@inproceedings{6cbf937f47c946a6831d2a72de2587d1,
title = "Data retrieval = Text retrieval?",
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.",
keywords = "data retrieval, research data management, research data repositories, text retrieval",
author = "Maryam Bugaje and Gobinda Chowdhury",
note = "This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-78105-1_29; 13th International Conference on Transforming Digital Worlds, iConference 2018 ; Conference date: 25-03-2018 Through 28-03-2018",
year = "2018",
month = mar,
day = "15",
doi = "10.1007/978-3-319-78105-1_29",
language = "English",
isbn = "9783319781044",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "253--262",
editor = "Gobinda Chowdhury and Julie McLeod and Val Gillet and Peter Willett",
booktitle = "Transforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings",
}