This repository is under review for potential modification in compliance with Administration directives.
Study DOI Status Info
DOI: 10.15154/1523041
DataCite Status: Findable
NDAR Status: Registered
DOI Registered with DataCite
Public URL Resolves at DOI
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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.
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.
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.
The Cohort Tab allows users to view the cohorts for the NDA Study that were defined by the Study Owner.
Cohorts identify general cohort characteristics (such as sex, age in months, and phenotype by medical
criteria, phenotype, and subtype). Once a cohort is defined by the collection owner, subject data are
then added through the NDA filter cart, but only subjects that meet the cohort's criteria (e.g. age
restrictions and sex). Note too that a subject/age can exist only in one cohort.
Frequently Asked Questions
What should I do if all data can not be included in an analysis?
Some subjects may not have consented for data sharing so it is not necessarily true that all data from all
subjects is available through the NDA Study. If some data or subjects are missing, note this in the Comments
section of the cohort definition. Additionally, the NDA provides subjects that are excluded from the analysis
for whatever reason (e.g. different aim, dropped out of the study, etc.). The reason for exclusion of subjects
should be made in the comments section.
Glossary
Age Range
Age is expressed in months from 0 (birth) to 1200 (100 years old).
Download Button
Adds all data from the current Collection or NDA Study to the Filter Cart.
Owner Email
The email address of the Study Owner, which may be used to contact the Investigators involved in the
NDA Study and/or the associated publication.
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.
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.
Clinical Trial Study Type
A Clinical Trial Study is a finding specific to a clinical trial.
Finding Study Type
The Finding Study Type associates data to a publication or some type of result.
Release Study Type
A static, curated data set.
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.
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.
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.
Cohort Comments
Comments further characterize the cohort beyond the options provided in the interface to define the cohort.
Cohort Name
A user defined name for the cohort with a 200 character limit.
Cohort Subjects
The Cohort Subjects provides the number of unique subjects for whom data have been associated with the cohort.
Cohort Type
Cohort Type options include Baseline, Control, and Test.
Cohort
Summarizes the characteristics of a group of research subjects. The subject count is noted in parentheses.
As defined by the Study Owner, the Measures Tab lists the Data Structures from the NDA Data Dictionary
used in the Study and whether they are Primary or Secondary measures. The NDA supports individual data
structures, which would be an entire assessment (e.g. Mullen Scales of Early Learning) or individual data
elements, which are preferred. To view the actual data definition for the defined Data Structure, click on
the Measure name and the definition will open in another browser tab. For data elements, clicking on the
'i' informational icon, a popup of the description, value range, and any notes will be provided. Those that
are authenticated may view the actual data in tabular form, supporting the cohort of the study.
Frequently Asked Questions
What is the benefit of adding Data Elements instead of just the Data Structure?
Defining the Data Elements and whether they are used as a Primary or Secondary outcome helps to further
characterize the data used in the analysis. Furthermore, when you select Edit Measure at the Data Element
level you will see and can further define the subject/age records specific to that measure and cohort.
Glossary
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.
Clinical Trial Study Type
A Clinical Trial Study is a finding specific to a clinical trial.
Download Button
Adds all data from the current Collection or NDA Study to the Filter Cart.
Finding Study Type
The Finding Study Type associates data to a publication or some type of result.
Measures
Summarizes the count of Primary and Secondary Measures (data structures) used in the NDA Study's analysis.
Release Study Type
A static, curated data set.
Measures Status
Defines whether the Data Structure or Data Element is considered Primary or Secondary in the analysis.
Study ID Number
The Study ID number is a unique three digit number routinely expressed as S### that is assigned by the NDA.
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.
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.
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.
Measures Subjects
Defines the number of subjects who data was used in the analysis for the identified measure (Data Structure or
Data Element).
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.
Data Dictionary
The NDA Data Dictionary provides an electronic definition for each measure, questionnaire, assessment, etc
that can be accepted into the NDA.
Data Element
Intended to be re-used as much as possible to honor harmonization standards, a Data Element is an individual
item (variable/field) within a Data Structure that represents a question/field on an assessment or a discrete
data point.
Data Structure
A defined organization and group of Data Elements to represent an electronic definition of a measure,
assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA
Data Dictionary are available at
https://nda.nih.gov/general-query.html?q=query=data-structure
The Arms/Comparison, Description, and Intervention Type options defined by the NDA Study Owner for either
an Observational Study or Controlled Study can be viewed on this tab and are highlighted in yellow.
The NDA allows those that define a Study to define their own arms, descriptions or intervention types as
needed, however, to support harmonization, these must first be approved by the NDA prior to sharing the
study.
Frequently Asked Questions
How do I know the Study Type?
The appropriate Arms/Comparison, Description, and Intervention information is highlighted based on whether the
Study Owner identified the Study Type as Observational or Controlled. The option trees are automatically
expanded so the highlighted options are immediately viewable and there is no need to expand all items to check
for highlighted options.
Glossary
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.
Clinical Trial Study Type
A Clinical Trial Study is a finding specific to a clinical trial.
Owner Email
The email address of the Study Owner, which may be used to contact the Investigators involved in the
NDA Study and/or the associated publication.
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.
Shared
The term 'Shared' generally means available to others; however, there are some slightly different meanings based
on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or
whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA
Study have been shared as this is independently determined. Data are shared according the schedule defined in a
Collection's Data Expected Tab and/or in accordance with data sharing expectations in the
NDA Data Sharing Terms and Conditions.
Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are
shared.
Finding Study Type
The Finding Study Type associates data to a publication or some type of result.
Study ID Number
The Study ID number is a unique three digit number routinely expressed as S### that is assigned by the NDA.
Release Study Type
A static, curated data set.
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.
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.
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.
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.
The Data Analysis Tab provides information on the type(s) of data analysis used in the NDA Study as defined
by the Study Owner. The NDA allows those that define a Study to include their own data analysis methods as
needed, however, to support harmonization, these must first be approved by the NDA prior to sharing the
study. Additionally, files and links to other websites are also supported here as those documents
generally, but not necessarily, relate to data analysis methods.
Frequently Asked Questions
How do I know which data analysis options were used in the NDA Study?
The appropriate Genotyping/NGS, Microarray/Protein Analysis, Neuro Signal Recordings, and Statistical options
used by the researcher are highlighted in yellow. The option trees are automatically expanded so the
highlighted options are immediately viewable so there is no need to expand all items to check for highlighted
options.
Glossary
Download Button
Adds all data from the current Collection or NDA Study to the Filter Cart.
Owner Email
The email address of the Study Owner, which may be used to contact the Investigators involved in the
NDA Study and/or the associated publication.
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.
Shared
The term 'Shared' generally means available to others; however, there are some slightly different meanings based
on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or
whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA
Study have been shared as this is independently determined. Data are shared according the schedule defined in a
Collection's Data Expected Tab and/or in accordance with data sharing expectations in the
NDA Data Sharing Terms and Conditions.
Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are
shared.
Study ID Number
The Study ID number is a unique three digit number routinely expressed as S### that is assigned by the NDA.
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.
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.
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.
Clinical Trial Study Type
A Clinical Trial Study is a finding specific to a clinical trial.
Finding Study Type
The Finding Study Type associates data to a publication or some type of result.
Release Study Type
A static, curated data set.
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.
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.