Very good! Git is an excellent tool to keep track of and organize your analysis workflow, your code and your results.
Git is not a "server". Git is a program that you can install on your personal computer:
To use it, you have to learn some basic concepts and a handful of commands. If you put in a day to read and experiment, your are likely set for 90% of all tasks you ever want to accomplish with Git. Here are some resources to help you:
Here are the best ones:
Even though all commercial providers listed here allow for "private" repositories, none of them should be trusted with sensitive information such as personal data!
git init --bare path/to/secure/location/myrepo.git
git remote set-url --add --push origin https://github.com/username/myrepo.git
git remote set-url --add --push origin path/to/secure/location/myrepo.git
"Open data" means that your dataset is publicly available for unrestricted download and use. The SNSF expects data generated by funded projects to be published as Open Data. Eawag encourages to publish Open Research Data because it reflects well on scientific credibility and contributes to the efficiency of the scientific enterprise.
A DOI (Digital Object Identifier) is a string, such as 10.25678/000066, which is registered in a global registry and is associated with a URL, such as https://doi.org/10.25678/000066, which is redirected to the location of the document, dataset, or landing-page thereof.
DOIs are also associated with meta-data (pretty much everything that you submit when you create a data package in ERIC), which feeds into global search services, such as search.datacite.org or Google Dataset Search and thus makes your work more visible.
The content of a dataset is immutable once a DOI for it is registered. It is then not possible anymore to
We recommend to make an internal data package and submit it to ERIC. Internal packages can always be edited. Then make the data available to the reviewer by uploading it to SwitchDrive. Notify firstname.lastname@example.org to trigger external publication once the dataset is not expected to change anymore.
Do you think your software has the potential to be commercialized?
> Yes: Get in touch with the Knowledge and Technology Transfer Service at EMPA.
Which one then?