From Raw Data to Reproducible Workflows
Prototyping Automated Data Organisation for the Stefan Zweig Digital Project Research data repositories are getting better and bigger, but they often enter the scene only once a dataset is “ready”: complete, curated, and packaged. In day-to-day archival digitisation, and research data management generally, the hard part often comes earlier. That earlier phase is where raw files accumulate, names and metadata change, and a lot of invisible work happens long before anything is fit for repository...
