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https://doi.org/10.5334/dsj- 2023-003
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What are Researchers' Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases
[journal article]
Abstract Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users' wishes. This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases we... view more
Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users' wishes. This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases were collected between 2019 and 2020. We categorized the information across 12 'topics' and eight types of users. While the availability of metadata was an expected topic of importance, users were also keen on receiving more information on data citation and a better overview of their field. We conducted and analysed a survey among data infrastructure specialists in a first attempt at ranking the requirements. Between these data professionals, these rankings were very different, excepting the availability of metadata and data quality assessment.... view less
Keywords
data access; data documentation; data quality
Classification
Information and Documentation, Libraries, Archives
Free Keywords
Data Discovery; Research Data; Use Cases; Requirements
Document language
English
Publication Year
2023
Page/Pages
p. 1-8
Journal
Data Science Journal, 22 (2023)
ISSN
1683-1470
Status
Published Version; peer reviewed
Licence
Creative Commons - Attribution 4.0
FundingFunded by the German Research Foundation (DFG) - Project number 442494171