Abstract
The advent of data intensive science has fueled the generation of digital scientific data. Undoubtedly, digital research data plays a pivotal role in transparency and re-producibility of scientific results as well as in steering the innovation in a research process. However, the main challenges for science policy and infrastructure projects are to develop practices and solutions for research data management which in compliance with good scientific standards make the research data discoverable, citeble and accessible for society potential reuse. GeRDI – the Generic Research Data (RD) Infrastructure – is such a research data management initiative which targets long tail content that stems from research communities belonging to different domain and research practices. It provides a generic and open software which connects research data infrastructures of communities to enable the investigation of multidisciplinary research questions.
Highlights
The collection and organization of data has been an integral part in steering the research process
In order to reap the benefits of research data (RD), funding agencies and manynational initiatives such as European Open Science Cloud (EOSC)3 and GO FAIR Initiative4 are already pushing for a set of criteria that RD needs to abide by
As some of the impactful research happens at the cross roads of different disciplines, we consider infrastructure for long tail RD as an enabler for the modern disciplinary research initiative and practices
Summary
The advent of data intensive science has fueled the generation of digital scientific data. The main challenges for science policy and infrastructure projects are to develop practices and s olutions for research data management which in compliance with good scientific standards make the research data discoverable, citeble and accessible for society potential reuse. GeRDI – the Generic Research Data (RD) Infrastructure – is such a research data management initiative which targets long tail content that stems from research communities belonging to different domain and research practices. It provides a generic and open software which connects research data infrastructures of communities to enable the investigation of multidisciplinary research questions
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