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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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Interpersonal Reactivity Index (IRI)

1,387 Shared Subjects

Davis' Interpersonal Reactivity Index (IRI) The following statements inquire about thoughts and feelings in a variety of situations.
Clinical Assessments
Questionnaire
09/27/2012
iri01
09/27/2012
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 record_id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field iri_doa
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
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data iri_notes
Query daydream Integer Recommended Fantasy Scale. I daydream and fantasize, with some regularity, about things that might happen to me. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q01, iri_1_fs
Query tender_feelings Integer Recommended Empathic Concern Scale. I often have tender, concerned feelings for people less fortunate than me. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q02, iri_2_ec
Query difficult_other_pov Integer Recommended Perspective-Taking Scale. I sometimes find it difficult to see things from the "other guy's" point of view. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q03, iri_3_pt
Query dont_feel_sorry_problems Integer Recommended Empathic Concern Scale. Sometimes I don't feel very sorry for other people when they are having problems. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q04, iri_4_ec
Query involved_characters Integer Recommended Fantasy Scale. I really get involved with the feelings of the characters in a novel. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q05, iri_5_fs
Query emergency_apprehension Integer Recommended Personal Distress Scale. In emergency situations, I feel apprehensive and ill-at-ease. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q06, iri_6_pd
Query objective_watching Integer Recommended Fantasy Scale. I am usually objective when I watch a movie or play, and I don't often get completely caught up in it. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q07, iri_7_fs
Query all_sides_disagreement Integer Recommended Perspective-Taking Scale. I try to look at everybody's side of a disagreement before I make a decision. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q08, iri_8_pt
Query protective Integer Recommended Empathic Concern Scale. When I see someone being taken advantage of, I feel kind of protective towards them. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q09, iri_9_ec
Query helpless Integer Recommended Personal Distress Scale. I sometimes feel helpless when I am in the middle of a very emotional situation. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q10, iri_10_pd
Query other_perspective Integer Recommended Perspective-Taking Scale. I sometimes try to understand my friends better by imagining how things look from their perspective. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q11, iri_11_pt
Query involved_rare Integer Recommended Fantasy Scale. Becoming extremely involved in a good book or movie is somewhat rare for me. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q12, iri_12_fs
Query hurt_stay_calm Integer Recommended Personal Distress Scale. When I see someone get hurt, I tend to remain calm. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q13, iri_13_pd
Query misfortunes_not_disturbed Integer Recommended Empathic Concern Scale. Other people's misfortunes do not usually disturb me a great deal. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q14, iri_14_ec
Query arguments_dont_listen Integer Recommended Perspective-Taking Scale. If I'm sure I'm right about something, I don't waste much time listening to other people's arguments. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q15, iri_15_pt
Query movie_characters Integer Recommended Fantasy Scale. After seeing a play or movie, I have felt as though I were one of the characters. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q16, iri_16_fs
Query tense_emotional Integer Recommended Personal Distress Scale. Being in a tense emotional situation scares me. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q17, iri_17_pd
Query unfairly_pity Integer Recommended Empathic Concern Scale. When I see someone being treated unfairly, I sometimes don't feel very much pity for them. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q18, iri_18_ec
Query effective_emergencies Integer Recommended Personal Distress Scale. I am usually pretty effective in dealing with emergencies. 0::4 4 = A (Does not describe me well); 3 = B; 2 = C; 1 = D; 0 = E (Describes me very well) iri28_q19, iri_19_pd
Query touched Integer Recommended Empathic Concern Scale. I am often quite touched by things that I see happen. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q20, iri_20_ec
Query see_both_sides Integer Recommended Perspective-Taking Scale. I believe that there are two sides to every question and try to look at them both. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q21, iri_21_pt
Query describe_soft_hearted Integer Recommended Empathic Concern Scale. I would describe myself as a pretty soft-hearted person. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q22, iri_22_ec
Query movie_characters_relate Integer Recommended Fantasy Scale. When I watch a good movie, I can very easily put myself in the place of a leading character. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q23, iri_23_fs
Query emergencies_lose_control Integer Recommended Personal Distress Scale. I tend to lose control during emergencies. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q24, iri_24_pd
Query upset_try_shoes Integer Recommended Perspective-Taking Scale. When I'm upset at someone, I usually try to "put myself in his shoes" for a while. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q25, iri_25_pt
Query novel_if_in_story Integer Recommended Fantasy Scale. When I am reading an interesting story or novel, I imagine how I would feel if the events in the story were happening to me. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q26, iri_26_fs
Query help_go_to_pieces Integer Recommended Personal Distress Scale. When I see someone who badly needs help in an emergency, I go to pieces. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q27, iri_27_pd
Query before_criticizing Integer Recommended Perspective-Taking Scale. Before criticizing somebody, I try to imagine how I would feel if I were in their place. 0::4 0 = A (Does not describe me well); 1 = B; 2 = C; 3 = D; 4 = E (Describes me very well) iri28_q28, iri_28_pt
Query iripd Float Required Personal distress score 0::28; 999 999=missing iri28_personaldistress, iri_factor_pd, scog_iri_factor_personal_distress
Query iriec Float Required Empathic concern score 0::28; 999 999=missing iri28_empathicconcern, iri_factor_ec, scog_iri_factor_empathic_concern
Query irifs Float Required Fantasy scale score 0::28; 999 999=missing iri28_fantasyscale, iri_factor_fs, scog_iri_factor_fantasy
Query iript Float Required Perspective taking score 0::28; 999 999=missing iri28_perspectivetaking, iri_factor_pt, scog_iri_factor_perspective
Query iri_total Float Recommended Total IRI score iri28_total
comments String 4,000 Recommended Comments about assessment iri_scoring
doa_futdt String 20 Recommended Future date entered (Assessment) iri_doa_futdt
dode String 10 Recommended Date of Data Entry iri_dode
dode_futdt String 20 Recommended Future date entered (Data Entry) iri_dode_futdt
Query form_completed Integer Recommended Was the form completed? 1::4 1=Yes; 2=No; 3=Unverified; 4 = N/A-Not in age range iri_form_complete
Query form_explain Integer Recommended Why was this form not completed? 86::99 99=Participant unable to complete due to cognitive impairment; 98=Participant unable to complete due to physical impairment; 97=Participant refused to begin/finish; 96=Participant completed but with less than best effort; 95=Participant unable to be contacted; 94=Participant deceased; 93=Participant withdrew consent; 92=Time constraints; 91=Rater forgot to administer; 90=Missed appointment; 89=Participant was terminated from study; 88=Other;87 = Not Done (reason unspecified); 86 = Not Applicable iri_explain
other_reason_nc String 100 Recommended Other reason form was not completed iri_other_reason_nc
Query assessment_complete Integer Recommended Complete? 0::2 0=Incomplete; 1=Unverified; 2=Complete iri_complete
protocol_summary String 2,000 Recommended Protocol summary
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.