Information Retrieval system evaluation campaigns produce valuable scientific data, which should be preserved carefully so that they can be available for further studies. A complete record should be maintained of all analyses and interpretations in order to ensure that they are reusable in attempts to replicate particular results or in new research and so that they can be referred to or cited at any time. In this paper, we describe the data curation approach for the scientific data produced by evaluation campaigns. The medium/long-term aim is to create a large-scale Digital Library System (DLS) of scientific data which supports services for the creation, interpretation and use of multidisciplinary and multilingual digital content. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Agosti, M., Di Nunzio, G. M., & Ferro, N. (2007). The importance of scientific data curation for evaluation campaigns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4877 LNCS, pp. 157–166). Springer Verlag. https://doi.org/10.1007/978-3-540-77088-6_15
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