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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

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Description
Value Range
Notes
Data Structures with shared data
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Obsessive-Compulsive Inventory - Revised (OCI-R)

oci_r

03

Obsessive-Compulsive Inventory - Revised (OCI-R)

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Element NameData TypeSizeRequiredDescriptionValue RangeNotes
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired field
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
informantString20RecommendedInformant completing test
Mother;Father;Both Parents;Other;Self
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
oci_r_q1IntegerRecommendedI have saved up so many things that they get in the way0 :: 4;999
oci_r_q2IntegerRecommendedI check things more often than necessary0 :: 4;999
oci_r_q3IntegerRecommendedI get upset if objects are not arranged properly0 :: 4;999
oci_r_q4IntegerRecommendedI feel compelled to count while I am doing things0 :: 4;999
oci_r_q5IntegerRecommendedI find it difficult to touch an object when I know it has been touched by strangers or certain people0 :: 4;999
oci_r_q6IntegerRecommendedI find it difficult to control my own thoughts0 :: 4;999
oci_r_q7IntegerRecommendedI collect things I don't need0 :: 4;999
oci_r_q8IntegerRecommendedI repeatedly check doors, windows, drawers, etc.0 :: 4;999
oci_r_q9IntegerRecommendedI get upset if others change the way I have arranged things0 :: 4;999
oci_r_q10IntegerRecommendedI feel I have to repeat certain numbers0 :: 4;999
oci_r_q11IntegerRecommendedI sometimes have to wash or clean myself simply because I feel contaminated0 :: 4;999
oci_r_q12IntegerRecommendedI am upset by unpleasant thoughts that come into my mind against my will0 :: 4;999
oci_r_q13IntegerRecommendedI avoid throwing things away because I am afraid I might need them later0 :: 4;999
oci_r_q14IntegerRecommendedI repeatedly check gas and water taps and light switches after turning them off0 :: 4;999
oci_r_q15IntegerRecommendedI need things to be arranged in a particular order0 :: 4;999
oci_r_q16IntegerRecommendedI feel that there are good and bad numbers0 :: 4;999
oci_r_q17IntegerRecommendedI wash my hands more ofgen and longer than necessary0 :: 4;999
oci_r_q18IntegerRecommendedI frequently get nasty thoughts and have difficulty in getting rid of them0 :: 4;999
oci_r_hoardingIntegerRecommendedOCI-R Hoarding subscale.OCI_R_Hoarding = sum(OCI_R_Q1,OCI_R_Q7,OCI_R_Q13)
oci_r_orderingIntegerRecommendedOCI-R Ordering subscaleOCI_R_Ordering = sum(OCI_R_Q3,OCI_R_Q9,OCI_R_Q15).
oci_r_checkingIntegerRecommendedOCI-R Checking subscaleOCI_R_Checking= sum(OCI_R_Q2,OCI_R_Q8,OCI_R_Q14).
oci_r_neutralizingIntegerRecommendedOCI-R Neutralizing subscale.OCI_R_Neutralizing = sum(OCI_R_Q4,OCI_R_Q10,OCI_R_Q16).
oci_r_obsessingIntegerRecommendedOCI-R Obsessing SubscaleOCI_R_Obsessing = sum(OCI_R_Q6,OCI_R_Q12,OCI_R_Q18).
oci_r_washingIntegerRecommendedOCI-R Washing subscaleOCI_R_Washing = sum(OCI_R_Q5,OCI_R_Q11,OCI_R_Q17)
oci_r_totalIntegerRecommendedOCI-R Total0 :: 72;999
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.

Distribution for DataStructure: oci_r03 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.