Results of user research project to understand data curation practices

Supporting scalable curation is a part of the mission of the Elixir Data Platform.Thus far, we have established infrastructure capable of ingesting and aggregating text-mined outputs from multiple providers and making these available via an API. This public API is used by Europe PMC to display specific entities and relationships on full text articles (via the SciLite application). To ensure that the future development of this infrastructure meets the needs of curators, we first carried out user research to understand and identify common workflow patterns and practices via an observational study. Building on these outcomes, we then devised a curator community survey to more specifically understand which entity types, sections of a paper and tools are of top priority to address. The results of the project is presented here.可扩展的编目工作支持是ELIXIR数据平台（ELIXIR Data Platform）使命的组成部分。截至目前，我们已搭建起可从多家供应商处获取并整合文本挖掘产出的基础设施，并可通过应用程序接口（API）对外提供服务。该公共API被欧洲PubMed Central（Europe PMC）用于在全文文章中展示特定实体与关联关系，具体通过SciLite应用（SciLite application）实现。为确保该基础设施的后续开发能够满足编目人员的需求，我们首先通过观察性研究开展用户调研，以梳理并识别常见的工作流程模式与实践方法。基于上述调研结果，我们随后设计了编目人员社区调查问卷，以更精准地明确亟需优先处理的实体类型、论文章节及工具方向。本项目的研究结果已在此呈现。