From the perspectives of different data (re-)use cases (from University Library, Research Funding Support, Super Computing Centre and LMU Physics Department), this talk will focus on the many aspects of FAIR data. In practice, data should be handled in accordance to the FAIR (Findable, Accessible, Interoperable, Reusable) principles – but what does this mean in scientific day-to-day work?...
We have been running sync-and-share services for about 11 years now and there has been a recurring question from our users is the ability to "park" data from finished projects to somewhere else. Somewhere else often also means a place where others can find it. For this reason we have developed SURF Research Data Connector (SRDC). This is a service sitting between the sync-and-share service and...
Data repositories play an essential role in Research Data Management according to the “FAIR principles” (Wilkinson et al. 2016) and leave less and less to be desired. However, they usually cannot accommodate huge datasets towards the PB range, as they e.g. come from supercomputing - for technical, financial or organisational reasons. In fact, for such datasets even movement to an external...
In the era of data-intensive research and data science, the challenge of managing research data effectively while ensuring FAIR principles isn't just a technical problem—it's a collaborative one. This presentation explores how the needs of researchers, research software providers, and research IT can be addressed together by a commitment to vertical interoperability between research tools and...
