{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:21:12Z","timestamp":1760242872645,"version":"build-2065373602"},"reference-count":58,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T00:00:00Z","timestamp":1482451200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Publications"],"abstract":"<jats:p>This White Paper reports the outcome of a Workshop on \u201cResearch Data Service Discoverability\u201d held in the island of Santorini (GR) on 21\u201322 April 2016 and organized in the context of the EU funded Project \u201cRDA-E3\u201d. 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.<\/jats:p>","DOI":"10.3390\/publications5010001","type":"journal-article","created":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T09:47:26Z","timestamp":1482486446000},"page":"1","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["White Paper on Research Data Service Discoverability"],"prefix":"10.3390","volume":"5","author":[{"given":"Costantino","family":"Thanos","sequence":"first","affiliation":[{"name":"Institute of Information Science and Technologies, National Research Council of Italy, 56124 Pisa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1856-7334","authenticated-orcid":false,"given":"Friederike","family":"Klan","sequence":"additional","affiliation":[{"name":"Institute of Computer Science, Friedrich-Schiller-Universit\u00e4t Jena, Ernst-Abbe-Platz 2-4, 07743 Jena, Germany"}]},{"given":"Kyriakos","family":"Kritikos","sequence":"additional","affiliation":[{"name":"Institute of Computer Science, Foundation for Research and Technology\u2014Hellas (FORTH), N. Plastira 100, Vasilika Voytwn, GR-700 13 Heraklion, Crete, Greece"}]},{"given":"Leonardo","family":"Candela","sequence":"additional","affiliation":[{"name":"Institute of Information Science and Technologies, National Research Council of Italy, 56124 Pisa, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2016,12,23]]},"reference":[{"key":"ref_1","unstructured":"Hey, T., Tansley, S., and Tolle, K. (2009). The Fourth Paradigm: Data Intensive Scientific Discovery, Microsoft Research."},{"key":"ref_2","unstructured":"National Research Council (1997). Bits of Power: Issues in Global Access to Scientific Data, National Academy Press."},{"key":"ref_3","unstructured":"Committee for a Study on Promoting Access to Scientific and Technical Data for the Public Interest, Commission on Physical Sciences, Mathematics, and Applications, Division on Engineering and Physical Sciences, and National Research Council (1999). 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