Data retrieval = Text retrieval?

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Bugaje, Maryam and Chowdhury, Gobinda; Chowdhury, Gobinda and McLeod, Julie and Gillet, Val and Willett, Peter, eds. (2018) Data retrieval = Text retrieval? In: Transforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer-Verlag, GBR, pp. 253-262. ISBN 9783319781044 (https://doi.org/10.1007/978-3-319-78105-1_29)

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Abstract

Due to the comparatively more recent emergence of data retrieval systems than text-based search engines, the former have still yet to achieve similar maturity in terms of standards and techniques. Most of the existing solutions for data retrieval are more or less makeshift adaptations of text retrieval systems rather than purpose-built solutions specially designed to cater to the particular peculiarities, subtleties, and unique requirements of research datasets. In this paper we probe into the key differences between text and data retrieval that bear practical relevance to the retrieval question; these differences we demonstrate by evaluating some representative examples of research data repositories as well as presenting findings from previous studies.

CORE (COnnecting REpositories)