Broadsea runs the core OHDSI technology stack (The Atlas web application, and the Hades R library within RStudio Server), using cross-platform Docker container technology.
Information on Observational Health Data Sciences and Informatics (OHDSI)
This repository contains the Docker Compose file used to launch the OHDSI Broadsea Docker containers:
-
OHDSI R HADES - in RStudio Server
-
OHDSI Atlas - including WebAPI REST services
- Docker
- Git
- Chrome web browser
- Download and install Docker. See the installation instructions at the Docker Web Site
- git clone this GitHub repo:
git clone https://github.com/OHDSI/Broadsea.git
- In a command line / terminal window - navigate to the directory where this README.md file is located and start the Broadsea Docker Containers using the below command. On Linux you may need to use 'sudo' to run this command. Wait up to one minute for the Docker containers to start. The docker compose pull command ensures that the latest released versions of the OHDSI ATLAS and OHDSI WebAPI docker containers are downloaded.
docker compose pull && docker compose up -d
- In the Chrome browser open the URL:
"http://127.0.0.1/broadsea" - Click on the Atlas link to open Atlas in a new browser window
- Click on the Hades link to open HADES (RStudio) in a new browser window.
- The RStudio userid is 'ohdsi' and the password is 'mypass'
You can stop the running Docker containers & remove them (new container instances can be started again later) with this command:
docker compose down
Follow the same process as the above quick start but specify the IP address of the remote server in the .env file and the URL.
Edit the .env file replacing the local host IP address '127.0.0.1' with the remote server host IP address.
In the Chrome browser open the URL: http://<host-ip-address>/broadsea (using the remote server host IP address as the '<host-ip-address>').
Broadsea can deploy the OHDSI stack on any of the following infrastructure alternatives:
- laptop / desktop - Note: The Broadsea-Hades Docker container (RStudio server with OHDSI HADES R packages) is not currently supported on Non-Intel Mac computers (M1 or M2)
- internally hosted server
- cloud provider hosted server
- cluster of servers (internally or cloud provider hosted)
It supports any database management system that the OHDSI stack supports. The examples provided in this repository are for connecting to PostgreSQL, Oracle or Microsoft SQL Server databases.
It supports any OS where Docker containers can run, including Windows, Mac OS X and Linux (including Ubuntu, CentOS & CoreOS)
Broadsea deploys the OHDSI technology stack at your local site so you can use it with your own data in an OMOP CDM Version 5 database.
it can be used for the following scenarios:
- Try-out / demo the OHDSI R packages & web applications - Broadsea-Atlasdb contains the following artifacts for demos:
- a tiny simulated patient demo dataset called 'Eunomia'
- a simple concept set
- a simple cohort definition
- Run observational studies on your data (including OHDSI Network studies)
- Run the OHDSI Achilles R package for database profiling, database characterization, data quality assessment on your data & view the reports as tables/charts in the Atlas web application
- Query OMOP vocabularies using the Atlas web application
- Define and generate patient cohorts
- Determine study feasibility based on defined criteria
docker-compose ps
docker logs ohdsi-atlas
docker logs ohdsi-webapi
docker logs broadsea-hades
In order to enable Atlas security in Broadsea, the configuration in the config-local.js file and the docker-compose.yml file must be updated. Each Atlas security authentication method has it's own set of configuration values.
Here is an example showing the javascript code block to add to the config-local.js file for LDAP authentication. It is this javascript code that will enable the Atlas Sign In link and the window where the user can enter their user name and password.
configLocal.userAuthenticationEnabled = true;
configLocal.acceptanceExpiresInDays = 3650;
configLocal.authProviders = [{
"name": "LDAP Authentication",
"url": "user/login/ldap",
"ajax": true,
"icon": "fa fa-cubes",
"isUseCredentialsForm": true
}]Here is an example showing the configuration variables to add to the docker-compose.yml file environment section for LDAP authentication. You will need to update the ldap settings based on your ldap server url and your ldap organizational structure. The ldap system username and password are used to connect to the ldap server and perform the search specified in the ldap search string. In this example the ldap "commonName" field will be searched for a matching username in the Atlas application Sign In Username field. If a match is found then Atlas will also try to bind to that user using the password in the Atlas application Sign In Password field.
- security_enabled=true
- security_origin=*
- security_provider=AtlasRegularSecurity
- security.ldap.dn=cn={0},ou=users,dc=example,dc=org
- security.ldap.url=ldap://host.docker.internal:1389
- security.ldap.baseDn=ou=users,dc=example,dc=org
- security.ldap.system.username=user01
- security.ldap.system.password=password1
- security.ldap.searchString=(&(objectClass=*)(commonName={0}))
- security.ldap.searchBase=ou=users,dc=example,dc=org
Follow the instructions here - Install Docker for Mac
Docker for Mac includes both Docker Engine & Docker Compose
Mac must be a 2010 or newer model, with Intel’s hardware support for memory management unit (MMU) virtualization; i.e., Extended Page Tables (EPT) OS X 10.10.3 Yosemite or newer At least 4GB of RAM VirtualBox prior to version 4.3.30 must NOT be installed (it is incompatible with Docker for Mac). Docker for Mac will error out on install in this case. Uninstall the older version of VirtualBox and re-try the install.
Follow the instructions here - Install Docker for Windows
Docker for Windows includes both Docker Engine & Docker Compose
64bit Windows 10 Pro, Enterprise and Education (1511 November update, Build 10586 or later). In the future Docker will support more versions of Windows 10. The Hyper-V package must be enabled. The Docker for Windows installer will enable it for you, if needed. (This requires a reboot).
Note. Docker for Windows is the preferred Docker environment for Broadsea, but Docker-Toolbox may be used instead if your machine doesn't meet the above requirements. (See info below.)
Follow the instructions here - Install Docker Toolbox on Windows
64bit Windows 7 or higher. The Hyper-V package must be enabled. The Docker for Windows installer will enable it for you, if needed. (This requires a reboot).
###Linux
Follow the instructions here:
Install Docker for Linux
Install Docker Compose for Linux
Docker requires a 64-bit installation. Additionally, your kernel must be 3.10 at minimum. The latest 3.10 minor version or a newer maintained version are also acceptable.
Kernels older than 3.10 lack some of the features required to run Docker containers.
The PostgreSQL jdbc database driver is open source and may be freely distributed. A PostgreSQL jdbc database driver is already included within the OHDSI Broadsea webapi-web-apps container.
If you are using a proprietary database server (e.g. Oracle or Microsoft SQL Server) download your own copy of the database jdbc driver jar file and copy it to the same host directory where the docker-compose.yml file is located.
When the OHDSI Web Tools container runs it will automatically load the jdbc database driver, if it exists in the host directory.
To permanently retain the "rstudio" user files in the "rstudio" user home directory, and make local R packages available to RStudio in the Broadsea Methods container the following steps are required:
- In the same directory where the docker-compose.yml is stored create a sub-directory tree called "home/rstudio" and a sub-directory called "site-library"
- Set the file permissions for the "home/rstudio" sub-directory tree and the "site-library" sub-directory to public read, write and execute.
- Add the below volume mapping statements to the end of the broadsea-methods-library section of the docker-compose.yml file.
volumes:
- ./home/rstudio:/home/rstudio
- ./site-library:/usr/local/lib/R/site-library
Any files added to the home/rstudio or site-library sub-directories on the Docker host can be accessed by RStudio in the container.
The Broadsea Methods container RStudio /usr/lib/R/site-library originally contains the "littler" and "rgl" R packages. Volume mapping masks the original files in the directory so you will need to add those 2 packages to your Docker host site-library sub-directory if you need them.
##Other Information
Licensed under the Apache License, Version 2.0 (the "License"); you may not use the Broadsea software except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.