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Filter Cart

The Filter Cart provides a way to query and access data for which you may be interested.  There are multiple places to go query and Add to Filter Cart (Sometimes called Download).  

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 add subjects, sometimes it may take a few minutes to populate.  You can continue to do other things 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 available for the subjects selected 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 available.  However, if you want to see all of the clinical and phenotype, then select, "Find All Subject Data" to see all the data avaialble for those subjects.  

when a secord or third filter is applied, an AND condition is used to determine the subjects that are exist in all filters.  If the subject does not appear in any filter, that subjects data will be excluded from your filter cart. Given the sparcity of data in the NDA, it is possible for no subjects to appear across filters.  If that happens, clear your filter cart, and start over.  

The NDA is looking to enhance query/filtering.  Until additional tools become available, it is best to package more data than you need and then package and download the data and use other tools to further restrict and analyze the data.  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

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ABCD Youth Pubertal Development Scale and Menstrual Cycle Survey History (PDMS)

abcd_ypdms

01

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Element NameData TypeSizeRequiredConditionDescriptionValue RangeNotes
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
eventnameString60RequiredThe event name for which the data was collected
pds_sex_yIntegerRecommendedDo you consider yourself male or female?1 ; 21 = Male; 2 = Female; The next questions are about changes that may be happening to your body. These changes normally happen to different young people at different ages. Since they may have something to do with your brain image results, do your best to answer carefully. To give you some privacy, we will let you read and answer the questions on your own. However, if you would like help reading or you don't understand the questions, just let me know and I can help you.
pds_ht2_yIntegerRecommendedWould you say that your growth in height:1 ; 2 ; 3 ; 4 ; 9991 = has not yet begun to spurt; 2 = has barely started; 3 = is definitely underway; 4 = seems complete; 999 = I don't know; The next questions are about changes that may be happening to your body. These changes normally happen to different young people at different ages. Since they may have something to do with your brain image results, do your best to answer carefully. To give you some privacy, we will let you read and answer the questions on your own. However, if you would like help reading or you don't understand the questions, just let me know and I can help you.
pds_skin2_yIntegerRecommendedHave you noticed any skin changes, especially pimples?1 ; 2 ; 3 ; 4 ; 9991 = skin has not yet started changing; 2 = skin has barely started changing; 3 = skin changes are definitely underway; 4 = skin changes seem complete; 999 = I don't know ; The next questions are about changes that may be happening to your body. These changes normally happen to different young people at different ages. Since they may have something to do with your brain image results, do your best to answer carefully. To give you some privacy, we will let you read and answer the questions on your own. However, if you would like help reading or you don't understand the questions, just let me know and I can help you.
pds_bdyhair_yIntegerRecommendedAnd how about the growth of your body hair? ("Body hair" means hair any place other than your head, such as under your arms) Would you say that your body hair growth:1 ; 2 ; 3 ; 4 ; 9991 = has not yet begun to spurt; 2 = has barely started; 3 = is definitely underway; 4 = seems complete; 999 = I don't know; The next questions are about changes that may be happening to your body. These changes normally happen to different young people at different ages. Since they may have something to do with your brain image results, do your best to answer carefully. To give you some privacy, we will let you read and answer the questions on your own. However, if you would like help reading or you don't understand the questions, just let me know and I can help you.
pds_f4_2_yIntegerRecommended pds_sex_y == 2Have you noticed that your breasts have begun to grow?1 ; 2 ; 3 ; 4 ; 9991 = have not yet started growing; 2 = have barely started growing; 3 = breast growth is definitely underway; 4 = breast growth seems complete; 999 = I don't know
pds_f5_yIntegerRecommended pds_sex_y == 2Have you begun to menstruate (started to have your period)?4 ; 1 ; 9994 = Yes; 1 = No; 999 = I don't know
pds_f6_yString30Conditional pds_f5_y == 4 && isNull(pds_f6_y_dk)If yes, how old were you when you started to menstruate?If you don't know, please choose "don't know" in what follows below.
pds_f6_y_dkIntegerConditional pds_f5_y == 4 && isNull(pds_f6_y)how old were you when you started to menstruate? Don't know999999 = I Don't know
pds_m4_yIntegerConditional pds_sex_y == 1Have you noticed a deepening of your voice?1 ; 2 ; 3 ; 4 ; 9991 = Voice has not yet started to changing; 2 = Voice has barely started changing; 3 = Voice changes are definitely underway; 4 = Voice changes seem complete; 999 = I don't know
pds_m5_yIntegerConditional pds_sex_y == 1Have you begun to grow hair on your face?1 ; 2 ; 3 ; 4 ; 9991 = Facial hair not yet started growing; 2 = Facial hair has barely started growing; 3 = Facial hair has definitely started; 4 = Facial hair growth seems complete; 999 = I don't know
menstrual_cycle_scriptString30Recommended pds_f5_y == 4The following questions are about the history of your menstrual cycle. If you do not remember specific details, just try to answer as best you can.Descriptive field
menstrualcycle1_yString30Recommended pds_f5_y == 4What was the date of the first day of your last period?The following questions are about the history of your menstrual cycle. If you do not remember specific details, just try to answer as best you can.
menstrualcycle2_yString30Conditional pds_f5_y == 4 && isNull(menstrualcycle2_y_dk)On average, how many days are there between the first day of your period and the first day of your next period? (e.g., 30 days)If you don't know, please choose "don't know" in what follows below.
menstrualcycle2_y_dkIntegerConditional pds_f5_y == 4 && isNull(menstrualcycle2_y)On average, how many days are there between the first day of your period and the first day of your next period? (e.g., 30 days). Don't know999999 = Don't know
menstrualcycle3_yIntegerConditional pds_f5_y == 4Is your menstrual cycle regular?0::31 = Yes; 0 = No; 2 = Don't know; 3 = Refuse to answer; The following questions are about the history of your menstrual cycle. If you do not remember specific details, just try to answer as best you can.
menstrualcycle4_yIntegerConditional pds_f5_y == 4Are you currently using hormonal birth control (eg. the pill, hormone patch, hormone injection)?1 ; 0 ; 2 ; 31 = Yes; 0 = No; 2 = Don't know; 3 = Refuse to answer; The following questions are about the history of your menstrual cycle. If you do not remember specific details, just try to answer as best you can.
menstrualcycle5_yIntegerConditional pds_f5_y == 4Do you experience premenstrual symptoms, such as irritability, fatigue, etc., which start before your period and stop within a few days of bleeding?1::4; 771 = Not at all; 2 = Mild; 3 = Moderate; 4 = Severe; 77 = Decline to answer; The following questions are about the history of your menstrual cycle. If you do not remember specific details, just try to answer as best you can.
menstrualcycle6_yIntegerConditional pds_f5_y == 4Do your premenstrual symptoms interfere with your relationships with family and friends, productivity, and/or social life activities?1::4; 771 = Not at all; 2 = Mild; 3 = Moderate; 4 = Severe; 77 = Decline to answer; The following questions are about the history of your menstrual cycle. If you do not remember specific details, just try to answer as best you can.
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: abcd_ypdms01 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.