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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



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Cognitive Data



Database of Cognitive Training and Remediation Studies: Cognitive Data (COG)

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/projectParticipant_ID, newid
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
study_idIntegerRecommendedStudy ID number46=Acute Phase; 47=Stabilization Phase
study_conditionIntegerRecommendedStudy condition to which participant was assigned1::71 = Cognitive remediation; 2 = Comparison condition; 3 = Other; 4= treatment as usual; 5= Computers first; 6= CRT first; 7=SCIT
time_pointIntegerRecommendedAssessment time point1=Baseline (STARD); 2=Level exit (STARD); 3= Quarterly follow up (STARD);5= Screening; 10= Baseline; 21, 22, 23 = Mid-point 1, 2, 3; 30= End-of-treatment; 41, 42, 43= Follow-up1, 2, 3 etc.
days_baselineIntegerRecommendedDays since baselinecbdays
norms_mccbIntegerRecommendedNorms used for tests included in the MCCB1::31 = Original norms provided by test publisher; 2 = MCCB norms; 3 = Other
ammqt_iqIntegerRecommendedAmmons Quick Test Full Scale IQ
bacs_sc_rawIntegerRecommendedBrief Assessment of Cognition in Schizophrenia: Symbol-Coding subtest* (# correct; raw score)
bacs_sc_tscoreIntegerRecommendedBrief Assessment of Cognition in Schizophrenia: Symbol-Coding subtest* (# correct; T-score)bacs_sc_agt
bacs_digitseq_numcorrectIntegerRecommendedBrief Assessment of Cognition in Schizophrenia: Digit Sequencing Task (number of correct responses)0::28
bacs_tower_numcorrectIntegerRecommendedBrief Assessment of Cognition in Schizophrenia: Tower of London Task (number of correct responses)0::22
bvmtr_rawIntegerRecommendedBrief Visuospatial Memory Test Revised* (3-trial total recall; raw score)
bvmtr_tscoreIntegerRecommendedBrief Visuospatial Memory Test Revised* (3-trial total recall; T-score)
catflu_rawIntegerRecommendedCategory fluency: Animal naming (# animals named in 60 s; raw score)
catflu_tscoreIntegerRecommendedCategory fluency: Animal naming (# animals named in 60 s; T-score)fluency_agt
cpt_ip_rawFloatRecommendedContinuous Performance Test Identical Pairs (Mean d'across 2-, 3-, and 4-digit conditions; raw score)
cpt_ip_tscoreIntegerRecommendedContinuous Performance Test Identical Pairs (Mean d across 2-, 3-, and 4-digit conditions T score)
cvlt_total_recallIntegerRecommendedCalifornia Verbal Learning Test: Total Recall
cvlt_short_freerecallIntegerRecommendedCalifornia Verbal Learning Test: Short-term Free Recall
cvlt_long_freerecallIntegerRecommendedCalifornia Verbal Learning Test: Long-term Free Recall
fas_n_responsesIntegerRecommendedVerbal fluency (FAS): Total number of correct responses
fas_adj_scoreIntegerRecommendedVerbal fluency (FAS): Age- and education-adjusted score
hvltr_rawIntegerRecommendedHopkins Verbal Learning Test Revised (Total # words recalled over 3 trials; raw score)
hvltr_tscoreIntegerRecommendedHopkins Verbal Learning Test Revised (Total # words recalled over 3 trials; T-score)
lns_rawIntegerRecommendedLetter-Number Span (# of correct trials; raw score)
lns_tscoreIntegerRecommendedLetter-Number Span (# of correct trials; T-score)lns_t_agt
mccb_speed_tscoreFloatRecommendedMATRICS Speed of Processing domain (T-Score)
mccb_attnvig_tscoreIntegerRecommendedMATRICS Attention/Vigilance domain (T-Score)
mccb_workmem_tscoreIntegerRecommendedMATRICS Working Memory domain (T-Score)
mccb_verblearn_tscoreIntegerRecommendedMATRICS Verbal Learning domain (T-Score)
mccb_vislearn_tscoreIntegerRecommendedMATRICS Visual Learning domain (T-Score)
mccb_reasprob_tscoreIntegerRecommendedMATRICS Reasoning and Problem Solving domain (T-Score)
mccb_soccog_tscoreIntegerRecommendedMATRICS Social Cognition domain (T-Score)
mccb_overall_tscoreIntegerRecommendedMATRICS Overall Composite (T-Score)
msceit_memo_rawIntegerRecommendedMayer-Salovey-Caruso Emotional Intelligence Test: Managing Emotions subtest (raw score)
msceit_memo_tscoreFloatRecommendedMayer-Salovey-Caruso Emotional Intelligence Test: Managing Emotions subtest (T score)msceit_me_agt
mset_attemptedIntegerRecommendedModified six elements task: Number of tasks attempted
mset_rulesIntegerRecommendedModified six elements task: Number of rules broken
mset_totalIntegerRecommendedModified six elements task: Total score: no. of tasks attempted minus no. of rule breaks
nab_mazes_rawIntegerRecommendedNeuropsychological Assessment Battery: Mazes subtest* (Total; raw score)
nab_mazes_tscoreIntegerRecommendedNeuropsychological Assessment Battery: Mazes subtest* (Total; T-score)nab_maxes_agt
nart_fsiqestIntegerRecommendedNational Adult Reading Test : Predicted full-scale IQ
nart_piqestIntegerRecommendedNational Adult Reading Test : Predicted performance IQ
nart_viqestIntegerRecommendedNational Adult Reading Test : Predicted verbal IQ
toldx_moveIntegerRecommendedTower of London - DX: Total move score0::189
toldx_initexecFloatRecommendedTower of London - DX: Ratio of initiation to Execution time
tmta_rawFloatRecommendedTrailmaking test part A (Paper & pencil): Time to completion (Seconds)
tmta_tscoreIntegerRecommendedTrailmaking test part A (Paper & pencil): Time to completion (T-score)tmt_agt
tmta_errorsIntegerRecommendedTrailmaking test Part A (Paper & pencil): Number of errors
tmtb_rawFloatRecommendedTrailmaking test Part B (Paper & pencil): Time to completion (Seconds)
tmtb_tscoreIntegerRecommendedTrailmaking test Part B (Paper & pencil): Time to completion (T-score)
tmtb_errorsIntegerRecommendedTrailmaking test Part B (Paper & pencil): Number of errors
tmta_comp_rawFloatRecommendedTrailmaking test Condition 1/letters (Computerized): Trial 1, Time to completion (Seconds)
tmtb_comp_rawFloatRecommendedTrailmaking test Condition 2/letters+numbers (Computerized): Trial 1, Time to completion (Seconds)
wais_versionString35RecommendedWAIS Version
wais_pictarr_rawIntegerRecommendedWechsler Adult Intelligence Scale Picture Arrangement: Raw score
wais_pictarr_scaledIntegerRecommendedWechsler Adult Intelligence Scale Picture Arrangement: Scaled score
wais_digsym_rawIntegerRecommendedWechsler Adult Intelligence Scale Digit-Symbol Substitution: Raw score
wais_digsym_scaledIntegerRecommendedWechsler Adult Intelligence Scale Digit-Symbol Substitution: Scaled score
scoring_digitspan_rawFloatRecommendedDigit Span Raw ScoreWAIS_DigSpan_Raw
scoring_digitspan_scaledFloatRecommendedDigit Span Scaled ScoreWAIS_DigSpan_Scaled
scoring_picturecomp_rawFloatRecommendedPicture Completion Raw ScoreWAIS_PictComp_Raw
scoring_picturecomp_scaledFloatRecommendedPicture Completion Scaled ScoreWAIS_PictComp_Scaled
scoring_vocabulary_rawFloatRecommendedWAIS. Vocabulary Raw ScoreWAIS_Vocab_Raw
scoring_vocabulary_scaledFloatRecommendedVocabulary Scaled ScoreWAIS_Vocab_Scaled
wais_viq_indexscreIntegerRecommendedWAIS. Verbal IQ/Index ScoresWAIS_VerbalIQ
wais_piq_indexscreIntegerRecommendedWAIS. Performance IQ/Index ScoresWAIS_PerfIQ
wais_fsiq_indexscreIntegerRecommendedWAIS. IQ/Index ScoresWAIS_FSIQ
wcst_methodIntegerRecommendedWisconsin Card Scoring Test: Administration method1;21 = Cards; 2 = Computer
wcst_percent_conceptualFloatRecommendedWisconsin Card Sorting Test: Percent Conceptual Responses0::100
wcst_percent_concep_scaledFloatRecommendedWisconsin Card Sorting Test: Percent Conceptual Reponses (Scaled)WCST_Percent_Conceptual_Scaled
wcst_categoriesFloatRecommendedWisconsin Card Sorting Test: Categories Achieved0::6
wcst_nonpersev_errorsIntegerRecommendedWisconsin Card Sorting Test: Non-Perseverative Errors0::128
wcst_persev_errorsIntegerRecommendedWisconsin Card Sorting Test: Perseverative Errors0::128
wms_ss_rawIntegerRecommendedWechsler Memory Scale III: Spatial Span subtest (Sum of scores on backwards and forwards conditions; raw score)
wms_ss_tscoreIntegerRecommendedWechsler Memory Scale III: Spatial Span subtest (Sum of scores on backwards and forwards conditions T-score)
wr_totalrawscoreIntegerRecommendedWord Reading Total Raw Score0 :: 70; -9; 999999=NA/missing/NKWRAT_Reading_Total
gor_totFloatRecommendedGorham' Proverb Test total
hinting_totalIntegerRecommendedHinting total score0::20
rses_totalIntegerRecommendedScale total
sevscoreIntegerRecommendedTotal Movement Severity scoreCreated variable with 20% missing data rule applied: AIMS Sum of AIMS01-AIMS07
visitString50RecommendedVisit nametimept
siteString101RecommendedSiteStudy Site
bacs_vm_agtIntegerRecommendedBACS Verbal Memory (corrected T-score)
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: cog01 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.