Abstract
This White Paper reports the outcome of a Workshop on “Research Data Service Discoverability” held in the island of Santorini (GR) on 21–22 April 2016 and organized in the context of the EU funded Project “RDA-E3”. The Workshop addressed the main technical problems that hamper an efficient and effective discovery of Research Data Services (RDSs) based on appropriate semantic descriptions of their functional and non-functional aspects. In the context of this White Paper, by RDSs are meant those data services that manipulate/transform research datasets for the purpose of gaining insight into complicated issues. In this White Paper, the main concepts involved in the discovery process of RDSs are defined; the RDS discovery process is illustrated; the main technologies that enable the discovery of RDSs are described; and a number of recommendations are formulated for indicating future research directions and making an automatic RDS discovery feasible.
Highlights
New high-throughput scientific instruments, telescopes, satellites, accelerators, supercomputers, sensor networks, and running simulations are generating massive amounts of research data
This is the act of assigning a category, or more than one category, to an Research Data Services (RDSs), since there might be several disjoint classifications; an RDS might be used for several purposes
Commission Regulation (EC) No 1205/2008. Concluding this paragraph on the Description of RDS, we like to highlight some additional characteristics of RDSs:
Summary
New high-throughput scientific instruments, telescopes, satellites, accelerators, supercomputers, sensor networks, and running simulations are generating massive amounts of research data. The quality of scientific research can potentially be improved by using advanced correlation techniques and analyzing data in better ways; data analysts can sift through massive swaths of data to predict conditions, behaviors, and events in ways unimagined only years earlier Instrumental in making this happen is the realization of the principles of Open Science, i.e., the sharing of results, ideas, methods, tools, services, and data between researchers much earlier and much more extensively than previously. The objective of the Santorini Workshop was to address some of these challenges that hamper effective and efficient research data service discoverability This White Paper gathers the ideas presented and discussed by the participants in the Workshop and organizes them as an organic whole.
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