The development of a research intelligence tool for rare disease research in the Netherlands

IF 4.1 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Quantitative Science Studies Pub Date : 2024-07-23 DOI:10.1162/qss_a_00320
R. Iping, Ilse Nederveen, B. Ranjbar-Sahraei, Hosein Azarbonyad, Max Dumoulin, Georgios Tsatsaronis, I. M. Mathijssen
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Abstract

This article describes the process of the development of a research intelligence tool to analyse rare disease research in the Netherlands. To the best of our knowledge, this is the first tool that can surface and organise scientific output on rare diseases using established annotation and natural language processing mechanisms. We focus on the track leading up to the development, including strategic motivation and user needs, the development of a proof-of-concept tool, upscaling the idea to a national collaboration project, the development of the final tool and a usability evaluation and subsequent fine-tuning. The tool is a unique visualisation that allows users to benefit with a few clicks from getting the information they require for their needs, and offers novel scientific indicators to characterize (relative) rare disease research activity. We discuss the applications of insights derived from this tool for science policy and to support decision making, and to identify opportunities and potential collaborations and make recommendations for future developments, including a broadening of the scope and discuss potential novel applications.
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为荷兰罕见病研究开发研究情报工具
本文介绍了荷兰罕见病研究智能分析工具的开发过程。据我们所知,这是第一个可以利用成熟的注释和自然语言处理机制来显示和组织罕见病科学成果的工具。我们重点介绍了开发过程中的各个环节,包括战略动机和用户需求、概念验证工具的开发、将这一想法升级为国家合作项目、最终工具的开发、可用性评估和后续微调。该工具是一种独特的可视化工具,用户只需点击几下就能获得所需的信息,并提供了新的科学指标来描述(相对的)罕见病研究活动。我们讨论了从该工具中获得的见解在科学政策、支持决策、确定机会和潜在合作方面的应用,并对未来的发展提出了建议,包括扩大范围和讨论潜在的新应用。
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来源期刊
Quantitative Science Studies
Quantitative Science Studies INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
12.10
自引率
12.50%
发文量
46
审稿时长
22 weeks
期刊介绍:
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