Merge pull request #66 from brainhackorg/publish-project

[ENH] Convert issues to project pages

content/project/project_30.md

@@ -84,7 +84,7 @@
       "color": "FBCA04"
     }
   ],
-  "content": "### Title\r\n\r\nClustintime: a toolbox for spatio-temporal clustering of fMRI data\r\n\r\n### Leaders\r\n\r\nCris Tob\u00edas (@ctobias)\r\n\r\n### Collaborators\r\n\r\n_No response_\r\n\r\n### Brainhack Global 2023 Event \r\n\r\nBrainhack Donostia\r\n\r\n### Project Description\r\n\r\n- What are you doing, for whom, and why?\r\nThis project is a toolbox that allows researchers in neuroimage to apply clustering methods to fMRI data on the spatiotemporal domain. Conventional methods of clustering in fMRI allow to see spatial patterns but cannot describe the temporal dynamics of functional activity. \r\n\r\n- What makes your project special and exciting?\r\nProviding a tool for researchers interested in analyzing brain patterns in uncontrolled fmri experiments or clinical settings is a necessity that has not been covered yet and that could be done through clustintime. \r\n\r\n- How to get started?\r\nClustintime has been under development for a few years and has been already tried on data from individual epileptic patients, the skeletton of the project is already done, now there is need to transform it into a proper toolbox to release the first version of the software. \r\n\r\n- Where to find key resources?\r\nThe project already has its repository on GitHub (https://github.com/Cristina-Tobias/clustintime) and a public fMRI data will be used for testing.\r\n\r\n\r\n### Link to project repository/sources\r\n\r\nhttps://github.com/Cristina-Tobias/clustintime\r\n\r\n### Goals for Brainhack Global\r\n\r\nCreate integration testing suite/framework\r\nCreate CI/CD pipeline \r\nPopulate CI/CD pipeline with checks\r\n\r\n**Release version 0.1.0** \r\n\r\nCreate documentation\r\nImprove user experience of adding input\r\nStructure output messages\r\n\r\n**Release version 0.2.0**\r\n\r\nIntroduce new features\r\n- group analysis\r\n- consensus clustering\r\n\r\n**Release version 1.0.0**\r\n\r\n### Good first issues\r\n\r\nIssue 1: Create integration testing suite/framework\r\n- Find usable data\r\n- Execute each algorithm in a reproducible way (fix seed)\r\n- Integrate into CI/CD pipeline\r\n\r\nIssue 2: Create CI/CD pipeline \r\n- Find free tier provider\r\n- e.g., github actions, circleci\r\n\r\nIssue 3: Populate CI/CD pipeline with checks\r\n- Pylint, flake8, black, isort, ...\r\n\r\n\r\n### Communication channels\r\n\r\nhttps://mattermost.bcbl.eu/spin-lab/channels/clustintime_bhd\r\n\r\n### Skills\r\n\r\n- Git: intermediate\r\n- Python: advanced (only for those that want to develop new methods)\r\n- Markdown: intermediate\r\n- Bash: begginer\r\n\r\n### Onboarding documentation\r\n\r\n_No response_\r\n\r\n### What will participants learn?\r\n\r\n- Experience on collaborating with git \r\n- Experience on how to design and build an open-source library\r\n- Different methods of fMRI visualization\r\n- Unsupervised machine learning methods for fMRI\r\n\r\n### Data to use\r\n\r\n_No response_\r\n\r\n### Number of collaborators\r\n\r\nmore\r\n\r\n### Credit to collaborators\r\n\r\nProject contributors will be acknowledged as contributors in GitHub, credit will also be given in future publications (if any) to those who make a major contribution to the toolbox. \r\n\r\n### Image\r\n\r\nLeave this text if you don't have an image yet.\r\n\r\n### Type\r\n\r\ncoding_methods, documentation, method_development, pipeline_development\r\n\r\n### Development status\r\n\r\n1_basic structure\r\n\r\n### Topic\r\n\r\ndata_visualisation, machine_learning\r\n\r\n### Tools\r\n\r\nother\r\n\r\n### Programming language\r\n\r\nPython\r\n\r\n### Modalities\r\n\r\nfMRI\r\n\r\n### Git skills\r\n\r\n2_branches_PRs\r\n\r\n### Anything else?\r\n\r\n_No response_\r\n\r\n### Things to do after the project is submitted and ready to review.\r\n\r\n- [ ] Add a comment below the main post of your issue saying: `Hi @brainhackorg/project-monitors my project is ready!`\r\n- [ ] Twitter-sized summary of your project pitch.",
+  "content": "### Title\r\n\r\nClustintime: a toolbox for spatio-temporal clustering of fMRI data\r\n\r\n### Leaders\r\n\r\nCris Tob\u00edas (@cristobias)\r\n\r\n### Collaborators\r\n\r\n_No response_\r\n\r\n### Brainhack Global 2023 Event \r\n\r\nBrainhack Donostia\r\n\r\n### Project Description\r\n\r\n- What are you doing, for whom, and why?\r\nThis project is a toolbox that allows researchers in neuroimage to apply clustering methods to fMRI data on the spatiotemporal domain. Conventional methods of clustering in fMRI allow to see spatial patterns but cannot describe the temporal dynamics of functional activity. \r\n\r\n- What makes your project special and exciting?\r\nProviding a tool for researchers interested in analyzing brain patterns in uncontrolled fmri experiments or clinical settings is a necessity that has not been covered yet and that could be done through clustintime. \r\n\r\n- How to get started?\r\nClustintime has been under development for a few years and has been already tried on data from individual epileptic patients, the skeletton of the project is already done, now there is need to transform it into a proper toolbox to release the first version of the software. \r\n\r\n- Where to find key resources?\r\nThe project already has its repository on GitHub (https://github.com/Cristina-Tobias/clustintime) and a public fMRI data will be used for testing.\r\n\r\n\r\n### Link to project repository/sources\r\n\r\nhttps://github.com/Cristina-Tobias/clustintime\r\n\r\n### Goals for Brainhack Global\r\n\r\nCreate integration testing suite/framework\r\nCreate CI/CD pipeline \r\nPopulate CI/CD pipeline with checks\r\n\r\n**Release version 0.1.0** \r\n\r\nCreate documentation\r\nImprove user experience of adding input\r\nStructure output messages\r\n\r\n**Release version 0.2.0**\r\n\r\nIntroduce new features\r\n- group analysis\r\n- consensus clustering\r\n\r\n**Release version 1.0.0**\r\n\r\n### Good first issues\r\n\r\nIssue 1: Create integration testing suite/framework\r\n- Find usable data\r\n- Execute each algorithm in a reproducible way (fix seed)\r\n- Integrate into CI/CD pipeline\r\n\r\nIssue 2: Create CI/CD pipeline \r\n- Find free tier provider\r\n- e.g., github actions, circleci\r\n\r\nIssue 3: Populate CI/CD pipeline with checks\r\n- Pylint, flake8, black, isort, ...\r\n\r\n\r\n### Communication channels\r\n\r\nhttps://mattermost.brainhack.org/brainhack/channels/clustintime\r\n\r\n### Skills\r\n\r\n- Git: intermediate\r\n- Python: advanced (only for those that want to develop new methods)\r\n- Markdown: intermediate\r\n- Bash: begginer\r\n\r\n### Onboarding documentation\r\n\r\n_No response_\r\n\r\n### What will participants learn?\r\n\r\n- Experience on collaborating with git \r\n- Experience on how to design and build an open-source library\r\n- Different methods of fMRI visualization\r\n- Unsupervised machine learning methods for fMRI\r\n\r\n### Data to use\r\n\r\n_No response_\r\n\r\n### Number of collaborators\r\n\r\nmore\r\n\r\n### Credit to collaborators\r\n\r\nProject contributors will be acknowledged as contributors in GitHub, credit will also be given in future publications (if any) to those who make a major contribution to the toolbox. \r\n\r\n### Image\r\n\r\nLeave this text if you don't have an image yet.\r\n\r\n### Type\r\n\r\ncoding_methods, documentation, method_development, pipeline_development\r\n\r\n### Development status\r\n\r\n1_basic structure\r\n\r\n### Topic\r\n\r\ndata_visualisation, machine_learning\r\n\r\n### Tools\r\n\r\nother\r\n\r\n### Programming language\r\n\r\nPython\r\n\r\n### Modalities\r\n\r\nfMRI\r\n\r\n### Git skills\r\n\r\n2_branches_PRs\r\n\r\n### Anything else?\r\n\r\n_No response_\r\n\r\n### Things to do after the project is submitted and ready to review.\r\n\r\n- [ ] Add a comment below the main post of your issue saying: `Hi @brainhackorg/project-monitors my project is ready!`\r\n- [ ] Twitter-sized summary of your project pitch.",
   "project_url": "https://github.com/Cristina-Tobias/clustintime",
   "project_description": "\r\n\r\n- What are you doing, for whom, and why?\r\nThis project is a toolbox that allows researchers in neuroimage to apply clustering methods to fMRI data on the spatiotemporal domain. Conventional methods of clustering in fMRI allow to see spatial patterns but cannot describe the temporal dynamics of functional activity. \r\n\r\n- What makes your project special and exciting?\r\nProviding a tool for researchers interested in analyzing brain patterns in uncontrolled fmri experiments or clinical settings is a necessity that has not been covered yet and that could be done through clustintime. \r\n\r\n- How to get started?\r\nClustintime has been under development for a few years and has been already tried on data from individual epileptic patients, the skeletton of the project is already done, now there is need to transform it into a proper toolbox to release the first version of the software. \r\n\r\n- Where to find key resources?\r\nThe project already has its repository on GitHub (https://github.com/Cristina-Tobias/clustintime) and a public fMRI data will be used for testing.\r\n\r\n\r\n"
 }