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Publications 2017, 5(1), 1; doi:10.3390/publications5010001

White Paper on Research Data Service Discoverability

1
Institute of Information Science and Technologies, National Research Council of Italy, 56124 Pisa, Italy
2
Institute of Computer Science, Friedrich-Schiller-Universität Jena, Ernst-Abbe-Platz 2-4, 07743 Jena, Germany
3
Institute of Computer Science, Foundation for Research and Technology—Hellas (FORTH), N. Plastira 100, Vasilika Voytwn, GR-700 13 Heraklion, Crete, Greece
*
Author to whom correspondence should be addressed.
Received: 12 December 2016 / Accepted: 19 December 2016 / Published: 23 December 2016
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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. View Full-Text
Keywords: Research Data; Research Data Service (RDS); RDS Metadata; RDS Publication; RDS Catalogue; Service-Level Agreement (SLA) Research Data; Research Data Service (RDS); RDS Metadata; RDS Publication; RDS Catalogue; Service-Level Agreement (SLA)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Thanos, C.; Klan, F.; Kritikos, K.; Candela, L. White Paper on Research Data Service Discoverability. Publications 2017, 5, 1.

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