NDA Help Center

Login Dialog

Frequently Asked Questions

Glossary

NDA Help Center

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. 

Loading...

Login
Reset Password

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.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

Update Password

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

  • Uppercase
  • Lowercase
  • Numbers
  • Special Characters limited to: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the NIMH Data Archive (NDA) web site to go to:

Click on the address above if the page does not change within 10 seconds.

Disclaimer

NDA is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
Filter Cart
No filters selected
Description
Value Range
Notes
Data Structures with shared data
No filters have been selected
Switch User

Cambridge Neuropsychological Tests Automated Battery

37 Shared Subjects

N/A
Clinical Assessments
Cognitive
07/07/2017
cantab01
07/07/2017
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 id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field adate
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
Query visit String 60 Recommended Visit name tpoint
version_form String 121 Recommended Form used/assessment name
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
Query age_days_dot_to_dob Integer Recommended Age in days obtained by subtracting the date of birth from the date of test cantab_age_days_dot_to_dob
Query admin_status String 20 Recommended Instrument administration status Complete;Partial;Not Administered;Not Applicable cantab_administration_status
Query cantab1 Float Recommended Motor Screening: Mean Response Latency ms
Query cantab2 Float Recommended Motor Screening: Accuracy 0::100 Percent correctly pointed to
Query cantab3 Float Recommended Pattern recognition memory: Mean Latency to Correct Responses ms
Query cantab4 Integer Recommended Pattern recognition memory: Number of Correct Responses
Query cantab5 Float Recommended Pattern recognition memory: Percent of Correct Responses 0::100 Percent correct
Query cantab6 Float Recommended Spatial memory span: Length of memory span longest sequence successfully recalled
Query cantab7 Integer Recommended Spatial memory span: Total Errors
Query cantab8 Integer Recommended Spatial memory span: Total Usage Errors
Query cantab9 Float Recommended Spatial memory span: Mean Latency ms
Query cantab10 Integer Recommended Intradimensional/ extradimensional shift: Total errors
cantab_ied_initial_shift String 10 Recommended CANTAB: ID/ED set shift subtest indicates whether the initial set shift was intra or extradimensional
cantab_ied_original_dimension String 10 Recommended CANTAB: ID/ED set shift subtest original dimension (i.e., shape)
Query cantab_ied_outcome String 30 Recommended CANTAB: ID/ED set shift subtest outcome Y; N; F; A test completed; test not completed; test aborted; test failed
Query cantab_ied_stage_all_error Integer Recommended CANTAB: ID/ED set shift subtest total number of errors for all stages
Query cantab_ied_stage_all_latency Integer Recommended CANTAB: ID/ED set shift subtest average latency for all trials across all stages
Query cantab_ied_stage_all_trials Integer Recommended CANTAB: ID/ED set shift subtest total number of trials completed across al stages
Query cantab_ied_stage1_error Integer Recommended CANTAB: ID/ED set shift subtest stage 1 total number of errors
Query cantab_ied_stage1_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 1 average latency for all the trials
Query cantab_ied_stage1_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 1 total number of trials
Query cantab_ied_stage2_error Integer Recommended CANTAB: ID/ED set shift subtest stage 2 total number of errors
Query cantab_ied_stage2_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 2 average latency for all the trials for all the trials
Query cantab_ied_stage2_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 2 total number of trials
Query cantab_ied_stage3_error Integer Recommended CANTAB: ID/ED set shift subtest stage 3 total number of errors
Query cantab_ied_stage3_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 3 average latency for all the trials
Query cantab_ied_stage3_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 3 total number of trials
Query cantab_ied_stage4_error Integer Recommended CANTAB: ID/ED set shift subtest stage 4 total number of errors
Query cantab_ied_stage4_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 4 average latency for all the trials
Query cantab_ied_stage4_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 4 total number of trials
Query cantab_ied_stage5_error Integer Recommended CANTAB: ID/ED set shift subtest stage 5 total number of errors
Query cantab_ied_stage5_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 5 average latency for all the trials
Query cantab_ied_stage5_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 5 total number of trials
Query cantab_ied_stage6_error Integer Recommended CANTAB: ID/ED set shift subtest stage 6 total number of errors
Query cantab_ied_stage6_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 6 average latency for all the trials
Query cantab_ied_stage6_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 6 total number of trials
Query cantab_ied_stage7_error Integer Recommended CANTAB: ID/ED set shift subtest stage 7 total number of errors
Query cantab_ied_stage7_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 7 average latency for all the trials
Query cantab_ied_stage7_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 7 total number of trials
Query cantab_ied_stage8_error Integer Recommended CANTAB: ID/ED set shift subtest stage 8 total number of errors
Query cantab_ied_stage8_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 8 average latency for all the trials
Query cantab_ied_stage8_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 8 total number of trials
Query cantab_ied_stage9_error Integer Recommended CANTAB: ID/ED set shift subtest stage 9 total number of errors
Query cantab_ied_stage9_latency Integer Recommended CANTAB: ID/ED set shift subtest stage 9 average latency for all the trials
Query cantab_ied_stage9_trial Integer Recommended CANTAB: ID/ED set shift subtest stage 9 total number of trials
Query cantab_ied_stages_completed Integer Recommended CANTAB: ID/ED set shift subtest total number of stages completed up to a maximum of 9
Query cantab23 Integer Recommended Stockings of Cambridge: Number of moves
Query cantab24 Integer Recommended Stockings of Cambridge: Problems solved in minimum moves
Query cantab25 Float Recommended Stockings of Cambridge: Mean initial thinking time seconds
Query cantab26 Float Recommended Stockings of Cambridge: Subsequent thinking time across all levels seconds
Query cantab27 Float Recommended Stockings of Cambridge: Mean subsequent thinking time seconds
Query cantab28 Integer Recommended Verbal Recognition Memory: Amount of words produced after presentation
Query cantab29 Integer Recommended Verbal Recognition Memory: Amount of words recognized from mixed list of presented words and distractors
Query cantab30 Integer Recommended Verbal Recognition Memory: Amount of words recognized from mixed list of presented words and distractors after 20 minutes
Query cantab31 Float Recommended Cambridge Gambling Task Trial 1: Score change The difference between the starting points and points at end of task
Query cantab32 Float Recommended Cambridge Gambling Task Trial 1: Mean decision making speed seconds
Query cantab33 Float Recommended Cambridge Gambling Task Trial 1: Percentage chose the most likely outcome
Query cantab34 Float Recommended Cambridge Gambling Task Trial 1: Ratio of the boxes Expressed in decimal; red/blue
Query cantab35 Float Recommended Cambridge Gambling Task Trial 2: Score change The difference between the starting points and points at end of task
Query cantab36 Float Recommended Cambridge Gambling Task Trial 2: Mean decision making speed seconds
Query cantab37 Float Recommended Cambridge Gambling Task Trial 2: Percentage chose the most likely outcome
Query cantab38 Float Recommended Cambridge Gambling Task Trial 2: Ratio of the boxes Expressed in decimal; red/blue
data_file1 File Recommended Data file 1
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form 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.