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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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Consultation Fidelity Checklist

19 Shared Subjects

Parent, Teacher, Student, Researcher
Clinical Assessments
Treatment
07/13/2016
consfidc01
07/13/2016
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_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.
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query version_form String 121 Required Form used/assessment name
Query fidelity_p_q1_1 Integer Recommended Q1 teacher and parents attend meeting 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q1_1, fidelity_s_q1_1, fidelity_t_q1_1
Query fidelity_p_q1_2 Integer Recommended Q1 other personnel who interact regularly with student attend meeting 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q1_2, fidelity_s_q1_2, fidelity_t_q1_2
Query fidelity_p_q2_1 Integer Recommended Q2 goals include those suggested from home and family 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q2_1, fidelity_s_q2_1, fidelity_t_q2_1
Query fidelity_p_q2_2 Integer Recommended Q2 planning for the student's program is based on input from all participants 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q2_2, fidelity_s_q2_2, fidelity_t_q2_2
Query fidelity_p_q2_3 Integer Recommended Q2 each member contributes ideas for teaching the goals 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q2_3, fidelity_s_q2_3, fidelity_t_q2_3
Query fidelity_p_q3_1 Integer Recommended Q3 checklists that are used to help organize information, identify student's needs, and solicit input from all members 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q3_1, fidelity_s_q3_1, fidelity_t_q3_1
Query fidelity_p_q3_2 Integer Recommended Q3 facilitated guidance and structure from the consultant 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q3_2, fidelity_s_q3_2, fidelity_t_q3_2
Query fidelity_p_q3_3 Integer Recommended Q3 a picture of the student at home in the community and at school 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q3_3, fidelity_s_q3_3, fidelity_t_q3_3
Query fidelity_p_q4_1 Integer Recommended Q4 described in clear behavioral terms 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q4_1, fidelity_s_q4_1, fidelity_t_q4_1
Query fidelity_p_q4_2 Integer Recommended Q4 measurable and observable 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q4_2, fidelity_s_q4_2, fidelity_t_q4_2
Query fidelity_p_q5_1 Integer Recommended Q5 identifies at least three priority concerns 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q5_1, fidelity_s_q5_1, fidelity_t_q5_1
Query fidelity_p_q5_2 Integer Recommended Q5 prioritizes concerns that relate to home community and school 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q5_2, fidelity_s_q5_2, fidelity_t_q5_2
Query fidelity_p_q5_3 Integer Recommended Q5 identifies specific skills that the student must learn in order to accomplish each of the priority concerns 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q5_3, fidelity_s_q5_3, fidelity_t_q5_3
Query fidelity_p_q5_4 Integer Recommended Q5 links the specific teaching strategies to each identified skill 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q5_4, fidelity_s_q5_4, fidelity_t_q5_4
Query fidelity_p_q6_1 Integer Recommended Q6 are developed after goals are generated 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q6_1, fidelity_s_q6_1, fidelity_t_q6_1
Query fidelity_p_q6_2 Integer Recommended Q6 are individualized for the student and the goal 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q6_2, fidelity_s_q6_2, fidelity_t_q6_2
Query fidelity_p_q6_3 Integer Recommended Q6 are described in behavior terms 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q6_3, fidelity_s_q6_3, fidelity_t_q6_3
Query fidelity_p_q7_1 Integer Recommended Q7 there was a discussion of specific environmental factors for each goal 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q7_1, fidelity_s_q7_1, fidelity_t_q7_1
Query fidelity_p_q7_2 Integer Recommended Q7 the philosophy of the environment as an important factor in determining student program is discussed 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q7_2, fidelity_s_q7_2, fidelity_t_q7_2
Query fidelity_p_q7_3 Integer Recommended Q7 team completes and discusses COMPASS forms on student's strengths/ challenges and environment's strengths challenges 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q7_3, fidelity_s_q7_3, fidelity_t_q7_3
Query fidelity_p_q8_1 Integer Recommended Q8 Family members report that they have a better perspective on school issues 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q8_1, fidelity_s_q8_1, fidelity_t_q8_1
Query fidelity_p_q8_2 Integer Recommended Q8 Teachers report that they have a better perspective on home and community issues 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q8_2, fidelity_s_q8_2, fidelity_t_q8_2
Query fidelity_p_q9_1 Integer Recommended Q9 interactive problem solving is implemented by team members providing input and ideas 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q9_1, fidelity_s_q9_1, fidelity_t_q9_1
Query fidelity_p_q9_2 Integer Recommended Q9 specific problems for implementation and solutions are identified 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q9_2, fidelity_s_q9_2, fidelity_t_q9_2
Query fidelity_p_q9_3 Integer Recommended Q9 members learn a framework for problem solving that can be used again by individual team members when needed 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q9_3, fidelity_s_q9_3, fidelity_t_q9_3
Query fidelity_p_q10_1 Integer Recommended Q10 needed services to help reach goals 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q10_1, fidelity_s_q10_1, fidelity_t_q10_1
Query fidelity_p_q10_2 Integer Recommended Q10 a plan to get the services 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q10_2, fidelity_s_q10_2, fidelity_t_q10_2
Query fidelity_p_q11_1 Integer Recommended Q11 how the person will spend his her day 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q11_1, fidelity_s_q11_1, fidelity_t_q11_1
Query fidelity_p_q11_2 Integer Recommended Q11 where the person will live 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q11_2, fidelity_s_q11_2, fidelity_t_q11_2
Query fidelity_p_q11_3 Integer Recommended Q11 how the person will move about in the community 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q11_3, fidelity_s_q11_3, fidelity_t_q11_3
Query fidelity_p_q11_4 Integer Recommended Q11 how the person will make financial health decisions 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q11_4, fidelity_s_q11_4, fidelity_t_q11_4
Query fidelity_p_q11_5 Integer Recommended Q11 how the person will spend his her leisure and recreation time 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q11_5, fidelity_s_q11_5, fidelity_t_q11_5
Query fidelity_p_q11_6 Integer Recommended Q11 how the person will develop and maintain friendships 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q11_6, fidelity_s_q11_6, fidelity_t_q11_6
Query fidelity_p_q12_1 Integer Recommended Q12 that came from the COMPASS forms for strengths, preferences, frustrations, and fears 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q12_1, fidelity_s_q12_1, fidelity_t_q12_1
Query fidelity_p_q12_2 Integer Recommended Q12 directly during the COMPASS meeting 0;1; 888; 999 0 = no; 1 = yes; 888 = not applicable; 999 = missing fidelity_r_q12_2, fidelity_s_q12_2, fidelity_t_q12_2
Query fidelity_p_total Integer Required Consultation Fidelity Checklist total 0::35; 888; 999 888 = not applicable; 999 = missing fidelity_r_total, fidelity_s_total, fidelity_t_total
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.