Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK.
Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
BMJ Paediatr Open. 2024 Jun 5;8(Suppl 1):e002443. doi: 10.1136/bmjpo-2023-002443.
As a topic of inquiry in its own right, data management for interdisciplinary research projects is in its infancy. Key issues include the inability of researchers to effectively query diverse data outputs and to identify potentially important synergies between discipline-specific data. Equally problematic, few semantic ontologies exist to better support data organisation and discovery. Finally, while interdisciplinary research is widely regarded as beneficial to unpacking complex problems, non-researchers such as policy-makers and planners often struggle to use and interrogate the related datasets. To address these issues, the following article details the design and development of the UKRI GCRF Action Against Stunting Hub (AASH)'s All-Hub Data Repository (AHDR).
The AHDR is a single application, single authentication web-based platform comprising a data warehouse to store data from across the AASH's three study countries and to support data querying. Four novel components of the AHDR are described in the following article: (1) a unique data discovery tool; (2) a metadata catalogue that provides researchers with an interface to explore the AASH's data outputs and engage with a new semantic ontology related to child stunting; (3) an interdisciplinary aid to support a directed approach to identifying synergies and interactions between AASH data and (4) a decision support tool that will support non-researchers in engaging with the wider evidence-based outputs of the AASH.
Ethical approval for this study was granted by institutional ethics committees in the UK, India, Indonesia and Senegal. Results will be disseminated via publications in peer-reviewed journals; presentations at international conferences and community-level public engagement events; key stakeholder meetings; and in public repositories with appropriate Creative Commons licences allowing for the widest possible use.
作为一个独立的研究课题,跨学科研究项目的数据管理仍处于起步阶段。关键问题包括研究人员无法有效地查询各种数据输出,以及识别特定于学科的数据之间可能存在的重要协同作用。同样存在问题的是,几乎没有语义本体论来更好地支持数据组织和发现。最后,尽管跨学科研究被广泛认为有助于解决复杂问题,但政策制定者和规划者等非研究人员通常难以使用和审查相关数据集。为了解决这些问题,本文详细介绍了 UKRI GCRF 反发育迟缓中心(AASH)全中心数据存储库(AHDR)的设计和开发。
AHDR 是一个单一应用程序、单一身份验证的基于网络的平台,包括一个数据仓库,用于存储来自 AASH 三个研究国家的数据,并支持数据查询。本文介绍了 AHDR 的四个新组件:(1)独特的数据发现工具;(2)元数据目录,为研究人员提供了一个探索 AASH 数据输出并与新的儿童发育迟缓语义本体论交互的接口;(3)跨学科辅助工具,以支持有针对性地识别 AASH 数据之间的协同作用和交互作用;(4)决策支持工具,将支持非研究人员参与 AASH 的更广泛循证产出。
本研究已获得英国、印度、印度尼西亚和塞内加尔机构伦理委员会的伦理批准。研究结果将通过在同行评议期刊上发表文章、在国际会议和社区层面的公众参与活动上发表演讲、召开主要利益攸关方会议,以及在适当的知识共享许可下发布到公共存储库中进行传播,以实现尽可能广泛的使用。