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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 filter 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

  • What is a 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.
  • What do I do after filters are added to the Filter Cart?
    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.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    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.

Glossary

  • Workspace
    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.
  • 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 adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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Beck Hopelessness Scale

4,983 Shared Subjects

N/A
Clinical Assessments
Depression
12/22/2014
bhs01
07/14/2022
View Change History
01
Definition
Submission Template
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 patid, stepid
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 gender
Query pathway Integer Recommended step pathway 1::9 1=SCP; 2=AD-Acute Depression; 3=REFD-Refractory Dep; 4=RELP-Relapse Prevent; 5=Psy-AD-Psychosocial; 6=Psy-REL-Psychosocial; 7=Omega 3; 8=LiMRS; 9=PAD-Psychosocial
Query visit String 60 Recommended Visit name
Query daysrz Integer Recommended days since randomization
Query futhope Integer Recommended I look forward to the future with hope and enthusiasm 0;1;-7 0=True; 1=False; -7=Refused beckhope_1r, bhs1_u, bhs_1
Query giveup Integer Recommended I might as well give up because there's nothing I can do about making things better for myself. 0;1;-7 1=True; 0=False; -7=Refused beckhope_2, bhs2_u, bhs_2
Query whenbad Integer Recommended When things are going badly, I am helped by knowing that they cant stay that way forever 0;1;-7 0=True; 1=False; -7=Refused beckhope_3r, bhs3_u, bhs_3
Query life10yr Integer Recommended I can't imagine what my life would be like in ten years 0;1;-7 1=True; 0=False; -7=Refused beckhope_4, bhs4_u, bhs_4
Query accomp Integer Recommended I have enough time to accomplish the things I most want to do 0;1;-7 0=True; 1=False; -7=Refused beckhope_5r, bhs5_u, bhs_5
Query succeed Integer Recommended In the future, I expect to succeed in what concerns me the most 0;1;-7 0=True; 1=False; -7=Refused beckhope_6r, bhs6_u, bhs_6
Query futdark Integer Recommended My future seems dark to me 0;1;-7 1=True; 0=False; -7=Refused beckhope_7, bhs7_u, bhs_7
Query lucky Integer Recommended I happen to be particularly lucky, and I expect to get more of the good things in life than the average person 0;1;-7 0=True; 1=False; -7=Refused beckhope_8r, bhs8_u, bhs_8
Query nobreaks Integer Recommended I just don't get the breaks, and there's no reason to believe I will in the future 0;1;-7 1=True; 0=False; -7=Refused beckhope_9, bhs9_u, bhs_9
Query futprep Integer Recommended My past experiences have prepared me well for my future 0;1;-7 0=True; 1=False; -7=Refused beckhope_10r, bhs10_u, bhs_10
Query futunpls Integer Recommended All I can see ahead of me is unpleasantness rather than pleasantness 0;1;-7 1=True; 0=False; -7=Refused beckhope_11, bhs11_u, bhs_11
Query noexpect Integer Recommended I don't expect to get what I really want. 0;1;-7 1=True; 0=False; -7=Refused beckhope_12, bhs12_u, bhs_12
Query futhappy Integer Recommended When I look ahead to the future, I expect I will be happier than I am now 0;1;-7 0=True; 1=False; -7=Refused beckhope_13r, bhs13_u, bhs_13
Query things Integer Recommended Things just won't work out the way I want them to 0;1;-7 1=True; 0=False; -7=Refused beckhope_14, bhs14_u, bhs_14
Query futfaith Integer Recommended I have great faith in the future 0;1;-7 0=True; 1=False; -7=Refused beckhope_15r, bhs15_u, bhs_15
Query neverget Integer Recommended I never get what I want so it's foolish to want anything. 0;1;-7 1=True; 0=False; -7=Refused beckhope_16, bhs16_u, bhs_16
Query nosatisf Integer Recommended It is very unlikely that I will get any real satisfaction in the future 0;1;-7 1=True; 0=False; -7=Refused beckhope_17, bhs17_u, bhs_17
Query futvague Integer Recommended The future seems vague and uncertain to me 0;1;-7 1=True; 0=False; -7=Refused beckhope_18, bhs18_u, bhs_18
Query moregood Integer Recommended I can look forward to more good times than bad times 0;1;-7 0=True; 1=False; -7=Refused beckhope_19r, bhs19_u, bhs_19
Query nousetry Integer Recommended There's no use in really trying to get something I want because I probably won't get it. 0;1;-7 1=True; 0=False; -7=Refused beckhope_20, bhs20_u, bhs_20
Query site String 101 Recommended Site Study Site site_id
Query bhstotsc Integer Recommended BHS total score 0::20 0-3 minimal; 4-8 mild; 9-14 moderate; 15-20 severe bhd_s, bhs_total
Query bsit0 Float Recommended Weeks from Time 0/baseline to assessment bhst0
Query asstyp Integer Recommended Assessment type 1::20 1=TADS GATE A; 2=TADS GATE B; 3 = TADS Gate C; 4 = TADS Week 6; 5 = TADS Week 12; 6 = TADS Week 18; 7 = TADS Week 24; 8 = TADS Week 30; 9 = TADS Week 36; 10 = TADS F/U Mo 3; 11 = TADS F/U Mo 6; 12 = TADS F/U Mo 9; 13 = TADS F/U Mo 12; 14 = SOFTAD month 6; 15 = SOFTAD month 12; 16 = SOFTAD month 18; 17 = SOFTAD month 24; 18 = SOFTAD month 30; 19 = SOFTAD month 36; 20 = SOFTAD month 42
Query stage Integer Recommended Study stage
0::5; 51::53; 67; -888; -999
0 = Pre-Randomization (TADS) 1 = Stage 1 (TADS) 2 = Stage 2 (TADS) 3 = Stage 3 (TADS) 4 = Stage 4 (TADS) 5 = Stage 5 (SOFTAD); 51=Treatmentas Usual; 52=Screening Alone; 53=Intervention; 67=Unknown; -888=Not Applicable; -999=Missing;
Query bhs1 Integer Recommended Question 1. I look forward to the future with hope and enthusiasm (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS1 is missing then BHS1 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs2 Integer Recommended Question 2. I might as well give up because there is nothing I can do about making things better for myself (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS2 is missing then BHS2 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs3 Integer Recommended Question 3. When things are going badly, I am helped by knowing that they cannot stay that way forever (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS3 is missing then BHS3 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs4 Integer Recommended Question 4. I can't imagine what my life would be like in ten years (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS4 is missing then BHS4 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs5 Integer Recommended Question 5. I have enough time to accomplish the things I want to do (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS5 is missing then BHS5 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs6 Integer Recommended Question 6. In the future, I expect to succeed in what concerns me most (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS6 is missing then BHS6 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs7 Integer Recommended Question 7. My future seems dark to me (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS7 is missing then BHS7 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs8 Integer Recommended Question 8. I happen to be particularly lucky, and I expect to get more of the good things in life than the average person (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS8 is missing then BHS8 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs9 Integer Recommended Question 9. I just can't get the breaks, and there's no reason I will in the future (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS9 is missing then BHS9 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs10 Integer Recommended Question 10. My past experiences have prepared me well for the future (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS10 is missing then BHS10 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs11 Integer Recommended Question 11. All I can see ahead of me is unpleasantness rather than pleasantness (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS11 is missing then BHS11 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs12 Integer Recommended Question 12. I don't expect to get what I really want (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS12 is missing then BHS12 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs13 Integer Recommended Question 13. When I look ahead to the future, I expect that I will be happier than I am now (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS13 is missing then BHS13 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs14 Integer Recommended Question 14. Things just won't work out the way I want them to (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS14 is missing then BHS14 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs15 Integer Recommended Question 15. I have great faith in the future (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS15 is missing then BHS15 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs16 Integer Recommended Question 16. I never get what I want, so it's foolish to want anything (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS16 is missing then BHS16 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs17 Integer Recommended Question 17. It's very unlikely that I will get any real satisfaction in the future (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS17 is missing then BHS17 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs18 Integer Recommended Question 18. The future seems vague and uncertain to me (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS18 is missing then BHS18 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs19 Integer Recommended Question 19. I can look forward to more good times than bad times (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS19 is missing then BHS19 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 1 = False; 0 = True
Query bhs20 Integer Recommended Question 20. There's no use in really trying to get anything I want because I probably won't get it (Imputed Version)Imputation Rule: If less than 5 of BHS1_U through BHS20_U are missing and BHS20 is missing then BHS20 = integer(median of non- missing BHS1_U through BHS20_U) 1;0 0 = False; 1 = True
Query bhs_tot Integer Recommended BHS Total Score using imputed values 0::20 This score is missing if less than 16 of the 20 items are answered. Items included in score: BHS1, BHS2, BHS3, BHS4, BHS5, BHS6, BHS7, BHS8, BHS9, BHS10, BHS11, BHS12, BHS13, BHS14, BHS15, BHS16, BHS17, BHS18, BHS19, BHS20
Query week Float Recommended Week in level/study 99=week 10-week 14
Query baina Integer Recommended Number of valid answers
Query days_baseline Integer Recommended Days since baseline
condition_c Integer Recommended Patient Condition 0::2 0 = Control; 1 = Self-Affirmation; 2 = Expressive Writing condition.c
timepoint_label String 50 Recommended Timepoint/visit label assessment.c
bhs_miss Integer Recommended bhs MISSCODE 0::26;99;925 0 = DATA COLLECTED PRIOR TO IMPLEMENTING MISSING CODES ; 1 = DONE - COMPLETE ; 2 = CLINICAL STATUS OF PATIENT ; 3 = PHYSICAL STATUS OF PATIENT ; 4 = TIME CONSTRAINTS ; 5 = THERAPIST NEGLECTED TO COMPLETE OR GIVE FORM TO PATIENT ; 6 = PATIENT REFUSAL ; 7 = THIS WAS NOT A REGULARLY SCHEDULED PROTOCOL APPOINTMENT ; 8 = FORMS WERE NOT IN CHART; UNABLE TO LOCATE HARD COPY OF FORM ; 9 = IN PROCESS; ASSESSMENT NOT RETURNED AND IS PENDING NEXT VISIT ; 10 = ASSESSMENT RETURNED INCOMPLETE; SENT BACK TO RATER OR PATIENT ; 11 = ITEMS ARE MISSING AND CAN NOT BE RETRIEVED ; 12 = INVALID SAMPLE COLLECTION ; 13 = PARTIAL SAMPLE COLLECTION ; 14 = LAB ERROR ; 15 = NOT APPLICABLE ; 16 = CONTACT DONE VIA PHONE ; 17 = UNABLE TO BE COMPLETED DUE TO COGNITIVE STATUS OF PATIENT ; 18 = MEDICAL DATA COLLECTION DEFERRED PENDING AVAILABILITY OF DOCTOR/NURSE ; 19 = NO MEMORY OF INFORMATION ; 20 = PATIENT TERMINATED FROM STUDY DURING VISIT ; 21 = EQUIPMENT NOT AVAILABLE ; 22 = EQUIPMENT NOT WORKING PROPERLY ; 23 = NOT PART OF PROTOCOL AT TIME SUBJECT WAS STUDIED ; 24 = NOT ABLE TO CONTACT SUBJECT TO SCHEDULE ; 25 = PARTIC UNABLE TO UNDERSTAND DUE TO LANGUAGE BARRIER ; 26 = DONE ON WDX, PESTERING ON ; 99 = DATA FLAGGED BY THE PI AND MAY NEED TO BE EXCLUDED FROM ANALYSIS ; 925 = SKIP VISIT
studyphase Integer Recommended Study Phase 1::6; -888; -999 1=Phase 1: Treatment as Usual(TAU); 2=Phase 2: Screening Only; 3=Phase 3: Intervention; 4=Focus Groups; 5=Open Trial; 6=Randomized Trial; -888=Not Applicable; -999=Missing;
treatmentgroup String 30 Recommended Treatment condition
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.