SFB-onboarding.qmd 2.0 KB

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  1. ---
  2. title: "Gin onboarding"
  3. format: html
  4. editor: visual
  5. ---
  6. # 1. Ice breaking
  7. Please tell your name, group and something you achieved this week.
  8. > Julien Colomb, INF project, I recently register for my Aikido 3.Kyu exam .
  9. # 2. Why GIN-Tonic
  10. - Data science approach: work using code, work in a team, work online
  11. - Research project:
  12. - Git version control + project management tool
  13. - Research repository template
  14. - Special toolbox for many and large files
  15. - DMP: one text file to manage and share
  16. # 3. Getting a GIN account
  17. - https://gindata.biologie.hu-berlin.de/user/sign_up
  18. - write username and group to the data manager (zoom chat/ email)
  19. - The data manager will add you to the organisation prepared for your team
  20. - https://gindata.biologie.hu-berlin.de \>\> sign in
  21. # 4. Create a new project
  22. - https://gindata.biologie.hu-berlin.de
  23. - `Access tonic functions` button at bottom
  24. - project creation
  25. - Click on figure "Project creation" - sign in - erase organisation if there is one - choose organisation (dropdown menu) - Write title (no space) - push `submit` button
  26. # 5. Upload and modify DMP file
  27. - click explore button, search for "INF"
  28. - choose the "[**PRitter_lab / SFB1315_INF.06_dissemination**](https://gindata.biologie.hu-berlin.de/PRitter_lab/SFB1315_INF.06_dissemination)**"** repository (public repository)
  29. -
  30. > > `other` folder \>\> DMP_template.md
  31. - click `download`button
  32. - One person project:
  33. - go to your research repository
  34. - 01_project_management \>\> 05_data_management_plan \>\> click `upload file` button
  35. - choose DMP file and upload it.
  36. - Click the file, modify it,. save it pushing the `Commit Changes`button
  37. # 6. Some comments
  38. - research project = multiple repositories.
  39. - many files is therefore possible
  40. - different sharing of content (organisation, access right, publication)
  41. # 7. Next steps
  42. - Desktop version to work with (large) datasets
  43. - basics of datalad and git