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helpcenter.filter-cart

NDA Help Center

Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR" when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects.

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access. Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA). Without access, you will not be able to obtain individual-level data.

Once you have selected data of interest you can:

  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release.
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected. Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the filter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

Please Note:

  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time.
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures.
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.

Frequently Asked Questions

  • What is a Filter Cart?
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.
  • What do I do after filters are added to the Filter Cart?
    After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned. Adding multiple filters to the cart, regardless of type, will AND the result of each filter. If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in BOTH 1 AND 2.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Glossary

  • Workspace
    The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace.
  • Filter Cart
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user through querying or browsing as being of some potential interest. The Filter Cart adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
View Cohort
        helpcenter.ndastudy.view-cohort

        NDA Help Center

        NDA Study - View Cohort

        The View Cohort shows the Study cohort characteristics which will includes the name, type, sex and age in months range criteria. Note that age and sex restrict the data that can be added to the cohort. Medical criteria and phenotype are also included. Of particular importance on this page are any comments related to included subjects, which may be different than published results, often attributed to data sharing consent.

        Frequently Asked Questions

        • How do I know the characteristics of the cohort?
          The appropriate Medical Criteria, Phenotype, and Sub Type defined by the Study Owner are highlighted. The option trees are automatically expanded so the highlighted options are immediately viewable.

        Glossary

        • Age Range
          Age is expressed in months from 0 (birth) to 1200 (100 years old).
        • Medical Criteria
          NDA defines Medical Criteria as a diagnostically based determination of an individual's disease or condition.
        • Phenotype
          NDA defines Phenotype as any physical, morphologic, or biochemical characteristics that are observable in an individual.
        • Sub Types
          NDA defines Sub Type as a subordinate condition or disease that further characterizes an individual.
        • Cohort Name
          A user defined name for the cohort with a 200 character limit.
        • Cohort Type
          Cohort Type options include Baseline, Control, and Test.
        • Cohort Comments
          Comments further characterize the cohort beyond the options provided in the interface to define the cohort.
        • Cohort Subjects
          The Cohort Subjects provides the number of unique subjects for whom data have been associated with the cohort.
        • Cohort
          Summarizes the characteristics of a group of research subjects. The subject count is noted in parentheses.
        Add URL
        Add File
        Select File
        Study DOI
        Study DOI Status Info
        • DOI: 10.15154/1528140
        • DataCite Status: Findable
        • NDAR Status: Registered
        • DOI Registered with DataCite
        • Public URL Resolves at DOI
        Edit Subjects Dialog
        Select Subjects
        Selected
        No records found.
        Kristina Denisova kd243@nyu.edu Finding Shared
        Click for more info Denisova, Kristina; Denisova, K.
        Some individuals can flexibly adapt to life’s changing demands while others, in particular those with Autism Spectrum Disorder (ASD), find it challenging. The origin of early individual differences in cognitive abilities, the putative tools with which to navigate novel information in life, including in infants later diagnosed with ASD remains unexplored. Moreover, the role of intelligence quotient (IQ) vis-à-vis core features of autism remains debated. We systematically investigate the contribution of early IQ in future autism outcomes in an extremely large, population-based study of 8,000 newborns, infants, and toddlers from the US between 2 and 68 months with over 15,000 cross-sectional and longitudinal assessments, and for whom autism outcomes are ascertained or ruled out by about 2-4 years. This population is representative of subjects involved in the National Institutes of Health (NIH)-funded research, mainly on atypical development, in the US. Analyses using predetermined age bins showed that IQ scores are consistently lower in ASD relative to TD at all ages (p<0.001), and IQ significantly correlates with calibrated severity scores (total CSS, as well as non-verbal and verbal CSS) on the ADOS. Note, VIQ is no better than the full-scale IQ to predict ASD cases. These findings raise new, compelling questions about potential atypical brain circuitry affecting performance in both verbal and nonverbal abilities and that precede an ASD diagnosis. This study is the first to establish prospectively that low early IQ is a major feature of ASD in early childhood.
        10.15154/1528140
        Click for more info Secondary Analysis
        Autism Centers of Excellence (ACE), NIMH Repository & Genomics Resource (NRGR)
        Click for more info
        IDCollectionPermission GroupSubjects
        2027 A Longitudinal MRI Study of Infants at Risk for Autism (ACE 2) NIMH Data Archive563
        19 Longitudinal MRI Study of Infants at Risk for Autism NIMH Data Archive491
        2066 The CHARGE Study: Childhood Autism Risks From Genetics and the Environment NIMH Data Archive460
        2115 Detection of ASD at the 1st birthday as standard of care: The Get SET Early Model NIMH Data Archive457
        2384 Early Brain Development in Twins NIMH Data Archive421
        2666 Early Detection of Autism Spectrum Disorder NIMH Data Archive358
        2080 Smart Early Screening for Autism and Communication Disorders in Primary Care NIMH Data Archive323
        2557 Environmental Influence on Infant Microbiome Development and ASD Symptoms NIMH Data Archive298
        1946 Autism Risk, Prenatal Environmental Exposures, and Pathophysiologic Markers NIMH Data Archive259
        1600 Early Autism Risk Longitudinal Investigation (EARLI) Network NIMH Data Archive242
        2028 Mechanisms of Risk and Resilience in ASD: Ontogeny, Phylogeny and Gene Disruption NIMH Data Archive229
        2293 Components of Emotional Processing in Toddlers with ASD NIMH Data Archive225
        1886 PDN Screening Data NIMH Data Archive204
        2290 Early Identification of ASD: Translating Eye Tracking into Practice (Years 6-10) NIMH Data Archive194
        8 Yale Autism Center of Excellence: Mechanisms of Social Engagement in the Autism Spectrum Disorders NIMH Data Archive194
        1654 UW ACE Extended Family Study NIMH Data Archive190
        2368 Clinical and Immunological Investigations of Subtypes of Autism NIMH Data Archive183
        2026 Biomarkers of Developmental Trajectories and Treatment in ASD NIMH Data Archive176
        2113 Addressing systemic health disparities in early ASD identification and treatment NIMH Data Archive175
        1923 Components of Limited Activity Monitoring in Toddlers with ASD NIMH Data Archive171
        2008 Early Biomarkers of Autism Spectrum Disorders in infants with Tuberous Sclerosis NIMH Data Archive158
        14 Early Pharmacotherapy Guided by Biomarkers in Autism NIMH Data Archive145
        6 Biological and Information Processing Mechanisms Underlying Autism NIMH Data Archive138
        1358 Biological Signatures of Autism NIMH Data Archive137
        16 Intensive Intervention for Toddlers With Autism (EARLY STEPS) NIMH Data Archive98
        2108 Neural Phenotypes of Females with Autism Spectrum Disorder NIMH Data Archive88
        2036 Intervention effects of intensity and delivery style for toddlers with ASD NIMH Data Archive88
        10 UCLA Sigman/Bookheimer ACE and ARRA NIMH Data Archive84
        2077 Gaze Modification Strategies for Toddlers with ASD NIMH Data Archive76
        2599 A Multimedia Screening System for Early ASD Identification in Diverse Populations NIMH Data Archive68
        2262 Comparing Behavioral Assessments Using Telehealth for Children with Autism NIMH Data Archive58
        2761 Charting the trajectory of executive control in autism in order to optimize delivery of intervention NIMH Data Archive49
        1866 1/2 Development of a Screening Interview for Research Studies of ASD NIMH Data Archive48
        1885 Predicting Useful Speech in Children With Autism NIMH Data Archive45
        2004 1/3, 2/3, and 3/3: Sequencing Autism Spectrum Disorder Extended Pedigrees NIMH Data Archive36
        1920 Visual attention and fine motor coordination in infants at risk for autism NIMH Data Archive35
        2183 Identifying Biomarkers for Early Detection of Prosody Disorders in ASD using Electroglottography NIMH Data Archive35
        1300 Behavioral Treatment for Autism in Community Settings Using a Telehealth Network NIMH Data Archive30
        2338 Multimodal Imaging of Early Neural Signature in Autism Spectrum Disorder NIMH Data Archive26
        1 UIC ACE: Translational Studies of Insistence on Sameness in Autism NIMH Data Archive21
        2878 Social Rhythmic Entrainment and Language Development in Autism Spectrum Disorders NIMH Data Archive19
        2495 Functions and Development of the Mirror Neuron System NIMH Data Archive19
        2777 Center for the Development of Phenotype-Based Treatments of Autism Spectrum Disorder NIMH Data Archive18
        2251 Developmental Synaptopathies Associated with TSC, PTEN and SHANK3 Mutations NIMH Data Archive17
        2702 The Autism MEAL Plan: A Parent Training Curriculum to Manage Eating Aversions and Limited Variety among Children with Autism NIMH Data Archive15
        2009 Study of Oxytocin in Autism to Improve Reciprocal Social Behaviors (SOARS-B) NIMH Data Archive13
        2012 Optimization of Fidelity Procedures for Pivotal Response Training in Autism NIMH Data Archive13
        2349 RUPP PI PDD: Drug and Behavioral Therapy for Children With Pervasive Developmental Disorders NIMH Data Archive12
        2005 Pivotal Response Treatment for Infants at Risk for ASD: A Pilot Intervention NIMH Data Archive10
        2355 Neurobehavioral Research on Infants at Risk for Language Delay and ASD NIMH Data Archive10
        2774 Improving Child-Treatment Fit in Autism Early Intervention NIMH Data Archive10
        2556 Behavioral Economic Measures of Sensitivity to Social Reward in Children with ASD NIMH Data Archive10
        2003 Autism: Social and Communication Predictors in Siblings (Landa) AND Effects of Active Motor and Social Training on Developmental Trajectories in Infants at High-risk for Autism Spectrum Disorders (Libertus) NIMH Data Archive9
        1888 Emergence and Stability of Autism in Fragile X Syndrome NIMH Data Archive8
        1854 Studies to Advance Autism Research and Treatment (STAART). NIMH Data Archive8
        9 Biomarkers of Autism at 12 Months: From Brain Overgrowth to Genes NIMH Data Archive4
        2503 A new treatment for minimally verbal girls with ASD NIMH Data Archive4
        1906 Atypical Late Neurodevelopment in Autism NIMH Data Archive3
        1800 Initial Investigation of Prevention of ASD in Infants at Risk NIMH Data Archive3
        2821 Cellular, molecular, and functional imaging approaches to understanding early neurodevelopment in autism NIMH Data Archive3
        2025 Minimally Verbal ASD: From Basic Mechanisms to Innovative Interventions NIMH Data Archive2
        2035 Autism Genetics, Phase II: Increasing Representation of Human Diversity NIMH Data Archive2
        1201 Induced pluripotent cells in ASD with macrocephaly NIMH Data Archive1
        2778 Heterogeneity in Autism Spectrum Disorders: Biological Mechanisms, Trajectories, and Treatment Response NIMH Data Archive1
        2121 Mobilizing Community Systems to Engage Families in Early ASD Detection & Services NIMH Data Archive1
        Finding
        Age: 0 to 68 months
        Sex: Both
        helpcenter.ndastudy.summary-tab

        NDA Help Center

        NDA Study - Summary Tab

        An NDA Study describes an analysis, pipeline result, or curated data release - including the cohorts, measures, and methods - referencing the underlying source data in the NDA. Once the data is referenced and the study is shared, the underlying data will not change. It will be immutable allowing others to access those data without change into near perpetuity. Only the assessments (i.e. typically rows in a database) and outcome measures (i.e. columns in a database) included in the study are shared. By sharing data this way (e.g. specific outcome measures by subject/timepoint) an ongoing project's other unpublished data - typically other research aims - will remain embargoed according to a project's established data sharing schedule (see collection).

        When a study is created, a Digital Object Identifier (DOI) is reserved by the NDA, but will not be active. Once the study is shared, the DOI will then be issued and if associated with a publication, the NDA DOI will be linked to the publication's DOI.

        Frequently Asked Questions

        • How can I get access to an NDA Study if I am involved in creating/modifying the NDA Study?
          The individual listed as an Investigator on the General tab of the NDA Collection and any individuals defined as administrators can be provided this privilege. When the study is shared, all of those that have approved access to the data are given read-only access.

        Glossary

        • Abstract
          The Abstract of the publication or other public disclosure of analysis results. The publication abstract is automatically imported when creating a new NDA Study from a Create Study link associated with a Publication listed in a Collection. The field is editable.
        • Documents
          Provides links to additional documentation to help explain the NDA Study.
        • Cohort
          Summarizes the characteristics of a group of research subjects. The subject count is noted in parentheses.
        • Data Analysis
          Summarizes the Data Analysis methods used.
        • Data Usage
          Identifies the NDA Study as a Primary Analysis or Secondary Analysis.
        • Digital Object Identifier (DOI)
          A persistent and unique identifier that is issued for each NDA Study that may increase the visibility of a researcher's work. Authors are expected to reference the location of data in the publication using the DOI.
        • Download Button
          Adds all data from the current Collection or NDA Study to the Filter Cart.
        • Investigators
          The authors of the publication or other public disclosure of analysis results. The publication's authors are automatically imported when creating a new NDA Study from a Create Study link associated with a Publication listed in a Collection. The field is editable and uses a last name, first name format with multiple names separated by semicolons.
        • Primary Analysis
          Primary Analysis is one of the Data Use types NDA recognizes for NDA Studies. It indicates that the NDA Study's creator was involved in the collection of the data (in whole or in part) used in the NDA Study. In other words, at least some and potentially all of the data used was originally collected by the creator of the NDA Study. A Primary Analysis Study.
        • NDA Study Owner
          The NDA user, who does not necessarily have to be one of the Investigators listed in the NDA Study, primarily involved in creating the NDA Study who is serving as the point of contact. The NDA user who creates the NDA Study is automatically assigned as the Study Owner.
        • Private
          The term 'Private' generally means not available to others; however, there are some slightly different meanings based on what is Private. The default state for an NDA Collection, NDA Study, Supporting Documentation, and data is Private and, therefore, accessible only to those users with appropriate Privileges so it will not be viewable and searchable publicly. A Collection may be Shared while the data and Supporting Documentation remain Private.
        • Results
          Provides a link to the publication or other public disclosure of analysis results defined in the NDA Study.
        • Secondary Analysis
          Secondary Analysis is one of the Data Use types NDA recognizes for NDA Studies. It indicates that the NDA Study's creator was not involved in the collection of the data (in whole or in part) used in the NDA Study, but was involved in the analysis of those data. In other words, none of the data used was originally collected by the creator of the NDA Study. A Secondary Analysis Study will provide an Attribution Report listing the Collections and the researchers responsible for collecting and depositing the original data.
        • Study Type
          The NDA Study Type can be either Analysis (i.e. often associated with a computational pipeline), Clinical Trial, Finding (i.e. a result associated with a publication, or Release (i.e. a dataset release, often annually) to indicate the type of work defined in the NDA Study. Studies, once shared do not change.
        • Analysis Study Type
          The Analysis Study Type is primarily used to share a pipeline; however, it could be used to share a statistical analysis or method.
        • Release Study Type
          A static, curated data set.
        • Finding Study Type
          The Finding Study Type associates data to a publication or some type of result.
        • Clinical Trial Study Type
          A Clinical Trial Study is a finding specific to a clinical trial.
        • Study ID Number
          The Study ID number is a unique three digit number routinely expressed as S### that is assigned by the NDA.
        • Study State
          The Study State indicates whether the Study is viewable, searchable, and if the associated data can be accessed by users with appropriate data access Permissions. The default Study State is Private, which means that only the Collection Owner and users with Read Only Privileges. Only the Study Owner can Share the Study.
        • Study Title
          The Study Title is generally the title of the publication or other public disclosure of analysis results. The publication title is automatically imported when creating a new NDA Study from a Create Study link associated with a Publication listed in a Collection. The field is editable.
        • Edit Button
          The Edit Button allows a user to modify or add information once authenticated and if the user has appropriate permissions.
        • Return Button (Study)
          The Return Button brings the user back to the Data from Papers page.
        • Sex
          Sex is defined at birth and can only be Male or Female. In some places in the NDA, we incorrectly used the data_element name of Gender. Users are encouraged to review definitions and not make assumptions based upon a data element name.
        • Data Use Limitations
          Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
        • Permission Group
          Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.