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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: 10.15154/1518655
        • DataCite Status: Findable
        • NDAR Status: Registered
        • DOI Registered with DataCite
        • Public URL Resolves at DOI
        Edit Subjects Dialog
        Select Subjects
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        Mariam Hassan mariammostafa.k@gmail.com Analysis Shared
        Click for more info Hassan, Mariam; Mokhtar, Hoda
        Autism spectrum disorder (ASD) is a neurodevelopmental disorder that causes deficits in cognition, communication and social skills. ASD, however, is a highly heterogeneous disorder. This heterogeneity has made identifying the etiology of ASD a particularly difficult challenge, as patients exhibit a wide spectrum of symptoms without any unifying genetic or environmental factors to account for the disorder. For better understanding of ASD, it is paramount to identify potential genetic and environmental risk factors that are comorbid with it. Identifying such factors is of great importance to determine potential causes for the disorder, and understand its heterogeneity. Existing large-scale datasets offer an opportunity for computer scientists to undertake this task by utilizing machine learning to reliably and efficiently obtain insight about potential ASD risk factors, which would in turn assist in guiding research in the field. In this study, decision tree algorithms were utilized to analyze related factors in datasets obtained from the National Database for Autism Research (NDAR) consisting of nearly 3000 individuals. We were able to identify 15 medical conditions that were highly associated with ASD diagnoses in patients; furthermore, we extended our analysis to the family medical history of patients and we report six potentially hereditary medical conditions associated with ASD. Associations reported had a 90% accuracy. Meanwhile, gender comparisons highlighted conditions that were unique to each gender and others that overlapped. Those findings were validated by the academic literature, thus opening the way for new directions for the use of decision tree algorithms to further understand the etiology of autism.
        10.15154/1518655
        Click for more info Secondary Analysis
        Autism Centers of Excellence (ACE), Dimensional Approaches to Research Classification in Psychiatric Disorders (DARCPD), NIMH Repository & Genomics Resource (NRGR)
        Click for more info
        IDCollectionPermission GroupSubjects
        1 UIC ACE: Translational Studies of Insistence on Sameness in Autism NIMH Data Archive303
        2046 Development of a new autism screening tool for traditionally underserved families NIMH Data Archive251
        1250 Screening and Diagnostic Measures in Toddlers with ASD NIMH Data Archive243
        2021 Multimodal Developmental Neurogenetics of Females with ASD NIMH Data Archive207
        2368 Clinical and Immunological Investigations of Subtypes of Autism NIMH Data Archive200
        2020 Adaptive Interventions for Minimally Verbal Children with ASD in the Community NIMH Data Archive149
        2063 Epidemiological Research on Autism in Jamaica - Phase II NIMH Data Archive135
        1600 Early Autism Risk Longitudinal Investigation (EARLI) Network NIMH Data Archive134
        2022 The Social Brain in Schizophrenia and Autism Spectrum Disorders NIMH Data Archive121
        2066 The CHARGE Study: Childhood Autism Risks From Genetics and the Environment NIMH Data Archive96
        2013 Magnetoencephalographic studies of lexical processing and abstraction in autism NIMH Data Archive77
        2072 Intrinsic Brain Architecture of Young Children with Autism While Awake and Asleep NIMH Data Archive73
        1946 Autism Risk, Prenatal Environmental Exposures, and Pathophysiologic Markers NIMH Data Archive69
        2557 Environmental Influence on Infant Microbiome Development and ASD Symptoms NIMH Data Archive68
        2288 The Autism Biomarkers Consortium for Clinical Trials NIMH Data Archive66
        2030 Electrophysiological Response to Executive Control Training in Autism NIMH Data Archive65
        1955 Characterizing mechanistic heterogeneity across ADHD and Autism NIMH Data Archive63
        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 Archive62
        2025 Minimally Verbal ASD: From Basic Mechanisms to Innovative Interventions NIMH Data Archive61
        2093 Sporadic Mutations and Autism Spectrum Disorders NIMH Data Archive60
        2070 Eyeblink conditioning in school-aged children with ASD NIMH Data Archive54
        2075 Mapping Thalamocortical Networks Across Development in ASD NIMH Data Archive53
        1985 Evaluating the Time-Dependent Unfolding of Social Interactions in Children with Autism NIMH Data Archive50
        2129 Biological Determinants of Brain Variation in Autism NIMH Data Archive48
        2292 Molecular Mechanisms of Atypical Habituation in Autism Spectrum Disorders NIMH Data Archive47
        2052 Peers, Play and Performance to Improve Social Interaction in Autism NIMH Data Archive45
        2080 Smart Early Screening for Autism and Communication Disorders in Primary Care NIMH Data Archive44
        2067 Targeting GABA-A for the Treatment of Social Disability in Young Adults with Autism Spectrum Disorders: A Phase II Proof of Mechanism Trial NIMH Data Archive44
        2049 Efficacy of Relationship Development Intervention and Parent-Implemented Applied Behavior NIMH Data Archive40
        2179 Neural markers of shared gaze during simulated social interactions in ASD \-Modal Automated Assessment of Behavior during Social Interactions in Children with ASD NIMH Data Archive39
        2183 Identifying Biomarkers for Early Detection of Prosody Disorders in ASD using Electroglottography NIMH Data Archive38
        2026 Biomarkers of Developmental Trajectories and Treatment in ASD NIMH Data Archive38
        2293 Components of Emotional Processing in Toddlers with ASD NIMH Data Archive38
        2014 The Neural Substrates of Higher-Level Learning in Autism NIMH Data Archive33
        2028 Mechanisms of Risk and Resilience in ASD: Ontogeny, Phylogeny and Gene Disruption NIMH Data Archive33
        2036 Intervention effects of intensity and delivery style for toddlers with ASD NIMH Data Archive30
        2112 Services to enhance social functioning in adults with autism spectrum disorder NIMH Data Archive29
        2322 Electrophysiologic Studies of Language Impairment in ASD (Years 6-10) NIMH Data Archive27
        2060 Dysfunction of Sensory Inhibition in Autism NIMH Data Archive23
        2011 Toward Outcome Measurement of Anxiety in Youth with Autism Spectrum Disorders NIMH Data Archive23
        2108 Neural Phenotypes of Females with Autism Spectrum Disorder NIMH Data Archive22
        2095 The neurophysiology of sensory processing and multisensory integration in ASD NIMH Data Archive21
        2012 Optimization of Fidelity Procedures for Pivotal Response Training in Autism NIMH Data Archive19
        2386 Efficacy of the Direct Instruction Language for Learning Program to Promote Expressive and Receptive Language in Children with Autism Spectrum Disorder NIMH Data Archive17
        2077 Gaze Modification Strategies for Toddlers with ASD NIMH Data Archive15
        2266 Inhibitory dysfunction in autism NIMH Data Archive15
        2845 Attentional, temperamental, and physiological process underlying anxiety in preschoolers with ASD NIMH Data Archive14
        2062 Verbal/non-verbal asynchrony in adolescents with high-functioning Autism NIMH Data Archive14
        2253 Neurophenotypic Trajectories and Behavioral Outcomes in Autism Spectrum Disorder NIMH Data Archive13
        2055 Silvio O. Conte Center for Oxytocin and Social Cognition NIMH Data Archive12
        2281 Predictors of Cognitive Development in Autism Spectrum Disorder NIMH Data Archive11
        2250 A feasibility study for prevention and safety training for children with autism NIMH Data Archive11
        2006 Impairments of Theory of Mind disrupt patterns of brain activity NIMH Data Archive11
        2272 Developing an Automated Emotion Training System NIMH Data Archive10
        2358 Neural networks for attention to internal and external sensory cues in ASD NIMH Data Archive10
        2442 Emergence and Stability of Autism in Fragile X Syndrome NIMH Data Archive9
        1888 Emergence and Stability of Autism in Fragile X Syndrome NIMH Data Archive9
        2197 The role of vasopressin in the social deficits of autism NIMH Data Archive9
        1900 Neurobehavioral Research on Infants at Risk for SLI and Autism NIMH Data Archive8
        2282 Cognitive Enhancement Therapy for Adult Autism Spectrum Disorder NIMH Data Archive8
        2009 Study of Oxytocin in Autism to Improve Reciprocal Social Behaviors (SOARS-B) NIMH Data Archive7
        2354 Neurodevelopment of cognitive control in autism: adolescence to young adulthood NIMH Data Archive7
        2017 Wireless EEG System for Training Attention and Eye Movement in ASD NIMH Data Archive6
        2169 Human Clinical Trial of IGF-1 in Children with Idiopathic ASD NIMH Data Archive6
        2291 The Autistic Brain Over 45: The Anatomic, Functional, and Cognitive Phenotype NIMH Data Archive6
        2312 Multimodel Assessment of Social Process Systems across Neurodevelopmental Disorders NIMH Data Archive6
        2335 The role of parent phenotype in parent-mediated language interventions for autism NIMH Data Archive6
        2342 Cognitive and Neural Flexibility in Autism NIMH Data Archive6
        2460 Emergence, Stability and Predictors of Anxiety in Fragile X Syndrome NIMH Data Archive6
        2035 Autism Genetics, Phase II: Increasing Representation of Human Diversity NIMH Data Archive5
        1965 Longitudinal Studies of Autism Spectrum Disorders: From 2 to 23 NIMH Data Archive5
        2005 Pivotal Response Treatment for Infants at Risk for ASD: A Pilot Intervention NIMH Data Archive5
        2440 Development of Behavioral and Neural Biomarkers for Autism Spectrum Disorder Using a Genetically Defined Subtype NIMH Data Archive4
        2834 Neuronal Correlates of Autistic Traits in ADHD and Autism NIMH Data Archive4
        2251 Developmental Synaptopathies Associated with TSC, PTEN and SHANK3 Mutations NIMH Data Archive4
        2198 Pivotal Response Treatment Package for Young Children with Autism NIMH Data Archive4
        2192 Piloting Treatment with Insulin-Like Growth Factor-1 in Phelan-McDermid Syndrome NIMH Data Archive4
        2027 A Longitudinal MRI Study of Infants at Risk for Autism (ACE 2) NIMH Data Archive3
        2773 Teaching Academic Success Skills to Middle School Students with Autism Spectrum Disorders (ASD) with Executive Functioning Deficits NIMH Data Archive3
        2076 1/3 to 3/3 Treatment of anxiety in autism spectrum disorder NIMH Data Archive2
        3034 Developing an intervention to improve independent functioning and health and reduce victimization risk for adults with autism NIMH Data Archive2
        2828 Sensory consequences of action in children with autism spectrum disorders NIMH Data Archive2
        2929 Social-communicative deficits in Autism Spectrum Disorder as measured by mGluR5 positron emission tomography NIMH Data Archive2
        2254 The neurobiological basis of heterogeneous social and motor deficits in ASD NIMH Data Archive2
        2415 Sensory Integration Therapy in Autism: Mechanisms and Effectiveness NIMH Data Archive2
        2285 Integrity and Dynamic Processing Efficiency of Networks in ASD NIMH Data Archive2
        2555 A longitudinal study of brain development in children with autism NIMH Data Archive2
        19 Longitudinal MRI Study of Infants at Risk for Autism NIMH Data Archive2
        2821 Cellular, molecular, and functional imaging approaches to understanding early neurodevelopment in autism NIMH Data Archive2
        2043 Autism Spectrum Disorder - Inflammatory Subtype: Molecular Characterization NIMH Data Archive1
        2776 Co-occurring ADHD in young children with ASD: Precursors, detection, neural signatures, and early treatment NIMH Data Archive1
        2702 The Autism MEAL Plan: A Parent Training Curriculum to Manage Eating Aversions and Limited Variety among Children with Autism NIMH Data Archive1
        2683 Examining Stress and Arousal Across Pubertal Development in ASD NIMH Data Archive1
        2559 Neural Mechanisms of CBT for Anxiety in Children with Autism Spectrum Disorder NIMH Data Archive1
        2556 Behavioral Economic Measures of Sensitivity to Social Reward in Children with ASD NIMH Data Archive1
        2441 Structural and Functional Characteristics of XYY - Relationship to ASD NIMH Data Archive1
        3056 Testing the Bottom-Up vs Top-Down Imbalance Hypothesis of ASD NIMH Data Archive1
        2351 Arousal Tendencies and Individual Differences in Children with Autism Spectrum Disorder NIMH Data Archive1
        2262 Comparing Behavioral Assessments Using Telehealth for Children with Autism NIMH Data Archive1
        3022 Electrophysiological Markers for Interventions in Phelan-McDermid Syndrome and Idiopathic Autism NIMH Data Archive1
        Analysis
        Age: 0 to 744 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.