diff --git a/modules/adding-users-to-specialized-data-science-user-groups.adoc b/modules/adding-users-to-specialized-data-science-user-groups.adoc index a2fcec90..5e1fd1ca 100644 --- a/modules/adding-users-to-specialized-data-science-user-groups.adoc +++ b/modules/adding-users-to-specialized-data-science-user-groups.adoc @@ -7,9 +7,9 @@ By default, all OpenShift users have access to {productname-long}. Optionally, you can restrict user access to your {productname-short} instance by defining specialized user groups. You must grant users permission to access {productname-long} by adding user accounts to the {productname-long} user group, administrator group, or both. You can either use the default group name, or specify a group name that already exists in your identity provider. -The *user group* provides the user with access to developer functions in the {productname-long} dashboard, and associated services, such as Jupyter. +The *user group* provides the user with access to product components in the {productname-long} dashboard, such as data science pipelines, and associated services, such as Jupyter. By default, users in the *user group* have access to data science pipeline applications within data science projects that they created. -The *administrator group* provides the user with access to developer and administrator functions in the {productname-long} dashboard and associated services, such as Jupyter. +The *administrator group* provides the user with access to developer and administrator functions in the {productname-long} dashboard, such as data science pipelines, and associated services, such as Jupyter. Users in the *administrator group* can configure data science pipeline applications in the {productname-short} dashboard for any data science project. If you restrict access by using specialized user groups, users that are not in the {productname-short} user group or administrator group cannot view the dashboard and use associated services, such as Jupyter. They are also unable to access the *Cluster settings* page. diff --git a/modules/defining-data-science-admin-and-user-groups.adoc b/modules/defining-data-science-admin-and-user-groups.adoc index 7d642065..45da99fc 100644 --- a/modules/defining-data-science-admin-and-user-groups.adoc +++ b/modules/defining-data-science-admin-and-user-groups.adoc @@ -16,7 +16,6 @@ endif::[] You can define additional administrator and user groups by using the {productname-short} dashboard. - .Prerequisites ifdef::upstream[] diff --git a/modules/overview-of-user-types-and-permissions.adoc b/modules/overview-of-user-types-and-permissions.adoc index 437404f7..24b3fec8 100644 --- a/modules/overview-of-user-types-and-permissions.adoc +++ b/modules/overview-of-user-types-and-permissions.adoc @@ -11,7 +11,7 @@ Table 1 describes the {productname-long} user types. | User Type | Permissions | Data scientists -| Data scientists can access and use individual components of {productname-long}, such as Jupyter. +| Data scientists can access and use individual components of {productname-long}, such as Jupyter and data science pipelines. ifndef::upstream[] See also link:{rhoaidocshome}{default-format-url}/installing_and_uninstalling_{url-productname-short}/accessing-the-dashboard_install[Accessing the {productname-short} dashboard]. endif::[] @@ -21,7 +21,7 @@ a| In addition to the actions permitted to a data scientist, administrators can * Configure {productname-long} settings. * Access and manage notebook servers. - +* Access and manage data science pipeline applications for any data science project. ifdef::cloud-service[] See also link:https://access.redhat.com/documentation/en-us/openshift_dedicated/{osd-latest-version}/html/cluster_administration/index[OpenShift Dedicated cluster administration] or link:https://access.redhat.com/documentation/en-us/red_hat_openshift_service_on_aws/{rosa-latest-version}/html/cluster_administration/index[Red Hat OpenShift Service on AWS (ROSA) cluster administration]. @@ -53,6 +53,7 @@ The user groups configured in OpenShift, `cluster-admins` and `dedicated-admins` * Adding users to the {productname-short} user and administrator groups, if you are using specialized groups. * Removing users from the {productname-short} user and administrator groups, if you are using specialized groups. * Managing custom environment and storage configuration for users in OpenShift, such as Jupyter notebook resources, ConfigMaps, and persistent volume claims (PVCs). +* Managing data science pipeline servers and pipeline applications from the {productname-short} dashboard, or from the command-line interface (CLI), for any data science project. //For RHODS-1954 [IMPORTANT]