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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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Correction Officer Survey

0 Shared Subjects

N/A
Clinical Assessments
Victimization
06/15/2020
cosurvey01
06/15/2020
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 visit String 60 Recommended Visit name redcap_event_name
race String 30 Recommended Race of study subject American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported c_race
ethnicity String 30 Recommended Ethnicity of participant Hispanic or Latino; Not Hispanic or Latino; Unknown c_ethnicity
race_other String 100 Recommended Race of Respondent Specify c_race_other
c_psychosis Integer Recommended 1. Psychosis often includes which one of the following symptoms: 1::5 1= A. Excessive Sleep; 2=B. Feeling hopeless; 3= C. Hearing voices; 4=D. Increased appetite; 5=E. Very high energy
c_challenge Integer Recommended 2. One of the main challenges to treating psychosis is: 1::5 1=A. It is very hard to find a treatment provider; 2=B. People are often too violent to engage in treatment; 3=C. Some people go for long periods of time before starting treatment; 4=The treatment is not usually covered by private insurance; 5=E. There are no treatments proven to be effective
c_symptom Integer Recommended 3. A common symptom of psychosis is: 1::5 1= A. Being overly happy and having extra; 2=B.Not eating enough and weight loss; 3= C. Sudden attacks of severe anxiety; 4=D. Thinking that others are watching or following; 5=E. Violence; theft; or physical attacks toward others
c_treatment Integer Recommended 4. The best treatment for the symptoms of psychosis is: 1::5 1=A. Medicine; 2=B. Relaxation; 3=C. Seclusion; 4=D. Strict diet; 5=E. Vitamins
c_sign Integer Recommended 5. Which of the following is a common sign of the early stage of psychosis: 1::5 1=A. Having anger; aggression; and violent attacks;2=B. Having anxiety attacks and nightmares; 3=C. Having problems knowing where you are; 4=D. Overeating and sleeping too much; 5=E. Whispering to yourself and withdrawing from others
c_arrange Integer Recommended 6. The best arrangement for a 20-year-old with psychosis is: 1::5 1=A. Half-way house or boarding house with others with psychosis; 2=B. Involuntary treatment in a locked inpatient psychiatric unit; 3=C. Remaining at home and not interacting too much with others; 4= D. Specialty care services that are available in all five boroughs; 5=E. Staying out of stressful situations like school or work
c_computer_chip Integer Recommended 7. A person believes the FBI has put a computer chip in his/her body. This symptom is called a: 1::5 1=A.Delusion; 2=B.Hallucination; 3=C. Obsession; 4=D. Phobia; 5=E. Worry
c_better Integer Recommended 8. People with psychosis usually do better if treatment: 1::5 1=A. Includes medicine at least twice daily; 2=B. Involves a court order to comply; 3=C.Is involuntary instead of voluntary;4=D. Is provided in a private practice; 5=E. Is started as soon as possible
c_inmate Integer Recommended 9. An inmate who just started experiencing psychosis might be observed to: 1::5 1=A. Always want attention from others; 2=B. Be among the most aggressive and violent; 3=C.Be quiet; seclusive; and not care about things; 4=D. Be very focused on maintaining personal hygiene; 5=E.Frequently ask for medications
c_time Integer Recommended 10. The best time to start treatment for psychosis is: 1::5 1=A. Before it starts; 2=B. As soon as symptoms appear; 3=C. Once its clear that symptoms arent going away;4=D.Once the person is in a stable living arrangement; 5=E. After determining how bad symptoms are going to get
c_psychosis1 Integer Recommended 1. I am adequately trained to identify inmates who might have psychosis. 1::4 1=Strongly disagree; 2=Disagree; 3= Agree; 4=Strongly agree
c_psychosis2 Integer Recommended 2. Referring inmates who appear to have psychosis to Mental Health can help get them into mental health services after release. 1::4 1=Strongly disagree; 2=Disagree; 3= Agree; 4=Strongly agree
c_psychosis3 Integer Recommended 3. I can describe the symptoms of psychosis. 1::4 1=Strongly disagree; 2=Disagree; 3= Agree; 4=Strongly agree
c_psychosis4 Integer Recommended 4. Specialty mental health services for psychosis after release are available and effective.. 1::4 1=Strongly disagree; 2=Disagree; 3= Agree; 4=Strongly agree
c_train_5 Integer Recommended 5. I am good at detecting the early symptoms of psychosis. 1::4 1=Strongly disagree; 2=Disagree; 3= Agree; 4=Strongly agree
c_train_6 Integer Recommended 6. The Mental Health service here has good connections with outpatient mental health treatment options for inmates after release. 1::4 1=Strongly disagree; 2=Disagree; 3= Agree; 4=Strongly agree
c_train_7 Integer Recommended 7. I am good at identifying inmates who need to be referred to Mental Health. 1::4 1=Strongly disagree; 2=Disagree; 3= Agree; 4=Strongly agree
c_train_8 Integer Recommended 8. Referring inmates to Mental Health as early as possible increases their chances of getting better. 1::4 1=Strongly disagree; 2=Disagree; 3= Agree; 4=Strongly agree
c_david1 Integer Recommended 1. How confident would you feel interacting with David? 1::4 1=Not at all confident; 2=Not very confident; 3=Somewhat confident; 4=Very confident
c_david2 Integer Recommended 2. How confident would you feel talking to David about possible mental health symptoms? 1::4 1=Not at all confident; 2=Not very confident; 3=Somewhat confident; 4=Very confident
c_david3 Integer Recommended 3. How confident would you feel in your ability to effectively communicate with David? 1::4 1=Not at all confident; 2=Not very confident; 3=Somewhat confident; 4=Very confident
c_david4 Integer Recommended 4. How confident would you feel referring David to Mental Health? 1::4 1=Not at all confident; 2=Not very confident; 3=Somewhat confident; 4=Very confident
c_david5 Integer Recommended 5. How confident would you feel talking to David about the benefits of mental health treatment? 1::4 1=Not at all confident; 2=Not very confident; 3=Somewhat confident; 4=Very confident
c_david6 Integer Recommended 6. How confident would you feel expressing understanding toward David? 1::4 1=Not at all confident; 2=Not very confident; 3=Somewhat confident; 4=Very confident
c_david7 Integer Recommended 7. How confident would you feel discussing David with a doctor in Mental Health? 1::4 1=Not at all confident; 2=Not very confident; 3=Somewhat confident; 4=Very confident
c_david8 Integer Recommended 8. How confident would you feel talking to your supervisor about referring David to Mental Health? 1::4 1=Not at all confident; 2=Not very confident; 3=Somewhat confident; 4=Very confident
c_david9 Integer Recommended 9. Once he is released, how willing would you be to live next door to David? 1::4 1=Very Unwilling; 2=Somewhat Unwilling; 3=Somewhat Willing; 4=Very Willing
c_david10 Integer Recommended 10. How willing would you be to spend an evening socializing with David? 1::4 1=Very Unwilling; 2=Somewhat Unwilling; 3=Somewhat Willing; 4=Very Willing
c_david11 Integer Recommended 11. How willing would you be to be friends with David? 1::4 1=Very Unwilling; 2=Somewhat Unwilling; 3=Somewhat Willing; 4=Very Willing
c_david12 Integer Recommended 12. How willing would you be to sit beside David on a bus? 1::4 1=Very Unwilling; 2=Somewhat Unwilling; 3=Somewhat Willing; 4=Very Willing
c_david13 Integer Recommended 13. How willing would you be to carry on a conversation with David? 1::4 1=Very Unwilling; 2=Somewhat Unwilling; 3=Somewhat Willing; 4=Very Willing
c_david14 Integer Recommended 14. How willing would you be to stand next to David in a line at the grocery store? 1::4 1=Very Unwilling; 2=Somewhat Unwilling; 3=Somewhat Willing; 4=Very Willing
c_david15 Integer Recommended 15. How willing would you be to have David come into your home to paint a room? 1::4 1=Very Unwilling; 2=Somewhat Unwilling; 3=Somewhat Willing; 4=Very Willing
c_david16 Integer Recommended 16. How willing would you be to give David advice on getting a job within a City agency? 1::4 1=Very Unwilling; 2=Somewhat Unwilling; 3=Somewhat Willing; 4=Very Willing
c_behexpscore Integer Recommended Behavioral Expectation: Total Score 8::32
c_socdiststigscor Integer Recommended Social Distance stigma: Total Score 8::32
c_selfeffconfscor Integer Recommended Self-efficacy/confidence: Total score 8::32
c_knowledgescor Integer Recommended Knowledge: Total Score 0::10
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.