DataLad-Registry is a service that maintains up-to-date information on over ten thousand datasets, with the collection expanding as more datasets are added.
Finding a compromise between researchers’ needs, their skills in data management, data access restrictions, and limited funding for RDM is a complex but highly relevant and timely challenge.
Scientific computing workflows have become increasingly complex, often comprising of numerous interdependent tasks executed on distributed computing resources.