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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

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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR 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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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Description
Value Range
Notes
Data Structures with shared data
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4-Item Depressive Symptom Rating Scale

fidsrs

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/project
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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
fidsrs01IntegerRecommendedDepression Rating0::30= Absent; 1= Mild (Expresses some sadness or discouragement on questioning); 2= Moderate (Distinct depressed mood persisting up to half the time over the last 2 weeks, present daily); 3= Severe (Markedly depressed mood persisting daily over half the time interfering with normal motor and social functioning)
fidsrs02IntegerRecommendedHopelessness Rating0::30= Absent; 1= Mild (Has at times felt hopeless over the last 2 weeks but still has some degree of hope for the future); 2= Moderate (Persistent; moderate sense of hopelessness over the last week. Can be persuaded to acknowledge possibility of things being better); 3= Severe (Persisting and distressing sense of hopelessness)
fidsrs03IntegerRecommendedSuicide Rating0::30= Absent; 1= Mild (Frequent thoughts of being better off dead or occassional thoughts of suicide); 2= Moderate (Deliberately considered suicide with a plan but made no attempt); 3= Severe (Suicide attempt apparently designed to end in death [i.e. accidental discovery or inefficient means])
fidsrs04IntegerRecommendedObserved Depression Rating0::30= Absent; 1= Mild (Participant appears sad and mournful during parts of the interview involving affectively neutral discussion.); 2= Moderate (Participant appears sad and mournful throughout the interview with gloomy monotonous voice and is tearful or close to tears at times.); 3= Severe (Participant chokes on distressing topics, frequently sighs deeply and cries openly, or is persistently in a state of frozen misery if you are sure this is present.)
fidsrs05IntegerRecommended4- Item Depressive Total Score
fidsrs06IntegerRecommendedSources of information1::41= Participant; 2= Parents/relatives; 3= Mental health professionals; 4= Chart
fidsrs07IntegerRecommendedReason for questionable validity of assessment1::61= Symptoms possibly drug-induced; 2= Participant uncooperative; 3= Underrated due to lack of rapport; 4= Difficult to assess due to formal thought disorder; 5= Underreported due to negative symptoms; 6= Other
wtar_validity_spString100RecommendedValidity issues, specifyfidsrs08
fidsrs09IntegerRecommendedConfidence in assessment1::51= Not at all; 5= Very confident
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: fidsrs01 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.