new cosa apps

package.json

@@ -108,7 +108,7 @@
     "eslint-plugin-react-hooks": "^4.3.0",
     "gh-pages": "^3.2.3",
     "prettier": "^2.5.1",
-    "react-scripts": "5.0.0",
+    "react-scripts": "^5.0.0",
     "typescript-plugin-css-modules": "^3.4.0"
   }
 }

src/assets/projects/SDW/SDW.json

@@ -0,0 +1,41 @@
+{
+  "projectInfo": {
+    "projectName": "Study Definitions Workbench (SDW)",
+    "projectOwner": "Dave Iberson-Hurst",
+    "projectContact": [
+      "dih@data4knowledge.dk"
+    ],
+    "projectLandingPage": "https://github.com/data4knowledge/study_definitions_workbench",
+    "projectRepository": "https://github.com/data4knowledge/study_definitions_workbench",
+    "programmingLanguage": [
+      "Python"
+    ],
+    "openSourceLicense": [
+      "AGPL-3.0"
+    ],
+    "cdiscStandards": [
+      "USDM"
+    ],
+    "agreeWithCdiscCodeOfEthics": true,
+    "projectMaturity": "Beta. Formal tests are currently being added.",
+    "user": [
+      "Use of the tool has a wide scope. It may be tool developers, it may be those adopting or users of USDM/M11."
+    ],
+    "logoUrl": "https://github.com/data4knowledge/study_definitions_workbench/blob/main/app/static/images/logo.png"
+  },
+  "detailedDescription": {
+    "problem": "The Unified Study Definitions Model (USDM) is a new CDISC standard. Alongside, and associated with USDM, is the emerging ICH M11 protocol document template  standard combined with the HL7 Vulcan FHIR message support for M11. The emergence of these new standards comes with significant change management issues and many  in the indusry who adopt, or wish to impelement support for the standards, will need simpe tool support to assist them in their journey. ",
+    "solution": "The Study Definitions Workbench provides a set of tools to assist users and developers in adopting USDM, M11 and the associated FHIR messages. It will also bring together \nsome of the early tooling development to show the USDM in one place. Currently functions include (but being rapidly expanded):\n* Import of USDM Excel study definitions\n* Import of ICH M11 protocl documents\n* Export to USDM JSON\n* Export to HL7 FHIR messages\n* Dashboard views of imported content",
+    "openSourceConsiderations": "SDW is published under the AGPL-3.0 license. ",
+    "maintenanceModel": "The project uses the usual GitHub main and development branches. Issues and feedback can be reported via GitHub from within the tool. The intention is to improve the \ndevelopment process to include CI/CD along with automated testing etc.",
+    "projectSize": "Currently small but envisaged to be medium longer term.",
+    "contributors": "Currently d4k support development of the tool",
+    "userDetails": "The primary users are those wanting to gain expereince with the USDM, ICH M11 and/or the associated FHIR implementations.",
+    "preRequisites": "The software is a web application utilizing Python, FastAPI, Uvicorn and Bootstrap. As such it can be hosted in a variety of environments. Currently the following are supported:\n- A d4k hosted version such that users can just use the application without the need to host. Login via username/password, Google, Apple or GitHub accounts.\n- Self hosting via a Docker image (https://hub.docker.com/r/data4knowledge/sdw).\n  - Currently linux/amd64 and linux/arm64 builds supported.\n  - Further docker builds will be supported (e.g windows environments) in the future.\n- Self hosted via cloning the github library and execute within whatever environment the user wishes.\nThe software can execute in single or multiple user modes. The multiple user mode requires an external Okta Auth0 account to handle user management.",
+    "projectServiceOptions": "TBD.",
+    "sponsors": "N.A.",
+    "goalsObjectives": "The main goal is to foster the adoption of USDM and M11",
+    "communications": "Via LinkedIn. Where possible it will be promoted at industry conferences.",
+    "additonalInformation": "N.A."
+  }
+}

src/assets/projects/SDW/SDW.yaml

@@ -0,0 +1,59 @@
+---
+projectInfo:
+  projectName: Study Definitions Workbench (SDW)
+  projectOwner: Dave Iberson-Hurst
+  projectContact:
+  - dih@data4knowledge.dk
+  projectLandingPage: https://github.com/data4knowledge/study_definitions_workbench
+  projectRepository: https://github.com/data4knowledge/study_definitions_workbench
+  programmingLanguage:
+  - Python
+  openSourceLicense:
+  - AGPL-3.0
+  cdiscStandards:
+  - USDM
+  agreeWithCdiscCodeOfEthics: true
+  projectMaturity: Beta. Formal tests are currently being added.
+  user:
+  - Use of the tool has a wide scope. It may be tool developers, it may be those adopting or users of USDM/M11.
+  logoUrl: https://github.com/data4knowledge/study_definitions_workbench/blob/main/app/static/images/logo.png
+detailedDescription:
+  problem: >-
+    The Unified Study Definitions Model (USDM) is a new CDISC standard. Alongside, and associated with USDM, is the emerging ICH M11 protocol document template 
+    standard combined with the HL7 Vulcan FHIR message support for M11. The emergence of these new standards comes with significant change management issues and many 
+    in the indusry who adopt, or wish to impelement support for the standards, will need simpe tool support to assist them in their journey. 
+  solution: |-
+    The Study Definitions Workbench provides a set of tools to assist users and developers in adopting USDM, M11 and the associated FHIR messages. It will also bring together 
+    some of the early tooling development to show the USDM in one place. Currently functions include (but being rapidly expanded):
+    * Import of USDM Excel study definitions
+    * Import of ICH M11 protocl documents
+    * Export to USDM JSON
+    * Export to HL7 FHIR messages
+    * Dashboard views of imported content
+  openSourceConsiderations: |-
+    SDW is published under the AGPL-3.0 license. 
+  maintenanceModel: |-
+    The project uses the usual GitHub main and development branches. Issues and feedback can be reported via GitHub from within the tool. The intention is to improve the 
+    development process to include CI/CD along with automated testing etc.
+  projectSize:  |-
+    Currently small but envisaged to be medium longer term.
+  contributors:  |-
+    Currently d4k support development of the tool
+  userDetails:  |-
+    The primary users are those wanting to gain expereince with the USDM, ICH M11 and/or the associated FHIR implementations.
+  preRequisites: |-
+    The software is a web application utilizing Python, FastAPI, Uvicorn and Bootstrap. As such it can be hosted in a variety of environments. Currently the following are supported:
+    - A d4k hosted version such that users can just use the application without the need to host. Login via username/password, Google, Apple or GitHub accounts.
+    - Self hosting via a Docker image (https://hub.docker.com/r/data4knowledge/sdw).
+      - Currently linux/amd64 and linux/arm64 builds supported.
+      - Further docker builds will be supported (e.g windows environments) in the future.
+    - Self hosted via cloning the github library and execute within whatever environment the user wishes.
+    The software can execute in single or multiple user modes. The multiple user mode requires an external Okta Auth0 account to handle user management.
+  projectServiceOptions:  |-
+    TBD.
+  sponsors: N.A.
+  goalsObjectives:  |-
+    The main goal is to foster the adoption of USDM and M11
+  communications:  |-
+    Via LinkedIn. Where possible it will be promoted at industry conferences.
+  additonalInformation:  N.A.

src/assets/projects/cards/cards.json

@@ -0,0 +1,42 @@
+{
+  "projectInfo": {
+    "projectName": "cards",
+    "projectOwner": "Daniel Sjoberg",
+    "projectContact": "danield.sjoberg@gmail.com",
+    "projectLandingPage": "https://insightsengineering.github.io/cards/latest-tag/",
+    "projectRepository": "https://github.com/insightsengineering/cards",
+    "programmingLanguage": [
+      "R"
+    ],
+    "openSourceLicense": [
+      "Apache-2.0"
+    ],
+    "cdiscStandards": [
+      "ARS"
+    ],
+    "agreeWithCdiscCodeOfEthics": true,
+    "projectMaturity": "Stable",
+    "user": [
+      "Programmer",
+      "Biostatistician",
+      "Medical Writer",
+      "Study Designer"
+    ],
+    "logoUrl": "https://github.com/insightsengineering/cards/blob/main/data-raw/cards-hex-sticker.png"
+  },
+  "detailedDescription": {
+    "problem": "The CDISC Analysis Results Standard outlines how Analysis Results Datasets (ARDs) streamline reporting, but does not provide the tooling for creating ARDs.",
+    "solution": "The {cards} R package is a tool to create ARDs. The package also includes many utilities to assist users in creating ARDs for bespoke statistical analyses.",
+    "openSourceConsiderations": "The product is a collaboration with Genentech, Roche, GSK, and Novartis and we are able to utilize the skills and knowledge across companies to build a better product. ",
+    "maintenanceModel": "Daniel Sjoberg is the maintainer of the project, which is administered on GitHub.com where users can communicate with the authors to report any bugs and make feature requests.",
+    "projectSize": "Large",
+    "contributors": "To contribute, a Contributor License Agreement must be electronically signed. We also have an boarding website for longer term contributors to review.",
+    "userDetails": "Users may freely download the project from CRAN or directly from GitHub.",
+    "preRequisites": "Users must have the R programming language available.",
+    "projectServiceOptions": "Questions are answered in public forums on GitHub where project authors or community members may respond.",
+    "sponsors": "Roche, GSK",
+    "goalsObjectives": "The goal of the project is to make it simple to create ARDs, both standard and bespoke statistical methods.",
+    "communications": "The project is a part of the pharmaverse where users may follow the blog or Slack to receive information about important updates. Users can also subscribe to changes on the GitHub repository to be notified immediately of all changes.",
+    "additonalInformation": ""
+  }
+}

src/assets/projects/cards/cards.yaml

@@ -0,0 +1,49 @@
+projectInfo:
+  projectName: cards
+  projectOwner: Daniel Sjoberg
+  projectContact: danield.sjoberg@gmail.com
+  projectLandingPage: https://insightsengineering.github.io/cards/latest-tag/
+  projectRepository: https://github.com/insightsengineering/cards
+  programmingLanguage:
+    - R
+  openSourceLicense:
+    - Apache-2.0
+  cdiscStandards:
+    - ARS
+  agreeWithCdiscCodeOfEthics: true
+  projectMaturity: Stable
+  user:
+    - Programmer
+    - Biostatistician
+    - Medical Writer
+    - Study Designer
+  logoUrl: https://github.com/insightsengineering/cards/blob/main/data-raw/cards-hex-sticker.png
+detailedDescription:
+  problem: The CDISC Analysis Results Standard outlines how Analysis Results
+    Datasets (ARDs) streamline reporting, but does not provide the tooling for
+    creating ARDs.
+  solution: The {cards} R package is a tool to create ARDs. The package also
+    includes many utilities to assist users in creating ARDs for bespoke
+    statistical analyses.
+  openSourceConsiderations: "The product is a collaboration with Genentech, Roche,
+    GSK, and Novartis and we are able to utilize the skills and knowledge across
+    companies to build a better product. "
+  maintenanceModel: Daniel Sjoberg is the maintainer of the project, which is
+    administered on GitHub.com where users can communicate with the authors to
+    report any bugs and make feature requests.
+  projectSize: Large
+  contributors: To contribute, a Contributor License Agreement must be
+    electronically signed. We also have an boarding website for longer term
+    contributors to review.
+  userDetails: Users may freely download the project from CRAN or directly from GitHub.
+  preRequisites: Users must have the R programming language available.
+  projectServiceOptions: Questions are answered in public forums on GitHub where
+    project authors or community members may respond.
+  sponsors: Roche, GSK
+  goalsObjectives: The goal of the project is to make it simple to create ARDs,
+    both standard and bespoke statistical methods.
+  communications: The project is a part of the pharmaverse where users may follow
+    the blog or Slack to receive information about important updates. Users can
+    also subscribe to changes on the GitHub repository to be notified
+    immediately of all changes.
+  additonalInformation: ""

src/assets/projects/cardx/cardx.json

@@ -0,0 +1,42 @@
+{
+  "projectInfo": {
+    "projectName": "cardx",
+    "projectOwner": "Daniel Sjoberg",
+    "projectContact": "danield.sjoberg@gmail.com",
+    "projectLandingPage": "https://insightsengineering.github.io/cardx/latest-tag/",
+    "projectRepository": "https://github.com/insightsengineering/cardx",
+    "programmingLanguage": [
+      "R"
+    ],
+    "openSourceLicense": [
+      "Apache-2.0"
+    ],
+    "cdiscStandards": [
+      "ARS"
+    ],
+    "agreeWithCdiscCodeOfEthics": true,
+    "projectMaturity": "Stable",
+    "user": [
+      "Programmer",
+      "Biostatistician",
+      "Medical Writer",
+      "Study Designer"
+    ],
+    "logoUrl": "https://github.com/insightsengineering/cardx/blob/main/data-raw/cardx-hex-sticker.png"
+  },
+  "detailedDescription": {
+    "problem": "The CDISC Analysis Results Standard outlines how Analysis Results Datasets (ARDs) streamline reporting, but does not provide the tooling for creating ARDs.",
+    "solution": "The {cardx} R package is a tool that builds on the {cards} project to create ARDs for simple and complex statistical methods.",
+    "openSourceConsiderations": "The product is a collaboration with Genentech, Roche, GSK, and Novartis and we are able to utilize the skills and knowledge across companies to build a better product. ",
+    "maintenanceModel": "Daniel Sjoberg is the maintainer of the project, which is administered on GitHub.com where users can communicate with the authors to report any bugs and make feature requests.",
+    "projectSize": "Medium",
+    "contributors": "To contribute, a Contributor License Agreement must be electronically signed. We also have an boarding website for longer term contributors to review.",
+    "userDetails": "Users may freely download the project from CRAN or directly from GitHub.",
+    "preRequisites": "Users must have the R programming language available.",
+    "projectServiceOptions": "Questions are answered in public forums on GitHub where project authors or community members may respond.",
+    "sponsors": "Roche",
+    "goalsObjectives": "The goal of the project is to make it simple to create ARDs, both standard and bespoke statistical methods.",
+    "communications": "The project is a part of the pharmaverse where users may follow the blog or Slack to receive information about important updates. Users can also subscribe to changes on the GitHub repository to be notified immediately of all changes.",
+    "additonalInformation": ""
+  }
+}

src/assets/projects/cardx/cardx.yaml

@@ -0,0 +1,47 @@
+projectInfo:
+  projectName: cardx
+  projectOwner: Daniel Sjoberg
+  projectContact: danield.sjoberg@gmail.com
+  projectLandingPage: https://insightsengineering.github.io/cardx/latest-tag/
+  projectRepository: https://github.com/insightsengineering/cardx
+  programmingLanguage:
+    - R
+  openSourceLicense:
+    - Apache-2.0
+  cdiscStandards:
+    - ARS
+  agreeWithCdiscCodeOfEthics: true
+  projectMaturity: Stable
+  user:
+    - Programmer
+    - Biostatistician
+    - Medical Writer
+    - Study Designer
+  logoUrl: https://github.com/insightsengineering/cardx/blob/main/data-raw/cardx-hex-sticker.png
+detailedDescription:
+  problem: The CDISC Analysis Results Standard outlines how Analysis Results
+    Datasets (ARDs) streamline reporting, but does not provide the tooling for
+    creating ARDs.
+  solution: The {cardx} R package is a tool that builds on the {cards} project to create ARDs for simple and complex statistical methods.
+  openSourceConsiderations: "The product is a collaboration with Genentech, Roche,
+    GSK, and Novartis and we are able to utilize the skills and knowledge across
+    companies to build a better product. "
+  maintenanceModel: Daniel Sjoberg is the maintainer of the project, which is
+    administered on GitHub.com where users can communicate with the authors to
+    report any bugs and make feature requests.
+  projectSize: Medium
+  contributors: To contribute, a Contributor License Agreement must be
+    electronically signed. We also have an boarding website for longer term
+    contributors to review.
+  userDetails: Users may freely download the project from CRAN or directly from GitHub.
+  preRequisites: Users must have the R programming language available.
+  projectServiceOptions: Questions are answered in public forums on GitHub where
+    project authors or community members may respond.
+  sponsors: Roche
+  goalsObjectives: The goal of the project is to make it simple to create ARDs,
+    both standard and bespoke statistical methods.
+  communications: The project is a part of the pharmaverse where users may follow
+    the blog or Slack to receive information about important updates. Users can
+    also subscribe to changes on the GitHub repository to be notified
+    immediately of all changes.
+  additonalInformation: ""