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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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College Experience

176 Shared Subjects

N/A
Clinical Assessments
Social Adjustment
02/11/2019
cey01
02/11/2019
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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
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 the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
eventname String 60 Required The event name for which the data was collected
vrt_easievis1_date Date Recommended Date of first study visit MM/DD/YYYY start_date
Query cey1_1 Integer Recommended What is your birth order? 0::4 0=only child; 1=oldest; 2=second born; 3=third born; 4=fourth or later
fs_v2_mother_education_level String 30 Recommended Full Screener (Visit 2): Verification of the biological mother's current education level (Response options - Less Than 6th Grade, Less Than High School, High School, Some College, College, Some Graduate Level, Graduate Level, NA)
Less Than 6th Grade;Less Than High School;High School;Some College;College;Some Graduate Level;Graduate Level; Master's-level degree; Doctoral degree;NA
NA = Not available cey1_2
fs_v2_father_education_level String 30 Recommended Full Screener (Visit 2): Verification of the biological father's current education level (Response options - Less Than 6th Grade, Less Than High School, High School, Some College, College, Some Graduate Level, Graduate Level, NA)
Less Than 6th Grade;Less Than High School;High School;Some College;College;Some Graduate Level;Graduate Level; Master's-level degree; Doctoral degree;NA
NA = Not available cey1_3
Query demosam_007 Integer Recommended Socioeconomic status of home of upbringing (i.e., parental home or family of origin) 1=Upper class; 2=Uppermiddle class; 3=Middle class; 4=Lowermiddle class; 5=Lower class; -999=Don't Know Missing Data cey1_4
Query cey1_5 Integer Recommended Your high school education was provided by: 0::4 0=Public schools; 1=Private schools; 2=Charter schools; 3=College-preparatory schools; 4=Home schooling
Query cey1_6 Integer Recommended How would you characterize your political orientation? 0::4 0=extremely conservative; 1=somewhat conservative; 2=in the middle; 3=somewhat liberal; 4=extremely liberal
Query cey1_7 Integer Recommended In addition to English, how many other languages can you read and speak fluently? 0::4 0=none; 1=one other; 2=two; 3=three; 4=four or more
Query cey1_8 Integer Recommended How would you rate your physical well-being? 0::4 0=Very poor; 1=Poor; 2=Average; 3=Good; 4=Very good cey1_31
Query cey1_9 Integer Recommended How would you rate your mental well-being? 0::4 0=Very poor; 1=Poor; 2=Average; 3=Good; 4=Very good cey1_32
Query cey1_10 Integer Recommended How physically active were you? 0::4 0=Not at all active; 1=Slightly active; 2=Somewhat active; 3=Very active; 4=Extremely active cey1_33
Query cey1_11 Integer Recommended Did you have healthy sleeping patterns? 0::4 0=Not at all healthy; 1=Slightly healthy; 2=Somewhat healthy; 3=Very healthy; 4=Extremely healthy cey1_34
Query cey1_12 Integer Recommended Did you have healthy eating patterns? 0::4 0=Not at all healthy; 1=Slightly healthy; 2=Somewhat healthy; 3=Very healthy; 4=Extremely healthy cey1_35
Query cey1_13 Integer Recommended How satisfied were you with your social life? 0::4 0=Not at all satisfied; 1=Slightly satisfied; 2=Somewhat satisfied; 3=Very satisfied; 4=Extremely satisfied cey1_36
Query cey1_14 Integer Recommended Lonely or homesick 0::4 0=Never; 1=Seldom; 2=Sometimes; 3=Often; 4=Almost always cey1_37
Query cey1_15 Integer Recommended Isolated from school life 0::4 0=Never; 1=Seldom; 2=Sometimes; 3=Often; 4=Almost always cey1_38
Query cey1_16 Integer Recommended Worried about your health 0::4 0=Never; 1=Seldom; 2=Sometimes; 3=Often; 4=Almost always cey1_39
Query cey1_17 Integer Recommended That my family provided me with support that helped me succeed 0::4 0=Never; 1=Seldom; 2=Sometimes; 3=Often; 4=Almost always cey1_40
Query cey1_18 Integer Recommended That teachers provided me with feedback that helped me assess my progress in my classes 0::4 0=Never; 1=Seldom; 2=Sometimes; 3=Often; 4=Almost always cey1_41
cey1_19 String 300 Recommended What types of careers were you interested in BEFORE you started at Dartmouth?
Query cey1_20 Integer Recommended Did you have a clear goal of what major you would pursue at the time when you started at Dartmouth? 0::2 0=No, I was not very clear at that time; 1=Yes, I had a clear goal; 2=I had a few majors in mind that I was planning to choose from
Query cey1_21 Integer Recommended Since starting at Dartmouth College have you changed your tentative career path? 0;1 0 = No; 1 = Yes
cey1_22 String 300 Recommended If you have changed your tentative career path since starting college, what is your tentative career path NOW?
Query cey1_23 Integer Recommended Since entering college have you decided to pursue a different major? 0::2 0 = No; 1 = Yes; 2=I have remained undecided about a major
Query cey1_24 Integer Recommended How stressful was the past summer? 0::4 0=No at all stressful; 1=Not very stressful; 2=Moderately stressful; 3=Highly stressful; 4=Extremely stressful
Query cey1_25 Integer Recommended Did you take courses at Dartmouth/another institution for more than 4 weeks during the past summer? 0;1 0 = No; 1 = Yes
Query cey1_26 Integer Recommended Did you participate in an internship/work for pay/perform volunteer work for more than 4 weeks during the past summer? 0;1 0 = No; 1 = Yes
Query cey1_27 Integer Recommended If you participated in an internship/work for pay/perform volunteer work for more than 4 weeks during the past summer, how stressful was the internship/work? 0::4 0=No at all stressful; 1=Not very stressful; 2=Moderately stressful; 3=Highly stressful; 4=Extremely stressful
Query cey1_28 Integer Recommended Did you spend most of the time at home during the past summer? 0;1 0 = No; 1 = Yes
Query cey1_29 Integer Recommended If you spent most of the time at home during the past summer, how stressful was it when you were at home? 0::4 0=No at all stressful; 1=Not very stressful; 2=Moderately stressful; 3=Highly stressful; 4=Extremely stressful
cey1_30 String 300 Recommended If not otherwise specified, what did you do during the past summer?
Query cey1_42 Integer Recommended Which was your most demanding term academically? 0::3 0=Fall; 1=Winter; 2=Spring; 3=Summer
Query cey1_43 Integer Recommended Which was your most demanding term of fitting in socially? 0::4 0=Fall; 1=Winter; 2=Spring; 3=Summer; 4=Other (please specify)
cey1_44 String 50 Recommended Other most demanding time of fitting in socially Other value for cey1_43
Query cey1_45 Integer Recommended During November - January break how would you rate your mental well-being when you arrived home? 0::4 0=Very poor; 1=Poor; 2=Average; 3=Good; 4=Very good
Query cey1_46 Integer Recommended During November - January break how would you rate your mental well-being when you arrived back at college? 0::4 0=Very poor; 1=Poor; 2=Average; 3=Good; 4=Very good
Query cey1_47 Integer Recommended During spring break how would you rate your mental well-being at the start of spring break? 0::4 0=Very poor; 1=Poor; 2=Average; 3=Good; 4=Very good
Query cey1_48 Integer Recommended During spring break how would you rate your mental well-being when you returned to college? 0::4 0=Very poor; 1=Poor; 2=Average; 3=Good; 4=Very good
Query cey1_49 Integer Recommended During summer break how would you rate your mental well-being at the start of summer break? 0::4 0=Very poor; 1=Poor; 2=Average; 3=Good; 4=Very good
Query cey1_50 Integer Recommended During summer break how would you rate your mental well-being when you returned to college? 0::4 0=Very poor; 1=Poor; 2=Average; 3=Good; 4=Very good
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.