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

Criminal Sentiments Scale

0 Shared Subjects

N/A
Clinical Assessments
Social Responsiveness
06/25/2020
css_m01
06/25/2020
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_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
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
csl_respect Integer Recommended Pretty much all laws deserve our respect 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csl_duty Integer Recommended It's our duty to obey all laws. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csl_laws_bad Integer Recommended Laws are usually bad 0::2 2= Agree; 1= Unsure; 0= Disagree
csl_rotten Integer Recommended The law is rotten to the core 0::2 2= Agree; 1= Unsure; 0= Disagree
csl_selfish Integer Recommended You cannot respect the law because it's there only to help a small and selsh group of people. 0::2 2= Agree; 1= Unsure; 0= Disagree
csl_obeyed Integer Recommended All laws should be obeyed just because they are laws. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csl_not_help Integer Recommended The law does not help the average person 0::2 2= Agree; 1= Unsure; 0= Disagree
csl_good Integer Recommended The law is good. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csl_jiustice Integer Recommended Law and justice are the same thing. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csl_slaves Integer Recommended The law makes slaves out of most people for a few people on the top. 0::2 2= Agree; 1= Unsure; 0= Disagree
cs_law_total Integer Recommended Law Total
csc_rigged Integer Recommended Almost any jury can be rigged. 0::2 2= Agree; 1= Unsure; 0= Disagree
csc_no_justice Integer Recommended You cannot get justice in court. 0::2 2= Agree; 1= Unsure; 0= Disagree
csc_honest Integer Recommended Lawyers are honest. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csc_fake Integer Recommended The prosecution often produces fake witnesses. 0::2 2= Agree; 1= Unsure; 0= Disagree
csc_judges Integer Recommended Judges are honest and kind. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csc_fair Integer Recommended Court decisions are pretty much always fair. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csc_money Integer Recommended Pretty much anything can be rigged in court if you have enough money. 0::2 2= Agree; 1= Unsure; 0= Disagree
csc_good_person Integer Recommended A judge is a good person. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
cs_courts_total Integer Recommended Courts Total
csp_honest Integer Recommended The police are honest. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csp_friend Integer Recommended A cop is a friend to people in need. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csp_fewer Integer Recommended Life would be better with fewer cops. 0::2 2= Agree; 1= Unsure; 0= Disagree
csp_paid_more Integer Recommended The police should be paid more for their work. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csp_crooked Integer Recommended The police are as crooked as the people they arrest. 0::2 2= Agree; 1= Unsure; 0= Disagree
scp_more Integer Recommended Society would be better off if there were more police. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
csp_never_help Integer Recommended The police almost never help people. 0::2 2= Agree; 1= Unsure; 0= Disagree
cs_police_total Integer Recommended Police Total
tlv_ahead Integer Recommended Sometimes a person like me has to break the law to get ahead in life. 0::2 2= Agree; 1= Unsure; 0= Disagree
tlv_successful Integer Recommended Most successful people broke the law to get ahead in life. 0::2 2= Agree; 1= Unsure; 0= Disagree
tlv_obey Integer Recommended You should always obey the law, even if it keeps you from getting ahead in life. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
tlv_ok Integer Recommended It's OK to break the law as long as you don't get caught. 0::2 2= Agree; 1= Unsure; 0= Disagree
tlv_would Integer Recommended Most people would commit crimes if they wouldn't get caught. 0::2 2= Agree; 1= Unsure; 0= Disagree
tlv_never Integer Recommended There is never a good reason to break the law. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
tlv_hungry Integer Recommended A hungry man has the right to steal. 0::2 2=Agree; 1=Unsure; 2=Disagree
tlv_around Integer Recommended It's OK to get around the law as long as you don't actually break it. 0::2 2=Agree; 1=Unsure; 2=Disagree
tlv_reasonable Integer Recommended You should only obey those laws that are reasonable. 0::2 2=Agree; 1=Unsure; 2=Disagree
tlv_crazy Integer Recommended You're crazy to work for a living if there's an easier way, even if it means breaking the law. 0::2 2=Agree; 1=Unsure; 2=Disagree
cs_tlv_total Integer Recommended TLV Total
ico_ideas Integer Recommended People who have broken the law have the same sorts of ideas about life as me. 0::2 2=Agree; 1=Unsure; 2=Disagree
ico_obey Integer Recommended I prefer to be with people who obey the law rather than people who break the law. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
ico_professional Integer Recommended I'm more like a professional criminal than people who break the law now and then. 0::2 2=Agree; 1=Unsure; 2=Disagree
ico_trouble Integer Recommended People who have been in trouble with the law are more like me than people who don't have trouble with the law. 0::2 2=Agree; 1=Unsure; 2=Disagree
ico_common Integer Recommended I have very little in common with people who never break the law. 0::2 2=Agree; 1=Unsure; 2=Disagree
ico_friend Integer Recommended No one who breaks the law can be my friend. 0::2 0 =Agree; 1 =Unsure; 2 Disagree
cs_ico_total Integer Recommended ICO Total
css_total Integer Recommended CSS TOTAL
assess_complete Integer Recommended Assessment Complete? 0::2 0=Incomplete; 1=Unverified; 2=Complete criminal_sentiments_scale_modified_complete
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.