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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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Selected Filters
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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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Imaging Work Flow

iwf

01

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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 was completed. MM/DD/YYYYRequired fieldscandate
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
directcreatedIntegerRecommendedDirectories created0;10=No; 1=Yes
examinerString3RecommendedExaminerrater_exam
dfr_beh1IntegerRecommendedDFR 1: Behavioral data collected?0;10=No; 1=Yes
dfr_phyco1IntegerRecommendedDFR 1: Physiological data collected?0;10=No; 1=Yes
dfr_phymis1String50RecommendedDFR 1: Physiological data missing
dfr_upload1IntegerRecommendedDFR 1: Scans, physiological and behavioral data uploaded to server0;10=No; 1=Yes
dfr_preprocom1IntegerRecommendedDFR 1: Preprocessing complete1;21=Complete; 2=Unfinished
dfr_beh2IntegerRecommendedDFR 2: Behavioral data collected?0;10=No; 1=Yes
dfr_phyco2IntegerRecommendedDFR 2: Physiological data collected?0;10=No; 1=Yes
dfr_phymis2String50RecommendedDFR 2: Physiological data missing
dfr_upload2IntegerRecommendedDFR 2: Scans, physiological and behavioral data uploaded to server0;10=No; 1=Yes
dfr_preprocom2IntegerRecommendedDFR 2: Preprocessing complete1;21=Complete; 2=Unfinished
dfr_beh3IntegerRecommendedDFR 3: Behavioral data collected?0;10=No; 1=Yes
dfr_phyco3IntegerRecommendedDFR 3: Physiological data collected?0;10=No; 1=Yes
dfr_phymis3String50RecommendedDFR 3: Physiological data missing
dfr_upload3IntegerRecommendedDFR 3: Scans, physiological and behavioral data uploaded to server0;10=No; 1=Yes
dfr_preprocom3IntegerRecommendedDFR 3: Preprocessing complete1;21=Complete; 2=Unfinished
dfr_beh4IntegerRecommendedDFR 4: Behavioral data collected?0;10=No; 1=Yes
dfr_phyco4IntegerRecommendedDFR 4: Physiological data collected?0;10=No; 1=Yes
dfr_phymis4String50RecommendedDFR 4: Physiological data missing
dfr_upload4IntegerRecommendedDFR 4: Scans, physiological and behavioral data uploaded to server0;10=No; 1=Yes
dfr_preprocom4IntegerRecommendedDFR 4: Preprocessing complete1;21=Complete; 2=Unfinished
ffa_behIntegerRecommendedFFA: Behavioral data collected?0;10=No; 1=Yes
ffa_phycoIntegerRecommendedFFA: Physiological data collected?0;10=No; 1=Yes
ffa_phymisString50RecommendedFFA: Physiological data missing
ffa_uploadIntegerRecommendedFFA: Scans, physiological and behavioral data uploaded to server0;10=No; 1=Yes
ffa_preprocomIntegerRecommendedFFA: Preprocessing complete1;21=Complete; 2=Unfinished
rs_behIntegerRecommendedRS: Behavioral data collected?0;10=No; 1=Yes
rs_phymisString50RecommendedRS: Physiological data missing
rs_uploadIntegerRecommendedRS: Scans, physiological and behavioral data uploaded to server0;10=No; 1=Yes
rs_preprocomIntegerRecommendedRS: Preprocessing complete1;21=Complete; 2=Unfinished
cmr_uploadIntegerRecommendedCMR: Scans data uploaded to server0;10=No; 1=Yes
cmr_preprocomIntegerRecommendedCMR: Preprocessing complete1;21=Complete; 2=Unfinished
dti_uploadIntegerRecommendedDTI: Scans data uploaded to server0;10=No; 1=Yes
dti_preprocomIntegerRecommendedDTI: Preprocessing complete1;21=Complete; 2=Unfinished
gre_uploadIntegerRecommendedGRE: Scans data uploaded to server0;10=No; 1=Yes
gre_preprocomIntegerRecommendedGRE: Preprocessing complete1;21=Complete; 2=Unfinished
gre_epiIntegerRecommendedGRE: Correction applied to EPI0;10=No; 1=Yes
mpr_uploadIntegerRecommendedMPR: Scans data uploaded to server0;10=No; 1=Yes
mpr_preprocomIntegerRecommendedMPR: Structural analysis complete (freesurfer pipeline)1;21=Complete; 2=Unfinished
qc_epi_lostIntegerRecommendedEPI signal lost investigated0;10=No; 1=Yes
qc_epi_lostsignalIntegerRecommendedEPI signal lost?0::30=No; 1=Large; 2=Medium; 3=Normal
qc_epi_commentString100RecommendedComment (Provide phase encoding axis angle if possible)
qc_epi_moveIntegerRecommendedMovements curves inspected?0;10=No; 1=Yes
qc_epi_spikesIntegerRecommendedSpikes inspected?0;10=No; 1=Yes
qc_epi_seqflagIntegerRecommendedEPI: Sequences to flag1::61=DFR Run 1; 2=DFR Run 2; 3=DFR Run 3; 4=DFR Run 4; Resting State; 6=Localizer FFA
qc_epi_phyIntegerRecommendedEPI: Physiological data inspected0;10=No; 1=Yes
qc_epi_phyflagIntegerRecommendedEPI: Physiological data to flag1::61=DFR Run 1; 2=DFR Run 2; 3=DFR Run 3; 4=DFR Run 4; Resting State; 6=Localizer FFA
qc_epi_morIntegerRecommendedEPI: Normalization inspected0;10=No; 1=Yes
da_func_softwareIntegerRecommendedData analysis: Software used0;10=FSL; 1=SPM
da_func_cdmIntegerRecommendedData analysis: Covariates and Design Matrix created?0;10=No; 1=Yes
da_func_fvIntegerRecommendedData analysis: First level data analysis complete?0;10=No; 1=Yes
da_func_betasIntegerRecommendedData analysis: Betas serie data analysis complete?0;10=No; 1=Yes
da_func_civiIntegerRecommendedData analysis: Contrasts of interest visually inspected?0;10=No; 1=Yes
da_dtiIntegerRecommendedData analysis: DTI analysis complete1;21=Complete; 2=Unfinished
da_rsIntegerRecommendedData analysis: Resting state analysis complete1;21=Complete; 2=Unfinished
da_commentString100RecommendedData anaylsis: comment
con_grpanaIntegerRecommendedSubject to include in groupo analysis?0;10=No; 1=Yes
wf_commentString100RecommendedConclusion: comments and flags
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: iwf01 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.