You made it!

Time for questions

  • Any questions to the workshop, or DataLad in general?
  • Any concrete use cases you want to discuss?

    • What have we done today?

      First and foremost:
    • We all lost another 0.1 diopters of vision because we stared at a screen the whole day
    • Adina and Lennart talked to much that they will stop now for a week
    • If you're not used to working with a Terminal, changes are high that you'll dream of one tonight. (sorry)
    • If DataLad would be cake, then we would have had so much of it today that we would be diabetic

    What have we done today?

      What else:
    • Today was an incredibly intensive day. We hope that we were able to show you a good selection of things that DataLad can do, and also how we use DataLad day-to-day in our science
    • Beyond DataLad, we've also touched a range of other useful tools and concepts.
      • Version control concepts
      • Collaborative workflows
      • Different types of provenance and ways to computational reproducibility
      • Software containers and how to use them
      • Places to store or share your data, and how to do it in practice
      • ...

    If that's your current status...


    aaaaaahhhhhh I need sleep...
    Then that's okay

    A few take home messages

    • There are many tools that make RDM and science in general easier, more transparent, and more reproducible. DataLad is one of them
    • DataLad is a flexible and extendable tool, and can be combined with much that you may be using anyways
    • If much of what we talked about is new for you: No start will be perfect. Things are hard to do. But: There is documentation and a community for help.
    • If you want to get started with DataLad:
      • Take small steps
      • Take your time
      • Use whatever feature is useful for you
    • If you need help, have a question, feedback, or a feature request, then get in touch :) We are happy to hear about it, either at the DataLad Handbook or at DataLad