Health Sciences Library, New York University Grossman School of Medicine, New York, New York, USA.
J Am Med Inform Assoc. 2023 Sep 25;30(10):1693-1700. doi: 10.1093/jamia/ocad125.
Researchers at New York University (NYU) Grossman School of Medicine contacted the Health Sciences Library for help with locating large datasets for reuse. In response, the library developed and maintained the NYU Data Catalog, a public-facing data catalog that has supported not only faculty acquisition of data but also the dissemination of the products of their research in various ways.
The current NYU Data Catalog is built upon the Symfony framework with a tailored metadata schema reflecting the scope of faculty research areas. The project team curates new resources, including datasets and supporting software code, and conducts quarterly and annual evaluations to assess user interactions with the NYU Data Catalog and opportunities for growth.
Since its launch in 2015, the NYU Data Catalog underwent a number of changes prompted by an increase in the disciplines represented by faculty contributors. The catalog has also utilized faculty feedback to enhance support of data reuse and researcher collaboration through alterations to its schema, layout, and visibility of records.
These findings demonstrate the flexibility of data catalogs as a platform for enabling the discovery of disparate sources of data. While not a repository, the NYU Data Catalog is well-positioned to support mandates for data sharing from study sponsors and publishers.
The NYU Data Catalog makes the most of the data that researchers share and can be harnessed as a modular and adaptable platform to promote data sharing as a cultural practice.
纽约大学（NYU）格罗斯曼医学院的研究人员联系健康科学图书馆，寻求帮助以找到可重复使用的大型数据集。作为回应，该图书馆开发并维护了 NYU 数据目录，这是一个面向公众的数据目录，不仅支持教师获取数据，还以各种方式支持他们研究成果的传播。
当前的 NYU 数据目录构建在 Symfony 框架之上，具有反映教师研究领域范围的定制元数据架构。项目团队策划新资源，包括数据集和支持软件代码，并进行季度和年度评估，以评估用户与 NYU 数据目录的交互情况以及增长机会。
自 2015 年推出以来，NYU 数据目录因教师贡献者所代表学科的增加而经历了多次变更。该目录还利用教师的反馈意见，通过改变其架构、布局和记录的可见性，增强对数据重用和研究人员合作的支持。
这些发现表明数据目录作为发现不同数据源的平台具有灵活性。虽然不是存储库，但 NYU 数据目录非常适合支持研究赞助商和出版商的数据共享要求。
NYU 数据目录充分利用了研究人员共享的数据，可以作为一个模块化和适应性强的平台来促进数据共享作为一种文化实践。
