Author-institution contingency.

The Open Science model has fostered new communication and archiving processes, supported by information technology. Within this framework, the open deposit of health-related datasets and their use in evaluating researchers and institutions are encouraged, with emerging information systems offering open alternatives to traditional databases. This study aims to analyse OpenAlex as a tool for retrieving research-derived datasets in a pilot study in the field of addictive substances, to determine whether it serves to automatically evaluate researchers and institutions inherent in the retrieved datasets. Results show that four repositories accounted for 85.8% of the 2782 datasets related to the addictive substances, being 30% of the records properly datasets followed by Comments on scientific investigation (21.4%), Monographs (15.1%) and Periodical publications (7.6%). In addition, missing information such as author identification (30.2%) or affiliation (69%) in the source repositories and data aggregators have been detected. Consequently, the assessment of researchers and institutions through datasets retrieved by OpenAlex would be improved by subsequently curating the information records. In conclusion, OpenAlex is a powerful tool in the Open Science medical ecosystem, and its accuracy could be enhanced by verifying the datasets collected via research information management infrastructures as well as by training professionals.

开放科学（Open Science）模式依托信息技术支撑，催生了新型的交流与存档流程。在此框架下，健康相关数据集的开放存储，以及利用这类数据集开展研究人员与科研机构评估的应用场景得到鼓励，新兴信息系统为传统数据库提供了开放化替代方案。
本研究以成瘾物质领域的试点研究为场景，旨在分析OpenAlex作为科研衍生数据集检索工具的适用性，以验证其能否自动评估所检索数据集所关联的研究人员与科研机构。
结果显示，在2782个与成瘾物质相关的数据集中，4个数据仓储库覆盖了其中85.8%的资源；其中合规数据集占总记录的30%，其余类别依次为科研评论（21.4%）、专著（15.1%）与期刊出版物（7.6%）。此外，研究还发现源仓储库与数据聚合平台中存在大量信息缺失问题，例如作者标识缺失率达30.2%，机构归属信息缺失率达69%。
因此，若后续对信息记录进行整理优化，将能够提升依托OpenAlex检索的数据集开展的研究人员与机构评估工作的准确性。
综上，OpenAlex是开放科学医疗生态体系中的高效工具；通过依托科研信息管理基础设施对采集到的数据集进行核验，并开展专业人员培训，可进一步提升其应用精度。