NDA Help Center

Login Dialog

Frequently Asked Questions

Glossary

NDA Help Center

Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions

Glossary

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

Brief Adherence Rating Scale

bars

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectbid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired field
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
visdayIntegerRecommendedNumber of days from study baseline to date of visitbara0b
bara1IntegerRecommendedIn the past month, has the patienIt lived in the community (i.e., not hospitalized, or in day treatment)?0;11=Yes; 0=No; If no, go to Item 5
medication1_nameString500RecommendedName first medication that the participant has taken0 = No medication; 999= Legitimately skippedbara2a, bars_1, name_of_antipsychotic_1
bara2bIntegerRecommendedHow many pills of did the doctor tell you to take each day?bars_2, how_many_pills_of
bara2cIntegerRecommendedOver the past month, on how many days did you NOT TAKE (Name of first antipsychotic)?1::41=Few, if any (<7); 2=7-13; 3=14-20; 4=Most (>20)bars_3, over_the_month_since_your
bara2dIntegerRecommendedOver the past month, how many days did you TAKE LESS THAN the prescribed number ofpills of (Name of first antipsychotic)?1::41=Always/Almost Always (76-100% of the time (poor adherence); 2=Usually (51-75% of the time); 3=Sometimes (26-50% of the time); 4= Never/Almost Never (0-25$ of the time) (food adherence)bars_4, over_the_month_less_than
bara3IntegerRecommendedHas the patient been prescribed a 2nd antipsychotic?0;11=Yes; 0=No; If no, go to Item 4do_you_need_to_add_another
medication2_nameString200RecommendedName second medication that the participant has taken0 = No medication; 999= Legitimately skippedbara3a, name_of_antipsychotic2
bara3bIntegerRecommendedHow many pills did the doctor tell you to take each day?how_many_pills_of2_324
bara3cIntegerRecommendedOver the past month, on how many days did you NOT TAKE (Name of second antipsychotic)?1::41=Few, if any (<7); 2=7-13; 3=14-20; 4=Most (>20)over_the_month_since_2_359
bara3dIntegerRecommendedOver the past month, how many days did you TAKE LESS THAN the prescribed number o fpills of (Name of second antipsychotic)?1::41=Always/Almost Always (76-100% of the time (poor adherence); 2=Usually (51-75% of the time); 3=Sometimes (26-50% of the time); 4= Never/Almost Never (0-25$ of the time) (food adherence)over_the_month_less_t2_d30
bara4IntegerRecommendedPlease place a single vertical line on the dotted line below that you believe best describes, out of the total # of prescribed antipsychotic medication doses, the proportion of doses taken by the patient in the past month.0::100Measured in persentages. How to calculate percent taken: Number taken divided by number of chances Example 1: If patient takes 1 pill a day, then you divide number taken by 30 Example 2: If patient takes 2 pills a day, then you divide number taken by 60bars_5, please_select_which_percen
version_formString100RecommendedForm used/assessment name
visitidIntegerRecommendedMetaTrial Visit IDSystem variable: unique code for each type of visit -use to merge files
fseqnoIntegerRecommendedSequence Number0::999The FSEQNO variable in the ADJ form has a special interpretation compared to other forms. For example, ADJ FSEQNO of '1' can be thought of as being '001', FSEQNO of '2' can be thought of as being '002', and FSEQNO of '3' can be thought of as being '003'. The first digit of FSEQNO relates to the corresponding ENF sequence number at that visit and the third digit relates to the specific adjudicator who completed the adjudication form.
scid18IntegerRecommendedHave you ever been prescribed an antipsychotic medication?0;1; 9990 = No; 1 = Yes; 999 = Legitimately Skippedbara2
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.

Distribution for DataStructure: bars01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.