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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).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

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.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

  • 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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CTAS Computer-Assisted Cognitive-Behavior Therapy for Depression

0 Shared Subjects

Computer-assisted cognitive-behavior therapy, a treatment that has been shown to be effective in previous studies in psychiatric settings, will be disseminated into primary care - a health care setting where there are significant problems in receiving adequate treatment for depression. CTAS is a questionnaire that checks the patient’s current understanding of some of the basic concepts of cognitive therapy.
Clinical Assessments
Cognitive
10/28/2021
ctas01
11/30/2021
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
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 subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported
timepoint_label String 15 Recommended Timepoint/visit label
ctas02 Integer Recommended Examples of cognition include: Anxious or depressed feelings 1;2 1= Yes; 2= No
ctas03 Integer Recommended Examples of cognition include: Automatic thoughts 1;2 1= Yes; 2= No
ctas04 Integer Recommended Examples of cognition include: Negative behaviors 1;2 1= Yes; 2= No
ctas05 Integer Recommended Examples of cognition include: Schemas 1;2 1= Yes; 2= No
ctas06 Integer Recommended Helpful techniques that are taught in cognitive therapy include: Directional change 1;2 1= Yes; 2= No
ctas07 Integer Recommended Helpful techniques that are taught in cognitive therapy include: Examining the evidence 1;2 1= Yes; 2= No
ctas08 Integer Recommended Helpful techniques that are taught in cognitive therapy include: Activity scheduling 1;2 1= Yes; 2= No
ctas09 Integer Recommended Helpful techniques that are taught in cognitive therapy include: Emotional reasoning 1;2 1= Yes; 2= No
ctas10 Integer Recommended Automatic thoughts can be described as: Out of your control 1;2 1= Yes; 2= No
ctas11 Integer Recommended Automatic thoughts can be described as: Private 1;2 1= Yes; 2= No
ctas12 Integer Recommended Automatic thoughts can be described as: Usually rational 1;2 1= Yes; 2= No
ctas13 Integer Recommended Automatic thoughts can be described as: Caused by unhappy feelings 1;2 1= Yes; 2= No
ctas14 Integer Recommended Examples of emotions include: Thinking you're not good enough 1;2 1= Yes; 2= No
ctas15 Integer Recommended Examples of emotions include: Waiting to give up 1;2 1= Yes; 2= No
ctas16 Integer Recommended Examples of emotions include: Reacting with sadness 1;2 1= Yes; 2= No
ctas17 Integer Recommended Examples of emotions include: Deciding not to show your fear 1;2 1= Yes; 2= No
ctas18 Integer Recommended Thought recording exercise (for example the "Thought Change Record") may involve writing down the following types of information: Outcomes 1;2 1= Yes; 2= No
ctas19 Integer Recommended Thought recording exercise (for example the "Thought Change Record") may involve writing down the following types of information: Emotions 1;2 1= Yes; 2= No
ctas20 Integer Recommended Thought recording exercise (for example the "Thought Change Record") may involve writing down the following types of information: Unconscious thoughts 1;2 1= Yes; 2= No
ctas21 Integer Recommended Thought recording exercise (for example the "Thought Change Record") may involve writing down the following types of information: Events 1;2 1= Yes; 2= No
ctas22 Integer Recommended Mr. R., a salesman, was performing about ten percent below his sales target for the year. The problem was largely due to an economic downturn in his region of the country. Although his job wasn't really threatened and his family relationships were in good shape, Mr. R. began to think "Everything is falling apart-I'll lose it all." What kind of mistakes in thinking might he be having? Overgeneralization 1;2 1= Yes; 2= No
ctas23 Integer Recommended Mr. R., a salesman, was performing about ten percent below his sales target for the year. The problem was largely due to an economic downturn in his region of the country. Although his job wasn't really threatened and his family relationships were in good shape, Mr. R. began to think "Everything is falling apart-I'll lose it all." What kind of mistakes in thinking might he be having? Mind reading 1;2 1= Yes; 2= No
ctas24 Integer Recommended Mr. R., a salesman, was performing about ten percent below his sales target for the year. The problem was largely due to an economic downturn in his region of the country. Although his job wasn't really threatened and his family relationships were in good shape, Mr. R. began to think "Everything is falling apart-I'll lose it all." What kind of mistakes in thinking might he be having? Ignoring the evidence 1;2 1= Yes; 2= No
ctas25 Integer Recommended Mr. R., a salesman, was performing about ten percent below his sales target for the year. The problem was largely due to an economic downturn in his region of the country. Although his job wasn't really threatened and his family relationships were in good shape, Mr. R. began to think "Everything is falling apart-I'll lose it all." What kind of mistakes in thinking might he be having? Untracking 1;2 1= Yes; 2= No
ctas26 Integer Recommended Mr. R., the salesman described in the previous question, decided to start cognitive therapy. Which of these techniques do you think might help him? Emotional reasoning 1;2 1= Yes; 2= No
ctas27 Integer Recommended Mr. R., the salesman described in the previous question, decided to start cognitive therapy. Which of these techniques do you think might help him? Programming 1;2 1= Yes; 2= No
ctas28 Integer Recommended Mr. R., the salesman described in the previous question, decided to start cognitive therapy. Which of these techniques do you think might help him? Denying automatic thoughts 1;2 1= Yes; 2= No
ctas29 Integer Recommended Mr. R., the salesman described in the previous question, decided to start cognitive therapy. Which of these techniques do you think might help him? Labeling cognitive errors or distortions 1;2 1= Yes; 2= No
ctas30 Integer Recommended Ms. T. has a number of long standing negative attitudes such as "I never succeed" and "I have to be perfect to be accepted." No matter how hard she tries she always seems to think that she is "not measuring up". What cognitive procedures do you think might help her? Listing advantages and disadvantages 1;2 1= Yes; 2= No
ctas31 Integer Recommended Ms. T. has a number of long standing negative attitudes such as "I never succeed" and "I have to be perfect to be accepted." No matter how hard she tries she always seems to think that she is "not measuring up". What cognitive procedures do you think might help her? Breaking out 1;2 1= Yes; 2= No
ctas32 Integer Recommended Ms. T. has a number of long standing negative attitudes such as "I never succeed" and "I have to be perfect to be accepted." No matter how hard she tries she always seems to think that she is "not measuring up". What cognitive procedures do you think might help her? Listing schemas 1;2 1= Yes; 2= No
ctas33 Integer Recommended Ms. T. has a number of long standing negative attitudes such as "I never succeed" and "I have to be perfect to be accepted." No matter how hard she tries she always seems to think that she is "not measuring up". What cognitive procedures do you think might help her? Thought recording 1;2 1= Yes; 2= No
ctas34 Integer Recommended Mr. G. has been feeling depressed and has withdrawn from most of the activities that he used to enjoy. It seems like nothing gives him pleasure anymore. What would you recommend that he do? Use an activity schedule 1;2 1= Yes; 2= No
ctas35 Integer Recommended Mr. G. has been feeling depressed and has withdrawn from most of the activities that he used to enjoy. It seems like nothing gives him pleasure anymore. What would you recommend that he do? Stay away from all stressful situations 1;2 1= Yes; 2= No
ctas36 Integer Recommended Mr. G. has been feeling depressed and has withdrawn from most of the activities that he used to enjoy. It seems like nothing gives him pleasure anymore. What would you recommend that he do? Don't push for change until he starts to feel better 1;2 1= Yes; 2= No
ctas37 Integer Recommended Mr. G. has been feeling depressed and has withdrawn from most of the activities that he used to enjoy. It seems like nothing gives him pleasure anymore. What would you recommend that he do? Record levels of mastery and pleasure 1;2 1= Yes; 2= No
ctas38 Integer Recommended Which of the following statements accurately describe schemas? Are upsetting emotions 1;2 1= Yes; 2= No
ctas39 Integer Recommended Which of the following statements accurately describe schemas? Often stimulate automatic thoughts 1;2 1= Yes; 2= No
ctas40 Integer Recommended Which of the following statements accurately describe schemas? Act as underlying rules 1;2 1= Yes; 2= No
ctas41 Integer Recommended Which of the following statements accurately describe schemas? Can be very helpful 1;2 1= Yes; 2= No
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.