alltrials
etam_look_perct_ifallbv Float Recommended Average amount of valid ET data averaged across trials that met all other validity requirements except minimum % looking requirements
0::1;999
999= NA et_look_perct_ifallbv, etam_looking_perct_mean_ifallbutlookingvalid, etbm_looking_perct_mean_ifallbutlookingvalid, etplr_looking_perct_mean_ifallbutlookingvalid, etsi_looking_perct_mean_ifallbutlookingvalid, etss_looking_perct_mean_ifallbutlookingvalid
etam_cal_err_mean_all Float Recommended Calibration uncertainty (error) et_cal_err_mean_all, etam_min_cal_error_mean_alltrials, etbm_min_cal_error_mean_alltrials, etplr_min_cal_error_mean_alltrials, etsi_min_cal_error_mean_alltrials, etss_min_cal_error_mean_alltrials
etam_rversion String 50 Recommended Sourcecode identifier for variable computation et_rversion, etbm_rversion, etplr_rversion, etsi_rversion, etss_rversion
etam_w_val_calib_err Integer Recommended Number of valid trials based on calibration error requirements et_w_val_calib_err, etam_trials_with_valid_calibration_error, etbm_trials_with_valid_calibration_error, etplr_trials_with_valid_calibration_error, etsi_trials_with_valid_calibration_error, etss_trials_with_valid_calibration_error
etam_w_val_look_cal Integer Recommended Number of valid trials meeting both valid ET looking time and calibration error requirements et_w_val_look_cal, etam_trials_with_valid_looking_and_cal, etbm_trials_with_valid_looking_and_cal, etplr_trials_with_valid_looking_and_cal, etsi_trials_with_valid_looking_and_cal, etss_trials_with_valid_looking_and_cal
etam_val_look_perc Integer Recommended Number of valid trials based on valid ET looking time requirements et_val_look_perc, etam_trials_with_valid_looking_percent, etbm_trials_with_valid_looking_percent, etplr_trials_with_valid_looking_percent, etsi_trials_with_valid_looking_percent, etss_trials_with_valid_looking_percent
etam_valid_over Integer Recommended Number of valid trials based on all requirements et_valid_over, etam_trials_with_valid_overall, etbm_trials_with_valid_overall, etsi_trials_with_valid_overall, etss_trials_with_valid_overall
etam_valid Integer Recommended Validity of sample at timepoint 0;1 0 =Invalid; 1 =Valid et_valid, etbm_valid, etplr_valid, etsi_valid, etss_valid
et_heads_amsiss Float Recommended Oculomotor Index of Gaze to Human Faces (OMI) computed as average over AM/SI/SS tasks
0::1;999
999= NA
version_form String 121 Recommended Form used/assessment name
etbm_human_aff_perct Float Recommended Gaze percentage at biological motion relative to gaze at biological motion or control motions from trials depicting affective content
0::1;999
999= NA
etbm_hum_obj_rot_perc Float Recommended Gaze percentage at biological motion relative to gaze at biological motion or control motions from trials depicting object directed actions with rotational movement controls
0::1;999
999= NA etbm_human_obj_rotation_perct
etbm_human_perct Float Recommended Gaze percentage at biological motion relative to gaze at biological motion or control motions from all trials
0::1;999
999= NA
etplr_averagedegreesfromcenter Float Recommended Average absolute gaze distance from screen center
0::100; 999
999= NA
etplr_latency_mean Float Recommended Latency of pupillary light reflex onset
0::100; 999
999= NA
etplr_pupil_constrict_mean Integer Recommended Relative pupil constriction
0;1;999
999= NA
etplr_val_reg_plr_stand Integer Recommended Number of valid trials based on regular ET and PLR standards etplr_trials_valid_by_reg_and_plr_standards
etplr_val_a0amlat Integer Recommended Number of valid trials based on PLR latency requirements etplr_trials_with_valid_a0amlatency
etss_social_perct Float Recommended Gaze percentage at people relative to valid acquired ET data
0::1; 999
999= NA
experiment_id Integer Recommended ID for the Experiment/settings/run
file_source String 1,024 Recommended File name/location
derived_results_version String 20 Recommended Analysis pipeline identifier for version results
etss_face_perct Float Recommended Gaze percentage at faces relative to valid acquired ET data
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.